US20110007824A1 - System communication systems and methods for electric vehicle power management - Google Patents

System communication systems and methods for electric vehicle power management Download PDF

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Publication number
US20110007824A1
US20110007824A1 US12/751,853 US75185310A US2011007824A1 US 20110007824 A1 US20110007824 A1 US 20110007824A1 US 75185310 A US75185310 A US 75185310A US 2011007824 A1 US2011007824 A1 US 2011007824A1
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Prior art keywords
power
network
power flow
electric
management system
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US12/751,853
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Seth W. Bridges
Joby Lafky
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Gridpoint Inc
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Gridpoint Inc
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Priority to US12/751,853 priority Critical patent/US20110007824A1/en
Publication of US20110007824A1 publication Critical patent/US20110007824A1/en
Priority to US13/671,717 priority patent/US8796881B2/en
Priority to US14/338,427 priority patent/US9283862B2/en
Priority to US15/926,386 priority patent/US20190061535A1/en
Abandoned legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/30Constructional details of charging stations
    • B60L53/305Communication interfaces
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/10Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles characterised by the energy transfer between the charging station and the vehicle
    • B60L53/14Conductive energy transfer
    • B60L53/18Cables specially adapted for charging electric vehicles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/63Monitoring or controlling charging stations in response to network capacity
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/64Optimising energy costs, e.g. responding to electricity rates
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/65Monitoring or controlling charging stations involving identification of vehicles or their battery types
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/66Data transfer between charging stations and vehicles
    • B60L53/665Methods related to measuring, billing or payment
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/68Off-site monitoring or control, e.g. remote control
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L55/00Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D29/00Simultaneous control of electric and non-electric variables
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/70Interactions with external data bases, e.g. traffic centres
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/10The dispersed energy generation being of fossil origin, e.g. diesel generators
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/72Electric energy management in electromobility
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02T90/12Electric charging stations
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02T90/16Information or communication technologies improving the operation of electric vehicles
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02T90/167Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
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    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/126Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
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    • Y04S30/00Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/12Remote or cooperative charging
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
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    • Y04S30/00Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/14Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Definitions

  • the present invention relates in general to the field of electric vehicles, and in particular to novel systems and methods for system communication and interaction between electric vehicles and the electrical grid.
  • Modern vehicles contain a variety of subsystems that may benefit from communications with various off-vehicle entities.
  • multiple application-level protocols may further develop for the control of power flow for electric vehicles and within the home.
  • energy management protocols are being developed for both Zigbee and Homeplug.
  • a vehicle manufacturer may need to support multiple physical communications mediums.
  • ZigBee is used in some installations while PLC is used in others.
  • the use of multiple incompatible protocols may pose an barrier to deployment. For example, if a homeowner buys a car that utilizes one protocol and receives a utility meter that uses another protocol, it is unlikely that either device will quickly replace other device.
  • a system for minimizing network traffic consumption in a power flow management system includes devices operable to generate, consume, or store electric energy, and a power flow management system, which manages power flow transferred between the plurality of devices and a power grid.
  • This minimization system also includes a network to communicate device information and power flow information between the power flow management system and the devices.
  • the device information is received by the power flow management system.
  • the power flow information is transmitted by the power flow management system, and includes an energy rate command received by a devices.
  • the power flow management system reduces consumption of the traffic traversing the network via a network traffic consumption reduction technique.
  • the system includes networks that connect electric devices and electric power supplies.
  • One network utilizes a communications protocol that is different from the communications protocol utilized by another network.
  • a communications protocol translation device communicates with the networks, and formulates messages from one communications protocol to the other communications protocol. The reformulated messages pass from one network to another network.
  • FIG. 1 is a diagram of an example of a power aggregation system.
  • FIGS. 2A-2B are diagrams of an example of connections between an electric vehicle, the power grid, and the Internet.
  • FIG. 3 is a block diagram of an example of connections between an electric resource and a flow control server of the power aggregation system.
  • FIG. 4 is a diagram of an example of a layout of the power aggregation system.
  • FIG. 5 is a diagram of an example of control areas in the power aggregation system.
  • FIG. 6 is a diagram of multiple flow control centers in the power aggregation system and a directory server for determining a flow control center.
  • FIG. 7 is a block diagram of an example of flow control server.
  • FIG. 8A is a block diagram of an example of remote intelligent power flow module.
  • FIG. 8B is a block diagram of an example of transceiver and charging component combination.
  • FIG. 8C is an illustration of an example of simple user interface for facilitating user controlled charging.
  • FIG. 9 is a diagram of an example of resource communication protocol.
  • FIG. 10 is a flow chart of an example of a bandwidth minimization technique.
  • FIG. 11 is a flow chart of an example of a protocol translation system.
  • FIG. 12 is a block diagram of an example of a communications protocol translation device.
  • a system communicates over the Internet and/or some other public or private networks with numerous individual electric resources connected to a power grid (hereinafter, “grid”). By communicating, the system can dynamically aggregate these electric resources to provide power services to grid operators (e.g. utilities, Independent System Operators (ISO), etc).
  • grid operators e.g. utilities, Independent System Operators (ISO), etc.
  • Power services refers to energy delivery as well as other ancillary services including demand response, regulation, spinning reserves, non-spinning reserves, energy imbalance, reactive power, and similar products.
  • Aggregation refers to the ability to control power flows into and out of a set of spatially distributed electric resources with the purpose of providing a power service of larger magnitude.
  • Charge Control Management refers to enabling or performing the starting, stopping, or level-setting of a flow of power between a power grid and an electric resource.
  • Power grid operator refers to the entity that is responsible for maintaining the operation and stability of the power grid within or across an electric control area.
  • the power grid operator may constitute some combination of manual/human action/intervention and automated processes controlling generation signals in response to system sensors.
  • a “control area operator” is one example of a power grid operator.
  • Control area refers to a contained portion of the electrical grid with defined input and output ports. The net flow of power into this area must equal (within some error tolerance) the sum of the power consumption within the area and power outflow from the area.
  • Power grid as used herein means a power distribution system/network that connects producers of power with consumers of power.
  • the network may include generators, transformers, interconnects, switching stations, and safety equipment as part of either/both the transmission system (i.e., bulk power) or the distribution system (i.e. retail power).
  • the power aggregation system is vertically scalable for use within a neighborhood, a city, a sector, a control area, or (for example) one of the eight large-scale Interconnects in the North American Electric Reliability Council (NERC).
  • the system is horizontally scalable for use in providing power services to multiple grid areas simultaneously.
  • Grid conditions refers to the need for more or less power flowing in or out of a section of the electric power grid, in response to one of a number of conditions, for example supply changes, demand changes, contingencies and failures, ramping events, etc. These grid conditions typically manifest themselves as power quality events such as under- or over-voltage events or under- or over-frequency events.
  • Power quality events typically refers to manifestations of power grid instability including voltage deviations and frequency deviations; additionally, power quality events as used herein also includes other disturbances in the quality of the power delivered by the power grid such as sub-cycle voltage spikes and harmonics.
  • Electric resource typically refers to electrical entities that can be commanded to do some or all of these three things: take power (act as load), provide power (act as power generation or source), and store energy. Examples may include battery/charger/inverter systems for electric or hybrid-electric vehicles, repositories of used-but-serviceable electric vehicle batteries, fixed energy storage, fuel cell generators, emergency generators, controllable loads, etc.
  • Electric vehicle is used broadly herein to refer to pure electric and hybrid electric vehicles, such as plug-in hybrid electric vehicles (PHEVs), especially vehicles that have significant storage battery capacity and that connect to the power grid for recharging the battery. More specifically, electric vehicle means a vehicle that gets some or all of its energy for motion and other purposes from the power grid. Moreover, an electric vehicle has an energy storage system, which may consist of batteries, capacitors, etc., or some combination thereof. An electric vehicle may or may not have the capability to provide power back to the electric grid.
  • PHEVs plug-in hybrid electric vehicles
  • Electric vehicle “energy storage systems” (batteries, super capacitors, and/or other energy storage devices) are used herein as a representative example of electric resources intermittently or permanently connected to the grid that can have dynamic input and output of power. Such batteries can function as a power source or a power load.
  • a collection of aggregated electric vehicle batteries can become a statistically stable resource across numerous batteries, despite recognizable tidal connection trends (e.g., an increase in the total number of vehicles connected to the grid at night; a downswing in the collective number of connected batteries as the morning commute begins, etc.)
  • connection trends are predictable and such batteries become a stable and reliable resource to call upon, should the grid or a part of the grid (such as a person's home in a blackout) experience a need for increased or decreased power.
  • Data collection and storage also enable the power aggregation system to predict connection behavior on a per-user basis.
  • FIG. 1 shows a power aggregation system 100 .
  • a flow control center 102 is communicatively coupled with a network, such as a public/private mix that includes the Internet 104 , and includes one or more servers 106 providing a centralized power aggregation service.
  • Internet 104 will be used herein as representative of many different types of communicative networks and network mixtures (e.g., one or more wide area networks—public or private—and/or one or more local area networks).
  • the flow control center 102 maintains communication 108 with operators of power grid(s), and communication 110 with remote resources, i.e., communication with peripheral electric resources 112 (“end” or “terminal” nodes/devices of a power network) that are connected to the power grid 114 .
  • power line communicators such as those that include or consist of Ethernet-over-power line bridges 120 are implemented at connection locations so that the “last mile” (in this case, last feet—e.g., in a residence 124 ) of Internet communication with remote resources is implemented over the same wire that connects each electric resource 112 to the power grid 114 .
  • each physical location of each electric resource 112 may be associated with a corresponding Ethernet-over-power line bridge 120 (hereinafter, “bridge”) at or near the same location as the electric resource 112 .
  • Each bridge 120 is typically connected to an Internet access point of a location owner, as will be described in greater detail below.
  • the communication medium from flow control center 102 to the connection location, such as residence 124 can take many forms, such as cable modem, DSL, satellite, fiber, WiMax, etc.
  • electric resources 112 may connect with the Internet by a different medium than the same power wire that connects them to the power grid 114 .
  • a given electric resource 112 may have its own wireless capability to connect directly with the Internet 104 or an Internet access point and thereby with the flow control center 102 .
  • Electric resources 112 of the power aggregation system 100 may include the batteries of electric vehicles connected to the power grid 114 at residences 124 , parking lots 126 etc.; batteries in a repository 128 , fuel cell generators, private dams, conventional power plants, and other resources that produce electricity and/or store electricity physically or electrically.
  • each participating electric resource 112 or group of local resources has a corresponding remote intelligent power flow (IPF) module 134 (hereinafter, “remote IPF module” 134 ).
  • the centralized flow control center 102 administers the power aggregation system 100 by communicating with the remote IPF modules 134 distributed peripherally among the electric resources 112 .
  • the remote IPF modules 134 perform several different functions, including, but not limited to, providing the flow control center 102 with the statuses of remote resources; controlling the amount, direction, and timing of power being transferred into or out of a remote electric resource 112 ; providing metering of power being transferred into or out of a remote electric resource 112 ; providing safety measures during power transfer and changes of conditions in the power grid 114 ; logging activities; and providing self-contained control of power transfer and safety measures when communication with the flow control center 102 is interrupted.
  • the remote IPF modules 134 will be described in greater detail below.
  • each electric resource 112 may have a corresponding transceiver (not shown) to communicate with a local charging component (not shown).
  • the transceiver and charging component in combination, may communicate with flow control center 102 to perform some or all of the above mentioned functions of IPF module 134 .
  • a transceiver and charging component are shown in FIG. 2B and are described in greater detail herein.
  • FIG. 2A shows another view of electrical and communicative connections to an electric resource 112 .
  • an electric vehicle 200 includes a battery bank 202 and a remote IPF module 134 .
  • the electric vehicle 200 may connect to a conventional wall receptacle (wall outlet) 204 of a residence 124 , the wall receptacle 204 representing the peripheral edge of the power grid 114 connected via a residential powerline 206 .
  • the power cord 208 between the electric vehicle 200 and the wall outlet 204 can be composed of only conventional wire and insulation for conducting alternating current (AC) power to and from the electric vehicle 200 .
  • a location-specific connection locality module 210 performs the function of network access point—in this case, the Internet access point.
  • a bridge 120 intervenes between the receptacle 204 and the network access point so that the power cord 208 can also carry network communications between the electric vehicle 200 and the receptacle 204 .
  • connection locality module 210 With such a bridge 120 and connection locality module 210 in place in a connection location, no other special wiring or physical medium is needed to communicate with the remote IPF module 134 of the electric vehicle 200 other than a conventional power cord 208 for providing residential line current at any conventional voltage. Upstream of the connection locality module 210 , power and communication with the electric vehicle 200 are resolved into the powerline 206 and an Internet cable 104 .
  • the power cord 208 may include safety features not found in conventional power and extension cords.
  • an electrical plug 212 of the power cord 208 may include electrical and/or mechanical safeguard components to prevent the remote IPF module 134 from electrifying or exposing the male conductors of the power cord 208 when the conductors are exposed to a human user.
  • a radio frequency (RF) bridge may assist the remote IPF module 134 in communicating with a foreign system, such as a utility smart meter (not shown) and/or a connection locality module 210 .
  • the remote IPF module 134 may be equipped to communicate over power cord 208 or to engage in some form of RF communication, such as Zigbee or BluetoothTM, and the foreign system may be able to engage in a different form of RF communication.
  • the RF bridge may be equipped to communicate with both the foreign system and remote IPF module 134 and to translate communications from one to a form the other may understand, and to relay those messages.
  • the RF bridge may be integrated into the remote IPF module 134 or foreign system, or may be external to both.
  • the communicative associations between the RF bridge and remote IPF module 134 and between the RF bridge and foreign system may be via wired or wireless communication.
  • FIG. 2B shows a further view of electrical and communicative connections to an electric resource 112 .
  • the electric vehicle 200 may include a transceiver 212 rather than a remote IPF module 134 .
  • the transceiver 212 may be communicatively coupled to a charging component 214 through a connection 216 , and the charging component itself may be coupled to a conventional wall receptacle (wall outlet) 204 of a residence 124 and to electric vehicle 200 through a power cord 208 .
  • the other components shown in FIG. 2B may have the couplings and functions discussed with regard to FIG. 2A .
  • transceiver 212 and charging component 214 may, in combination, perform the same functions as the remote IPF module 134 .
  • Transceiver 212 may interface with computer systems of electric vehicle 200 and communicate with charging component 214 , providing charging component 214 with information about electric vehicle 200 , such as its vehicle identifier, a location identifier, and a state of charge.
  • transceiver 212 may receive requests and commands which transceiver 212 may relay to vehicle 200 ′s computer systems.
  • Charging component 214 may effectuate charge control of the electric vehicle 200 . If the electric vehicle 200 is not capable of charge control management, charging component 214 may directly manage the charging of electric vehicle 200 by stopping and starting a flow of power between the electric vehicle 200 and a power grid 114 in response to commands received from a flow control server 106 . If, on the other hand, the electric vehicle 200 is capable of charge control management, charging component 214 may effectuate charge control by sending commands to the electric vehicle 200 through the transceiver 212 .
  • the transceiver 212 may be physically coupled to the electric vehicle 200 through a data port, such as an OBD-II connector. In other embodiments, other couplings may be used.
  • the connection 216 between transceiver 212 and charging component 214 may be a wireless signal, such as a radio frequency (RF), such as a Zigbee, or BluetoothTM signal.
  • charging component 214 may include a receiver socket to couple with power cord 208 and a plug to couple with wall outlet 204 .
  • charging component 214 may be coupled to connection locality module 210 in either a wired or wireless fashion.
  • charging component 214 may have a data interface for communicating wirelessly with both the transceiver 212 and locality module 210 . In such an embodiment, the bridge 120 may not be required.
  • transceiver 212 and charging component 214 Further details about the transceiver 212 and charging component 214 are illustrated by FIG. 8B and described in greater detail herein.
  • FIG. 3 shows another implementation of the connection locality module 210 of FIG. 2 , in greater detail.
  • an electric resource 112 has an associated remote IPF module 134 , including a bridge 120 .
  • the power cord 208 connects the electric resource 112 to the power grid 114 and also to the connection locality module 210 in order to communicate with the flow control server 106 .
  • the connection locality module 210 includes another instance of a bridge 120 , connected to a network access point 302 , which may include such components as a router, switch, and/or modem, to establish a hardwired or wireless connection with, in this case, the Internet 104 .
  • the power cord 208 between the two bridges 120 and 120 ′ is replaced by a wireless Internet link, such as a wireless transceiver in the remote IPF module 134 and a wireless router in the connection locality module 210 .
  • a transceiver 212 and charging component 214 may be used instead of a remote IPF module 134 .
  • the charging component 214 may include or be coupled to a bridge 120
  • the connection locality module 210 may also include a bridge 120 ′, as shown.
  • charging component 214 and connection locality module 210 may communicate in a wired or wireless fashion, as mentioned previously, without bridges 120 and 120 ′.
  • the wired or wireless communication may utilize any sort of connection technology known in the art, such as Ethernet or RF communication, such as Zigbee, or Bluetooth.
  • FIG. 4 shows a layout 400 of the power aggregation system 100 .
  • the flow control center 102 can be connected to many different entities, e.g., via the Internet 104 , for communicating and receiving information.
  • the layout 400 includes electric resources 112 , such as plug-in electric vehicles 200 , physically connected to the grid within a single control area 402 .
  • the electric resources 112 become an energy resource for grid operators 404 to utilize.
  • the layout 400 also includes end users 406 classified into electric resource owners 408 and electrical connection location owners 410 , who may or may not be one and the same.
  • the stakeholders in a power aggregation system 100 include the system operator at the flow control center 102 , the grid operator 404 , the resource owner 408 , and the owner of the location 410 at which the electric resource 112 is connected to the power grid 114 .
  • Electrical connection location owners 410 can include:
  • Rental car lots —rental car companies often have a large portion of their fleet parked in the lot. They can purchase fleets of electric vehicles 200 and, participating in a power aggregation system 100 , generate revenue from idle fleet vehicles.
  • Residences a home garage can merely be equipped with a connection locality module 210 to enable the homeowner to participate in the power aggregation system 100 and generate revenue from a parked car. Also, the vehicle battery 202 and associated power electronics within the vehicle can provide local power backup power during times of peak load or power outages.
  • the grid operations 116 of FIG. 4 collectively include interactions with energy markets 412 , the interactions of grid operators 404 , and the interactions of automated grid controllers 118 that perform automatic physical control of the power grid 114 .
  • the flow control center 102 may also be coupled with information sources 414 for input of weather reports, events, price feeds, etc.
  • Other data sources 414 include the system stakeholders, public databases, and historical system data, which may be used to optimize system performance and to satisfy constraints on the power aggregation system 100 .
  • a power aggregation system 100 may consist of components that:
  • These components can be running on a single computing resource (computer, etc.), or on a distributed set of resources (either physically co-located or not).
  • Power aggregation systems 100 in such a layout 400 can provide many benefits: for example, lower-cost ancillary services (i.e., power services), fine-grained (both temporal and spatial) control over resource scheduling, guaranteed reliability and service levels, increased service levels via intelligent resource scheduling, and/or firming of intermittent generation sources such as wind and solar power generation.
  • the power aggregation system 100 enables a grid operator 404 to control the aggregated electric resources 112 connected to the power grid 114 .
  • An electric resource 112 can act as a power source, load, or storage, and the resource 112 may exhibit combinations of these properties.
  • Control of a set of electric resources 112 is the ability to actuate power consumption, generation, or energy storage from an aggregate of these electric resources 112 .
  • FIG. 5 shows the role of multiple control areas 402 in the power aggregation system 100 .
  • Each electric resource 112 can be connected to the power aggregation system 100 within a specific electrical control area.
  • a single instance of the flow control center 102 can administer electric resources 112 from multiple distinct control areas 501 (e.g., control areas 502 , 504 , and 506 ).
  • this functionality is achieved by logically partitioning resources within the power aggregation system 100 . For example, when the control areas 402 include an arbitrary number of control areas, control area “A” 502 , control area “B” 504 , . . .
  • grid operations 116 can include corresponding control area operators 508 , 510 , . . . , and 512 .
  • Further division into a control hierarchy that includes control division groupings above and below the illustrated control areas 402 allows the power aggregation system 100 to scale to power grids 114 of different magnitudes and/or to varying numbers of electric resources 112 connected with a power grid 114 .
  • FIG. 6 shows a layout 600 of a power aggregation system 100 that uses multiple centralized flow control centers 102 and 102 ′ and a directory server 602 for determining a flow control center.
  • Each flow control center 102 and 102 ′ has its own respective end users 406 and 406 ′.
  • Control areas 402 to be administered by each specific instance of a flow control center 102 can be assigned dynamically.
  • a first flow control center 102 may administer control area A 502 and control area B 504
  • a second flow control center 102 ′ administers control area n 506 .
  • corresponding control area operators 508 , 510 , and 512
  • an electric resource may determine which flow control center 102 / 102 ′ administers its control area 502 / 504 / 506 by communicating with a directory server 602 .
  • the address of the directory server 602 may be known to electric resource 112 or its associated IPF module 134 or charging component 214 .
  • the electric resource 112 may communicate with the directory server 602 , providing the directory server 112 with a resource identifier and/or a location identifier. Based on this information, the directory server 602 may respond, identifying which flow control center 102 / 102 ′ to use.
  • directory server 602 may be integrated with a flow control server 106 of a flow control center 102 / 102 ′.
  • the electric resource 112 may contact the server 106 .
  • the server 106 may either interact with the electric resource 112 itself or forward the connection to another flow control center 102 / 102 ′ responsible for the location identifier provided by the electric resource 112 .
  • directory server 602 may include a publicly accessible database for mapping locations to flow control centers 102 / 102 ′.
  • FIG. 7 shows a server 106 of the flow control center 102 .
  • the illustrated implementation in FIG. 7 is only one example configuration, for descriptive purposes. Many other arrangements of the illustrated components or even different components constituting a server 106 of the flow control center 102 are possible within the scope of the subject matter.
  • Such a server 106 and flow control center 102 can be executed in hardware, software, or combinations of hardware, software, firmware, etc.
  • the flow control server 106 includes a connection manager 702 to communicate with electric resources 112 , a prediction engine 704 that may include a learning engine 706 and a statistics engine 708 , a constraint optimizer 710 , and a grid interaction manager 712 to receive grid control signals 714 .
  • Grid control signals 714 are sometimes referred to as generation control signals, such as automated generation control (AGC) signals.
  • AGC automated generation control
  • the flow control server 106 may further include a database/information warehouse 716 , a web server 718 to present a user interface to electric resource owners 408 , grid operators 404 , and electrical connection location owners 410 ; a contract manager 720 to negotiate contract terms with energy markets 412 , and an information acquisition engine 414 to track weather, relevant news events, etc., and download information from public and private databases 722 for predicting behavior of large groups of the electric resources 112 , monitoring energy prices, negotiating contracts, etc.
  • a database/information warehouse 716 to present a user interface to electric resource owners 408 , grid operators 404 , and electrical connection location owners 410 ;
  • a contract manager 720 to negotiate contract terms with energy markets 412 , and an information acquisition engine 414 to track weather, relevant news events, etc., and download information from public and private databases 722 for predicting behavior of large groups of the electric resources 112 , monitoring energy prices, negotiating contracts, etc.
  • FIG. 8A shows the remote IPF module 134 of FIGS. 1 and 2 in greater detail.
  • the illustrated remote IPF module 134 is only one example configuration, for descriptive purposes. Many other arrangements of the illustrated components or even different components constituting a remote IPF module 134 are possible within the scope of the subject matter.
  • Such a remote IPF module 134 has some hardware components and some components that can be executed in hardware, software, or combinations of hardware, software, firmware, etc.
  • executable instructions configured to perform some or all of the operations of remote IPF module 134 may be added to hardware of an electric resource 112 such as an electric vehicle that, when combined with the executable instructions, provides equivalent functionality to remote IPF module 134 . References to remote IPF module 134 as used herein include such executable instructions.
  • the illustrated example of a remote IPF module 134 is represented by an implementation suited for an electric vehicle 200 .
  • some vehicle systems 800 are included as part of the remote IPF module 134 for the sake of description.
  • the remote IPF module 134 may exclude some or all of the vehicles systems 800 from being counted as components of the remote IPF module 134 .
  • the depicted vehicle systems 800 include a vehicle computer and data interface 802 , an energy storage system, such as a battery bank 202 , and an inverter/charger 804 .
  • the remote IPF module 134 also includes a communicative power flow controller 806 .
  • the communicative power flow controller 806 in turn includes some components that interface with AC power from the grid 114 , such as a powerline communicator, for example an Ethernet-over-powerline bridge 120 , and a current or current/voltage (power) sensor 808 , such as a current sensing transformer.
  • the communicative power flow controller 806 also includes Ethernet and information processing components, such as a processor 810 or microcontroller and an associated Ethernet media access control (MAC) address 812 ; volatile random access memory 814 , nonvolatile memory 816 or data storage, an interface such as an RS-232 interface 818 or a CAN-bus interface 820 ; an Ethernet physical layer interface 822 , which enables wiring and signaling according to Ethernet standards for the physical layer through means of network access at the MAC/Data Link Layer and a common addressing format.
  • the Ethernet physical layer interface 822 provides electrical, mechanical, and procedural interface to the transmission medium—i.e., in one implementation, using the Ethernet-over-powerline bridge 120 .
  • wireless or other communication channels with the Internet 104 are used in place of the Ethernet-over-powerline bridge 120 .
  • the communicative power flow controller 806 also includes a bidirectional power flow meter 824 that tracks power transfer to and from each electric resource 112 , in this case the battery bank 202 of an electric vehicle 200 .
  • the communicative power flow controller 806 operates either within, or connected to an electric vehicle 200 or other electric resource 112 to enable the aggregation of electric resources 112 introduced above (e.g., via a wired or wireless communication interface).
  • These above-listed components may vary among different implementations of the communicative power flow controller 806 , but implementations typically include:
  • a user interface optionally, a user interface.
  • Implementations of the communicative power flow controller 806 can enable functionality including:
  • the communicative power flow controller 806 includes a central processor 810 , interfaces 818 and 820 for communication within the electric vehicle 200 , a powerline communicator, such as an Ethernet-over-powerline bridge 120 for communication external to the electric vehicle 200 , and a power flow meter 824 for measuring energy flow to and from the electric vehicle 200 via a connected AC powerline 208 .
  • a powerline communicator such as an Ethernet-over-powerline bridge 120 for communication external to the electric vehicle 200
  • a power flow meter 824 for measuring energy flow to and from the electric vehicle 200 via a connected AC powerline 208 .
  • Power is the rate of energy consumption per interval of time. Power indicates the quantity of energy transferred during a certain period of time, thus the units of power are quantities of energy per unit of time.
  • the power flow meter 824 measures power for a given electric resource 112 across a bidirectional flow—e.g., power from grid 114 to electric vehicle 200 or from electric vehicle 200 to the grid 114 .
  • the remote IPF module 134 can locally cache readings from the power flow meter 824 to ensure accurate transactions with the central flow control server 106 , even if the connection to the server is down temporarily, or if the server itself is unavailable.
  • FIG. 8B shows the transceiver 212 and charging component 214 of FIG. 2B in greater detail.
  • the illustrated transceiver 212 and charging component 214 is only one example configuration, for descriptive purposes. Many other arrangements of the illustrated components or even different components constituting the transceiver 212 and charging component 214 are possible within the scope of the subject matter.
  • Such a transceiver 212 and charging component 214 have some hardware components and some components that can be executed in hardware, software, or combinations of hardware, software, firmware, etc.
  • transceiver 212 and charging component 214 is represented by an implementation suited for an electric vehicle 200 .
  • vehicle systems 800 are illustrated to provide context to the transceiver 212 and charging component 214 components.
  • vehicle systems 800 include a vehicle computer and data interface 802 , an energy storage system, such as a battery bank 202 , and an inverter/charger 804 .
  • vehicle systems 800 may include a data port, such as an OBD-II port, that is capable of physically coupling with the transceiver 212 .
  • the transceiver 212 may then communicate with the vehicle computer and data interface 802 through the data port, receiving information from electric resource 112 comprised by vehicle systems 800 and, in some embodiments, providing commands to the vehicle computer and data interface 802 .
  • the vehicle computer and data interface 802 may be capable of charge control management.
  • the vehicle computer and data interface 802 may perform some or all of the charging component 214 operations discussed below.
  • executable instructions configured to perform some or all of the operations of the vehicle computer and data interface 802 may be added to hardware of an electric resource 112 such as an electric vehicle that, when combined with the executable instructions, provides equivalent functionality to the vehicle computer and data interface 802 .
  • References to the vehicle computer and data interface 802 as used herein include such executable instructions.
  • the transceiver 212 may have a physical form that is capable of coupling to a data port of vehicle systems 800 .
  • a transceiver 212 may also include a plurality of interfaces, such as an RS-232 interface 818 and/or a CAN-bus interface 820 .
  • the RS-232 interface 818 or CAN-bus interface 820 may enable the transceiver 212 to communicate with the vehicle computer and data interface 802 through the data port.
  • the transceiver may be or comprise an additional interface (not shown) capable of engaging in wireless communication with a data interface 820 of the charging component 214 .
  • the wireless communication may be of any form known in the art, such as radio frequency (RF) communication (e.g., Zigbee, and/or BluetoothTM communication).
  • RF radio frequency
  • the transceiver may comprise a separate conductor or may be configured to utilize a powerline 208 to communicate with charging component 214 .
  • transceiver 212 may simply be a radio frequency identification (RFID) tag capable of storing minimal information about the electric resource 112 , such as a resource identifier, and of being read by a corresponding RFID reader of charging component 214 .
  • RFID tag may not couple with a data port or communicate with the vehicle computer and data interface 802 .
  • the charging component 214 may be an intelligent plug device that is physically connected to a charging medium, such as a powerline 208 (the charging medium coupling the charging component 214 to the electric resource 112 ) and an outlet of a power grid (such as the wall outlet 204 shown in FIG. 2B ).
  • a charging medium such as a powerline 208 (the charging medium coupling the charging component 214 to the electric resource 112 ) and an outlet of a power grid (such as the wall outlet 204 shown in FIG. 2B ).
  • charging component 214 may be a charging station or some other external control.
  • the charging component 214 may be portable.
  • the charging component 214 may include components that interface with AC power from the grid 114 , such as a powerline communicator, for example an Ethernet-over-powerline bridge 120 , and a current or current/voltage (power) sensor 808 , such as a current sensing transformer.
  • a powerline communicator for example an Ethernet-over-powerline bridge 120
  • a current or current/voltage (power) sensor 808 such as a current sensing transformer.
  • the charging component 214 may include a further Ethernet plug or wireless interface in place of bridge 120 .
  • data-over-powerline communication is not necessary, eliminating the need for a bridge 120 .
  • the Ethernet plug or wireless interface may communicate with a local access point, and through that access point to flow control server 106 .
  • the charging component 214 may also include Ethernet and information processing components, such as a processor 810 or microcontroller and an associated Ethernet media access control (MAC) address 812 ; volatile random access memory 814 , nonvolatile memory 816 or data storage, a data interface 826 for communicating with the transceiver 212 , and an Ethernet physical layer interface 822 , which enables wiring and signaling according to Ethernet standards for the physical layer through means of network access at the MAC/Data Link Layer and a common addressing format.
  • the Ethernet physical layer interface 822 provides electrical, mechanical, and procedural interface to the transmission medium—i.e., in one implementation, using the Ethernet-over-powerline bridge 120 .
  • wireless or other communication channels with the Internet 104 are used in place of the Ethernet-over-powerline bridge 120 .
  • the charging component 214 may also include a bidirectional power flow meter 824 that tracks power transfer to and from each electric resource 112 , in this case the battery bank 202 of an electric vehicle 200 .
  • the charging component 214 may comprise an RFID reader to read the electric resource information from transceiver 212 when transceiver 212 is an RFID tag.
  • the charging component 214 may include a credit card reader to enable a user to identify the electric resource 112 by providing credit card information.
  • a transceiver 212 may not be necessary.
  • the charging component 214 may include a user interface, such as one of the user interfaces described in greater detail below.
  • Implementations of the charging component 214 can enable functionality including:
  • An electrical charging station whether free or for pay, can be installed with a user interface that presents useful information to the user. Specifically, by collecting information about the grid 114 , the electric resource state, and the preferences of the user, the station can present information such as the current electricity price, the estimated recharge cost, the estimated time until recharge, the estimated payment for uploading power to the grid 114 (either total or per hour), etc.
  • the information acquisition engine 414 communicates with the electric resource 112 and with public and/or private data networks 722 to acquire the data used in calculating this information.
  • the types of information gathered from the electric resource 112 can include an electric resource identifier (resource ID) and state information like the state of charge of the electric resource 112 .
  • the resource ID can be used to obtain knowledge of the electric resource type and capabilities, preferences, etc. through lookup with the flow control server 106 .
  • the charging station system including the UI may also gather grid-based information, such as current and future energy costs at the charging station.
  • electric resources 112 may receive charge control management via power aggregation system 100 .
  • an override control may be provided to override charge control management and charge as soon as possible.
  • the override control may be provided, in various embodiments, as a user interface mechanism of the remote IPF module 134 , the charging component 214 , of the electric resource (for example, if electric resource is a vehicle 200 , the user interface control may be integrated with dash controls of the vehicle 200 ) or even via a web page offered by flow control server 106 .
  • the control can be presented, for example, as a button, a touch screen option, a web page, or some other UI mechanism.
  • the UI may be the UI illustrated by FIG. 8C and discussed in greater detail below.
  • the override is a one-time override, only applying to a single plug-in session. Upon disconnecting and reconnecting, the user may again need to interact with the UI mechanism to override the charge control management.
  • the user may pay more to charge with the override on than under charge control management, thus providing an incentive for the user to accept charge control management.
  • a cost differential may be displayed or rendered to the user in conjunction with or on the UI mechanism. This differential can take into account time-varying pricing, such as Time of Use (TOU), Critical Peak Pricing (CPP), and Real-Time Pricing (RTP) schemes, as discussed above, as well as any other incentives, discounts, or payments that may be forgone by not accepting charge control management.
  • TOU Time of Use
  • CPP Critical Peak Pricing
  • RTP Real-Time Pricing
  • a user interface mechanism of the remote IPF module 134 , the charging component 214 , of the electric resource may enable a user to enter and/or edit management preferences to affect charge control management of the user's electric resource 112 .
  • the UI mechanism may allow the user to enter/edit general preferences, such as whether charge control management is enabled, whether vehicle-to-grid power flow is enabled or whether the electric resource 112 should only be charged with clean/green power.
  • the UI mechanism may enable a user to prioritize relative desires for minimizing costs, maximizing payments (i.e., fewer charge periods for higher amounts), achieving a full state-of-charge for the electric resource 112 , charging as rapidly as possible, and/or charging in as environmentally-friendly a way as possible. Additionally, the UI mechanism may enable a user to provide a default schedule for when the electric resource will be used (for example, if resource 112 is a vehicle 200 , the schedule is for when the vehicle 200 should be ready to drive).
  • the UI mechanism may enable the user to add or select special rules, such as a rule not to charge if a price threshold is exceeded or a rule to only use charge control management if it will earn the user at least a specified threshold of output. Charge control management may then be effectuated based on any part or all of these user entered preferences.
  • FIG. 8C illustrates a simple user interface (UI) which enables a user to control charging based on selecting among a limited number of high level preferences.
  • UI 2300 includes the categories “green”, “fast”, and “cheap” (with what is considered “green”, “fast”, and “cheap” varying from embodiment to embodiment).
  • the categories shown in UI 2300 are selected only for the sake of illustration and may instead includes these and/or any other categories applicable to electric resource 112 charging known in the art.
  • the UI 2300 may be very basic, using well known form controls such as radio buttons. In other embodiments, other graphic controls known in the art may be used.
  • the general categories may be mapped to specific charging behaviors, such as those discussed above, by a flow control server 106 .
  • FIG. 9 illustrates a resource communication protocol.
  • a remote IPF module 134 or charging component 214 may be in communication with a flow control server 106 over the Internet 104 or another networking fabric or combination of networking fabrics.
  • a protocol specifying an order of messages and/or a format for messages may be used to govern the communications between the remote IPF module 134 or charging component 214 and flow control server 106 .
  • the protocol may include two channels, one for messages initiated by the remote IPF module 134 or charging component 214 and for replies to those messages from the flow control server 106 , and another channel for messages initiated by the flow control server 106 and for replies to those messages from the remote IPF module 134 or charging component 214 .
  • the channels may be asynchronous with respect to each other (that is, initiation of messages on one channel may be entirely independent of initiation of messages on the other channel). However, each channel may itself be synchronous (that is, once a message is sent on a channel, another message may not be sent until a reply to the first message is received).
  • the remote IPF module 134 or charging component 214 may initiate communication 902 with the flow control server 106 .
  • communication 902 may be initiated when, for example, an electric resource 112 first plugs in/connects to the power grid 114 .
  • communication 902 may be initiated at another time or times.
  • the initial message 902 governed by the protocol may require, for example, one or more of an electric resource identifier, such as a MAC address, a protocol version used, and/or a resource identifier type.
  • a connection may be established between the remote IPF module 134 or charging component 214 and flow control server 106 .
  • the remote IPF module 134 or charging component 214 may register with flow control server 106 through a subsequent communication 903 .
  • Communication 903 may include a location identifier scheme, a latitude, a longitude, a max power value that the remote IPF module 134 or charging component 214 can draw, a max power value that the remote IPF module 134 or charging component 214 can provide, a current power value, and/or a current state of charge.
  • the protocol may require or allow messages 904 from the flow control server 106 to the remote IPF module 134 or charging component 214 or messages 906 from remote IPF module 134 or charging component 214 to the flow control server 106 .
  • the messages 904 may include, for example, one or more of commands, messages, and/or updates. Such messages 904 may be provided at any time after the initial message 902 .
  • messages 904 may include a command setting, a power level and/or a ping to determine whether the remote IPF module 134 or charging component 214 is still connected.
  • the messages 906 may include, for example, status updates to the information provided in the registration message 903 . Such messages 906 may be provided at any time after the initial message 902 . In one embodiment, the messages 906 may be provided on a pre-determined time interval basis. In various embodiments, messages 906 may even be sent when the remote IPF module 134 or charging component 214 is connected, but not registered. Such messages 906 may include data that is stored by flow control server 106 for later processing. Also, in some embodiments, messages 904 may be provided in response to a message 902 or 906 .
  • a distributed energy management system must be in constant communication with the distributed energy resources to maintain a high level of certainty that the system is behaving as reported. Sending messages between the energy management system and the distributed energy resources is expensive because each message has a cost associated with it. Minimizing the number of bytes sent between the system and the resources will minimize the communications cost of the system. Accordingly, the consumption of network bandwidth is reduced.
  • Bandwidth can refer to network bandwidth. Bandwidth is the number of bytes per second of data traffic that flows into or out of a device or control system.
  • Devices managed by the power flow management system can be any load, generation, or storage asset.
  • Storage assets can comprise batteries and bi-directional power electronics such as inverters and chargers.
  • Load assets may include water heaters, plug-in electric or plug-in hybrid electric vehicles, water heaters, generation facilities, or other controllable load, storage, or generation asset.
  • the disclosed system and methods can provide for the minimization of network traffic consumption in a system that manages the power flows to and from devices connected to a power grid.
  • This power flow management system communicates with the devices, and can be centralized or decentralized. Through this communication, information about power flows is communicated to devices and information about device behavior and status is communicated to the system.
  • the system communicates with the devices to instruct devices as to when and at what rate energy should be taken from and delivered to the grid. These commands enable the devices to consume or produce energy when doing so is deemed optimal by the power flow management system.
  • the instructions that are delivered to the devices by the power flow management system can take many forms.
  • One form of instruction is a direct command to flow power immediately at the requested level.
  • Another form of instruction is a schedule of power flow that should be followed by the device and can take many forms.
  • a schedule can indicate a single point in time at which a power flow level should be activated.
  • a schedule can indicate a sequence of power flow levels that should be activated at various times in the future.
  • the schedule can be repeating on a dynamic or fixed pattern, e.g. repeat a set of actions each day, each week, etc.
  • the devices also communicate information to the power flow management system about the current state of the world at the device.
  • Information that can be transmitted for the benefit of controlling power flows includes information about how much power is currently flowing through the device and in what direction, capacity information pertaining to the resource (e.g. storage state of charge, fuel level of a generator), faults and error messages, presence of a resource (e.g.: electric vehicles come and go; is the electric vehicle currently available), scheduling constraints (e.g. how long is the resource available), energy consumption in a period (e.g. kWh consumed/produced in the last time period), etc.
  • capacity information pertaining to the resource e.g. storage state of charge, fuel level of a generator
  • faults and error messages e.g.: faults and error messages
  • presence of a resource e.g.: electric vehicles come and go; is the electric vehicle currently available
  • scheduling constraints e.g. how long is the resource available
  • energy consumption in a period e.g. kWh consumed/produced in the last time period
  • Sending messages between the power flow management system and the devices requires the sending of data bytes across a network, which consumes network bandwidth. Because many communications costs can be directly measured by the number of bytes transferred to and from a device, minimizing the transfer of bytes between the device and the power flow management system minimizes the communications costs and consumption of network bandwidth.
  • a power flow management system can perform in a more efficient manner when it has complete information about the state of all of the devices under its control at all times. To realize this level of information awareness requires all assets to communication all information pertaining to the power flow management system in a timely fashion. Such a level of information communication comes with an associated cost.
  • Such techniques include the following: data compression, data overhead reduction, action/schedule pre-distribution, minimum change dispatch, communication of all status changes, configuration limits on relevant behavior, and non-time-critical information bundling. These bandwidth minimization techniques, and embodiments thereof, are further described below.
  • Data Compression One of the techniques for minimizing bytes between the system and the distributed resources is data compression within a message. Compressing the data that is sent between the power flow management system and the distributed devices can reduce the total network traffic consumption.
  • a power flow management system that communicates with devices can send compressed messages to save on network traffic.
  • One manner in which this works is to have both the power flow management server and the device use a compression algorithm or library (such as zlib or gzip) to compress data before transmission and to decompress data after transmission.
  • a device that is part of a power flow management system may collect data from its sensors and internal processes. For the bits of data that are not time critical to the system, the device can cache the data until the ratio of data to overhead is less than 5%. In the case of TCP/IP, this means waiting until the device had gathered 1280 bytes of data before sending.
  • Action and Schedule Pre-distribution For complicated or long sequences of actions, these actions can be pre-distributed to the devices (or distributed one time over the network). When any of the pre-distributed actions need to be communicated, an identifier for the more complicated sequence is all that needs to be communicated. For dispatching actions or sets of actions, pre-compute large sets of actions can be directed using an action identifier. As such, the action sets are coded and only the code is transmitted. While this method consumes memory on the client and server, bandwidth consumption is reduced.
  • a power flow management system can define a set of compact messages that represent a pre-defined set of functionality. For example, consider a device that runs just 4 distinct schedules during its normal behavior. Rather than send the schedule that the device should run each time the behavior should begin, the power flow management system can send the device each schedule just once. Subsequent times that each of those four schedules need to run, the power flow management system can indicate which of the four schedules to run (by name or ID), and a substantial amount of bandwidth can be saved.
  • Another technique for minimizing bytes between the system and the distributed resources includes dispatching resources in a way that minimizes the total state change on a per-resource basis within the system. In one example, as few resources as possible communicate in order to effect the desired change within the system.
  • the power flow management system needs to change the state of the distributed devices (e.g. now there is a need for 15 MW of power flow in some part of the grid, where the earlier needs was for only 13 MW)
  • it can choose to achieve the targeted power flow by looking for the minimum number of changes in the system (e.g. a device that was off needs to be on or vice versa) that satisfies the constraint.
  • techniques use a single bit to toggle from one state to another, such as from off to on and from on to off.
  • One measure of the quality of a particular set of device change orders is how many of the resources need to be contacted to enact the change.
  • One algorithm for achieving the minimum change set to achieve the system-wide power flow goal is to find resource for which a power flow change in the required direction is possible, and to then sort the devices by the amount of power flow they control. Starting with the device that controls the most power, work down the list of available devices until enough power has been recruited to achieve the goal of the power flow system.
  • Devices should communicate all status changes. This technique does not use application level pings. In the case of any change in device status (e.g. power level change, fuel level change by some interesting quantity, resource arrived/departed where resource may be a vehicles), communicating all such status changes eliminates the need for the power flow management system to use application level pings (i.e. messages from the power flow management system, which has the purpose of asking the device “Are you there?”).
  • application level pings i.e. messages from the power flow management system, which has the purpose of asking the device “Are you there?”
  • the implemented technique provides that resources communicate their departure from the system. This enables the removal of all application level pings from the system. This also requires that the resources have the ability to maintain power for enough time after being disconnected that they can communicate. When there is a local communications controller, the controller can indicate the disappearance of a resource to the system.
  • Configurable limits on interesting behavior Another bandwidth minimization technique involves increasing the tolerance limits for state changes that require notification of the main system. Relevant information should be communicated to the power flow management system in real time.
  • the devices should support the ability to increase and decrease the limits of interesting behavior to make the network traffic consumption be tailor-able against responsiveness (e.g. knowing each time the power flow changes by 3% is more informative than if it changes by 10% but requires network bandwidth to communicate).
  • Non-time-critical information should be bundled. Techniques may minimize message overhead by saving data that is not time-sensitive for same-message transmission with data that is time sensitive, thereby saving the messaging overhead and enabling data compression on a larger message. For information that is not time critical to the operation of the power flow information system (diagnostic data, logged data, summary statistics, etc), the devices should gather this information in memory and only transmit it to the power flow management system when a sufficient amount of information is collected such that the portion of the message dedicated to overhead is small.
  • devices may communicate all interesting changes to the power flow management system and the limits defining interesting behavior for the device may be configurable.
  • a power flow system that is fully informed and frequently updated about the behavior of the endpoints that are connected to it defines one endpoint on a continuum of control and flexibility.
  • On the other end of the spectrum is a power flow management system that has little or no visibility into the behavior and status of the devices connected to it.
  • the system can establish criteria for devices that triggers an update action of status to the power flow management system. This way, only when something changes in the status of the device does communication need to be made. Such a scheme does not waste network traffic having devices inform the power flow management system that things are unchanged from the last communication.
  • a battery charging device that is connected to a battery and participates in the network of the power flow management system. Once the device has connected to the power flow management system and reported its power flow (e.g. 800 W), there is no need for the device to report new information to the power flow management system unless there is a change in status. For example, if a device is reporting the amount of power flowing into a battery that is being charged and the battery fills up and does not require further charging.
  • the power flow management system e.g. 800 W
  • FIG. 10 illustrates an embodiment of a bandwidth minimization technique.
  • a power flow management system which manages electric devices and electric power supplies 1010 , communicates device information 1020 and power flow information 1030 .
  • Bandwidth reduction techniques described above are applied to reduce network traffic 1040 .
  • a protocol translation device may be provided that fully participates in two or more networks using physical signaling mechanisms that are capable of communication with each network. Messages are reformulated messages such that the messages can pass from one network to another. Since two relevant protocols may not be compatible, such a device passes high-level information as opposed to binary packets. This method is distinct from the method used by Internet routers that simply forward messages from one network to another without modification.
  • a Power Line Communicator such as a power line carrier, is a signaling mechanism by which a high-frequency signal is added to the AC power line in a home or business.
  • the high-frequency signal carries information in a variety of protocols to other devices that are able to decode these high frequency signals.
  • the protocol translation device may include the following: a microprocessor and power supply; physical transceivers for each supported communications protocol stack; a software stack capable of decoding messages from each of the communications protocols; and, a software/hardware layer that can translate, if necessary, and re-encode messages from one communications protocol to another communications protocol. Because modern home networking technologies can be wireless or PLC based, the protocol translation device need not be located near any device that it provides translation services for. The protocol translation device can be attached to any outlet in the home, such as wall outlet 204 illustrated in FIG. 2A . The protocol translation device can stand alone or co-reside with a device on the network.
  • a device acts as an information bridge between two networks.
  • An electric vehicle service equipment (EVSE), or a charge point may communicate with an electric vehicle via the SAEJ2836 application protocol over a HomePlug AV physical communication mechanism and with a home area network (HAN) using smart energy application protocol over a ZigBee wireless physical communication mechanism.
  • EVSE electric vehicle service equipment
  • HAN home area network
  • Such an EVSE or charge point can implement the message translation between the two networks.
  • the EVSE can reformulate the message that comes in from the ZigBee/Smart Energy network to the format of the J2836/PLC network and transmit the message from the HAN to the vehicle.
  • the device is a member of two different networks and the device passes messages back and forth between the two networks.
  • the networks have some incompatibility, such as a physical layer or application layer.
  • Smart energy is an application layer protocol that is implemented for multiple physical interfaces including ZigBee and HomePlug PLC.
  • the device can be located such that it is able to participate in both networks simultaneously.
  • the device may contain the physical equipment to be able to send/receive messages on either network, such as ZigBee for wireless and HomePlug PLC for wired. As a message is observed on either network, the device translates the message to the other network's physical layer.
  • both networks implement smart energy, there is no need to translate the application layer as well.
  • an electric vehicle service equipment can act as such a translation device.
  • a vehicle has the ability to communicate via one protocol, and an EVSE is located where access to the central charge management server is provided by a different protocol, the EVSE could act as a translator between the two protocols.
  • Such an EVSE includes complete implementations of both the hardware and software necessary to support both protocols to fully decode each protocol to obtain the application level messages.
  • An EVSE can be connected to a vehicle using the SAE2836 protocol over PLC and can be connected to a home network using a wireless ZigBee protocol, according to one embodiment.
  • the EVSE can include complete implementations of each hardware and protocol stack. As such, the EVSE can forward messages between the two stacks.
  • the translation device could be physically distinct.
  • the translation device in an installation with a PLC based vehicle and a wireless internet access point, the translation device can be a self-contained box plugged into a power outlet.
  • FIG. 11 illustrates an embodiment of a protocol translation for a power flow management system that utilizes networks to communicate between electric devices and electric power supplies 1110 .
  • a communications protocol translation device reformulates messages from one protocol to another protocol 1120 in order to transmit such messages from a network using one communications protocol to a network using a different protocol.
  • FIG. 12 shows a communications protocol translation device 1210 implemented between two networks 1220 that are connected to electric power supplies and electric devices 1230 .

Abstract

A system and method that minimizes network traffic consumption in a power flow management system is described. A minimization system may include a network to communicate device information and power flow information between the power flow management system and the devices. The power flow management system reduces consumption of the traffic traversing the network via a network traffic consumption reduction technique. In addition, this application discloses a system and method for communications protocol translation in a power flow management system that includes networks which connect electric devices and electric power supplies. One network utilizes a communications protocol that is different from the communications protocol utilized by another network. A communications protocol translation device communicates with the networks, and formulates messages from one communications protocol to the other communications protocol. The reformulated messages pass from one network to another network.

Description

  • This non-provisional patent application claims priority to, and incorporates herein by reference, U.S. Provisional Patent Application No. 61/165,344 filed on Mar. 31, 2009. This application also incorporates herein by reference the following: U.S. patent application Ser. No. 12/252,657 filed Oct. 16, 2008; U.S. patent application Ser. No. 12/252,209 filed Oct. 15, 2008; U.S. patent application Ser. No. 12/252,803 filed Oct. 16, 2008; and U.S. patent application Ser. No. 12/252,950 filed Oct. 16, 2008.
  • This application includes material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent disclosure, as it appears in the Patent and Trademark Office files or records, but otherwise reserves all copyright rights whatsoever.
  • FIELD OF THE INVENTION
  • The present invention relates in general to the field of electric vehicles, and in particular to novel systems and methods for system communication and interaction between electric vehicles and the electrical grid.
  • BACKGROUND OF THE INVENTION
  • Low-level electrical and communication interfaces to enable charging and discharging of electric vehicles with respect to the grid is described in U.S. Pat. No. 5,642,270 to Green et al., entitled, “Battery powered electric vehicle and electrical supply system,” incorporated herein by reference. The Green reference describes a bi-directional charging and communication system for grid-connected electric vehicles.
  • Modern vehicles contain a variety of subsystems that may benefit from communications with various off-vehicle entities. As the smart energy marketplace evolves, multiple application-level protocols may further develop for the control of power flow for electric vehicles and within the home. For example, energy management protocols are being developed for both Zigbee and Homeplug. A vehicle manufacturer may need to support multiple physical communications mediums. For example, ZigBee is used in some installations while PLC is used in others. Considering the very long service life of items such as utility meters and automobiles, the use of multiple incompatible protocols may pose an barrier to deployment. For example, if a homeowner buys a car that utilizes one protocol and receives a utility meter that uses another protocol, it is unlikely that either device will quickly replace other device.
  • Significant opportunities for improvement exist with respect to communications between power grids and electric vehicles. What is needed are systems and methods that provide for the complexity of translating information among various protocols. In addition to cost of translating messages, there is a cost associated with transmitting messages across networks. As such, there is also a need for novel communication techniques that provide for bandwidth minimization.
  • SUMMARY OF THE INVENTION
  • In one embodiment, a system for minimizing network traffic consumption in a power flow management system includes devices operable to generate, consume, or store electric energy, and a power flow management system, which manages power flow transferred between the plurality of devices and a power grid. This minimization system also includes a network to communicate device information and power flow information between the power flow management system and the devices. The device information is received by the power flow management system. The power flow information is transmitted by the power flow management system, and includes an energy rate command received by a devices. The power flow management system reduces consumption of the traffic traversing the network via a network traffic consumption reduction technique.
  • In one embodiment of a system for communications protocol translation in a power flow management system, the system includes networks that connect electric devices and electric power supplies. One network utilizes a communications protocol that is different from the communications protocol utilized by another network. A communications protocol translation device communicates with the networks, and formulates messages from one communications protocol to the other communications protocol. The reformulated messages pass from one network to another network.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • The foregoing and other objects, features, and advantages of the invention will be apparent from the following more particular description of embodiments as illustrated in the accompanying drawings, in which reference characters refer to the same parts throughout the various views. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating principles of the invention.
  • FIG. 1 is a diagram of an example of a power aggregation system.
  • FIGS. 2A-2B are diagrams of an example of connections between an electric vehicle, the power grid, and the Internet.
  • FIG. 3 is a block diagram of an example of connections between an electric resource and a flow control server of the power aggregation system.
  • FIG. 4 is a diagram of an example of a layout of the power aggregation system.
  • FIG. 5 is a diagram of an example of control areas in the power aggregation system.
  • FIG. 6 is a diagram of multiple flow control centers in the power aggregation system and a directory server for determining a flow control center.
  • FIG. 7 is a block diagram of an example of flow control server.
  • FIG. 8A is a block diagram of an example of remote intelligent power flow module.
  • FIG. 8B is a block diagram of an example of transceiver and charging component combination.
  • FIG. 8C is an illustration of an example of simple user interface for facilitating user controlled charging.
  • FIG. 9 is a diagram of an example of resource communication protocol.
  • FIG. 10 is a flow chart of an example of a bandwidth minimization technique.
  • FIG. 11 is a flow chart of an example of a protocol translation system.
  • FIG. 12 is a block diagram of an example of a communications protocol translation device.
  • DETAILED DESCRIPTION OF THE EMBODIMENTS
  • Reference will now be made in detail to the embodiments of the present invention, examples of which are illustrated in the accompanying drawings.
  • Overview
  • Described herein is a power aggregation system for distributed electric resources, and associated methods. In one implementation, a system communicates over the Internet and/or some other public or private networks with numerous individual electric resources connected to a power grid (hereinafter, “grid”). By communicating, the system can dynamically aggregate these electric resources to provide power services to grid operators (e.g. utilities, Independent System Operators (ISO), etc).
  • “Power services” as used herein, refers to energy delivery as well as other ancillary services including demand response, regulation, spinning reserves, non-spinning reserves, energy imbalance, reactive power, and similar products.
  • “Aggregation” as used herein refers to the ability to control power flows into and out of a set of spatially distributed electric resources with the purpose of providing a power service of larger magnitude.
  • “Charge Control Management” as used herein refers to enabling or performing the starting, stopping, or level-setting of a flow of power between a power grid and an electric resource.
  • “Power grid operator” as used herein, refers to the entity that is responsible for maintaining the operation and stability of the power grid within or across an electric control area. The power grid operator may constitute some combination of manual/human action/intervention and automated processes controlling generation signals in response to system sensors. A “control area operator” is one example of a power grid operator.
  • “Control area” as used herein, refers to a contained portion of the electrical grid with defined input and output ports. The net flow of power into this area must equal (within some error tolerance) the sum of the power consumption within the area and power outflow from the area.
  • “Power grid” as used herein means a power distribution system/network that connects producers of power with consumers of power. The network may include generators, transformers, interconnects, switching stations, and safety equipment as part of either/both the transmission system (i.e., bulk power) or the distribution system (i.e. retail power). The power aggregation system is vertically scalable for use within a neighborhood, a city, a sector, a control area, or (for example) one of the eight large-scale Interconnects in the North American Electric Reliability Council (NERC). Moreover, the system is horizontally scalable for use in providing power services to multiple grid areas simultaneously.
  • “Grid conditions” as used herein, refers to the need for more or less power flowing in or out of a section of the electric power grid, in response to one of a number of conditions, for example supply changes, demand changes, contingencies and failures, ramping events, etc. These grid conditions typically manifest themselves as power quality events such as under- or over-voltage events or under- or over-frequency events.
  • “Power quality events” as used herein typically refers to manifestations of power grid instability including voltage deviations and frequency deviations; additionally, power quality events as used herein also includes other disturbances in the quality of the power delivered by the power grid such as sub-cycle voltage spikes and harmonics.
  • “Electric resource” as used herein typically refers to electrical entities that can be commanded to do some or all of these three things: take power (act as load), provide power (act as power generation or source), and store energy. Examples may include battery/charger/inverter systems for electric or hybrid-electric vehicles, repositories of used-but-serviceable electric vehicle batteries, fixed energy storage, fuel cell generators, emergency generators, controllable loads, etc.
  • “Electric vehicle” is used broadly herein to refer to pure electric and hybrid electric vehicles, such as plug-in hybrid electric vehicles (PHEVs), especially vehicles that have significant storage battery capacity and that connect to the power grid for recharging the battery. More specifically, electric vehicle means a vehicle that gets some or all of its energy for motion and other purposes from the power grid. Moreover, an electric vehicle has an energy storage system, which may consist of batteries, capacitors, etc., or some combination thereof. An electric vehicle may or may not have the capability to provide power back to the electric grid.
  • Electric vehicle “energy storage systems” (batteries, super capacitors, and/or other energy storage devices) are used herein as a representative example of electric resources intermittently or permanently connected to the grid that can have dynamic input and output of power. Such batteries can function as a power source or a power load. A collection of aggregated electric vehicle batteries can become a statistically stable resource across numerous batteries, despite recognizable tidal connection trends (e.g., an increase in the total number of vehicles connected to the grid at night; a downswing in the collective number of connected batteries as the morning commute begins, etc.) Across vast numbers of electric vehicle batteries, connection trends are predictable and such batteries become a stable and reliable resource to call upon, should the grid or a part of the grid (such as a person's home in a blackout) experience a need for increased or decreased power. Data collection and storage also enable the power aggregation system to predict connection behavior on a per-user basis.
  • An Example of the Presently Disclosed System
  • FIG. 1 shows a power aggregation system 100. A flow control center 102 is communicatively coupled with a network, such as a public/private mix that includes the Internet 104, and includes one or more servers 106 providing a centralized power aggregation service. “Internet” 104 will be used herein as representative of many different types of communicative networks and network mixtures (e.g., one or more wide area networks—public or private—and/or one or more local area networks). Via a network, such as the Internet 104, the flow control center 102 maintains communication 108 with operators of power grid(s), and communication 110 with remote resources, i.e., communication with peripheral electric resources 112 (“end” or “terminal” nodes/devices of a power network) that are connected to the power grid 114. In one implementation, power line communicators (PLCs), such as those that include or consist of Ethernet-over-power line bridges 120 are implemented at connection locations so that the “last mile” (in this case, last feet—e.g., in a residence 124) of Internet communication with remote resources is implemented over the same wire that connects each electric resource 112 to the power grid 114. Thus, each physical location of each electric resource 112 may be associated with a corresponding Ethernet-over-power line bridge 120 (hereinafter, “bridge”) at or near the same location as the electric resource 112. Each bridge 120 is typically connected to an Internet access point of a location owner, as will be described in greater detail below. The communication medium from flow control center 102 to the connection location, such as residence 124, can take many forms, such as cable modem, DSL, satellite, fiber, WiMax, etc. In a variation, electric resources 112 may connect with the Internet by a different medium than the same power wire that connects them to the power grid 114. For example, a given electric resource 112 may have its own wireless capability to connect directly with the Internet 104 or an Internet access point and thereby with the flow control center 102.
  • Electric resources 112 of the power aggregation system 100 may include the batteries of electric vehicles connected to the power grid 114 at residences 124, parking lots 126 etc.; batteries in a repository 128, fuel cell generators, private dams, conventional power plants, and other resources that produce electricity and/or store electricity physically or electrically.
  • In one implementation, each participating electric resource 112 or group of local resources has a corresponding remote intelligent power flow (IPF) module 134 (hereinafter, “remote IPF module” 134). The centralized flow control center 102 administers the power aggregation system 100 by communicating with the remote IPF modules 134 distributed peripherally among the electric resources 112. The remote IPF modules 134 perform several different functions, including, but not limited to, providing the flow control center 102 with the statuses of remote resources; controlling the amount, direction, and timing of power being transferred into or out of a remote electric resource 112; providing metering of power being transferred into or out of a remote electric resource 112; providing safety measures during power transfer and changes of conditions in the power grid 114; logging activities; and providing self-contained control of power transfer and safety measures when communication with the flow control center 102 is interrupted. The remote IPF modules 134 will be described in greater detail below.
  • In another implementation, instead of having an IPF module 134, each electric resource 112 may have a corresponding transceiver (not shown) to communicate with a local charging component (not shown). The transceiver and charging component, in combination, may communicate with flow control center 102 to perform some or all of the above mentioned functions of IPF module 134. A transceiver and charging component are shown in FIG. 2B and are described in greater detail herein.
  • FIG. 2A shows another view of electrical and communicative connections to an electric resource 112. In this example, an electric vehicle 200 includes a battery bank 202 and a remote IPF module 134. The electric vehicle 200 may connect to a conventional wall receptacle (wall outlet) 204 of a residence 124, the wall receptacle 204 representing the peripheral edge of the power grid 114 connected via a residential powerline 206.
  • In one implementation, the power cord 208 between the electric vehicle 200 and the wall outlet 204 can be composed of only conventional wire and insulation for conducting alternating current (AC) power to and from the electric vehicle 200. In FIG. 2A, a location-specific connection locality module 210 performs the function of network access point—in this case, the Internet access point. A bridge 120 intervenes between the receptacle 204 and the network access point so that the power cord 208 can also carry network communications between the electric vehicle 200 and the receptacle 204. With such a bridge 120 and connection locality module 210 in place in a connection location, no other special wiring or physical medium is needed to communicate with the remote IPF module 134 of the electric vehicle 200 other than a conventional power cord 208 for providing residential line current at any conventional voltage. Upstream of the connection locality module 210, power and communication with the electric vehicle 200 are resolved into the powerline 206 and an Internet cable 104.
  • Alternatively, the power cord 208 may include safety features not found in conventional power and extension cords. For example, an electrical plug 212 of the power cord 208 may include electrical and/or mechanical safeguard components to prevent the remote IPF module 134 from electrifying or exposing the male conductors of the power cord 208 when the conductors are exposed to a human user.
  • In some embodiments, a radio frequency (RF) bridge (not shown) may assist the remote IPF module 134 in communicating with a foreign system, such as a utility smart meter (not shown) and/or a connection locality module 210. For example, the remote IPF module 134 may be equipped to communicate over power cord 208 or to engage in some form of RF communication, such as Zigbee or Bluetooth™, and the foreign system may be able to engage in a different form of RF communication. In such an implementation, the RF bridge may be equipped to communicate with both the foreign system and remote IPF module 134 and to translate communications from one to a form the other may understand, and to relay those messages. In various embodiments, the RF bridge may be integrated into the remote IPF module 134 or foreign system, or may be external to both. The communicative associations between the RF bridge and remote IPF module 134 and between the RF bridge and foreign system may be via wired or wireless communication.
  • FIG. 2B shows a further view of electrical and communicative connections to an electric resource 112. In this example, the electric vehicle 200 may include a transceiver 212 rather than a remote IPF module 134. The transceiver 212 may be communicatively coupled to a charging component 214 through a connection 216, and the charging component itself may be coupled to a conventional wall receptacle (wall outlet) 204 of a residence 124 and to electric vehicle 200 through a power cord 208. The other components shown in FIG. 2B may have the couplings and functions discussed with regard to FIG. 2A.
  • In various embodiments, transceiver 212 and charging component 214 may, in combination, perform the same functions as the remote IPF module 134. Transceiver 212 may interface with computer systems of electric vehicle 200 and communicate with charging component 214, providing charging component 214 with information about electric vehicle 200, such as its vehicle identifier, a location identifier, and a state of charge. In response, transceiver 212 may receive requests and commands which transceiver 212 may relay to vehicle 200′s computer systems.
  • Charging component 214, being coupled to both electric vehicle 200 and wall outlet 204, may effectuate charge control of the electric vehicle 200. If the electric vehicle 200 is not capable of charge control management, charging component 214 may directly manage the charging of electric vehicle 200 by stopping and starting a flow of power between the electric vehicle 200 and a power grid 114 in response to commands received from a flow control server 106. If, on the other hand, the electric vehicle 200 is capable of charge control management, charging component 214 may effectuate charge control by sending commands to the electric vehicle 200 through the transceiver 212.
  • In some embodiments, the transceiver 212 may be physically coupled to the electric vehicle 200 through a data port, such as an OBD-II connector. In other embodiments, other couplings may be used. The connection 216 between transceiver 212 and charging component 214 may be a wireless signal, such as a radio frequency (RF), such as a Zigbee, or Bluetooth™ signal. And charging component 214 may include a receiver socket to couple with power cord 208 and a plug to couple with wall outlet 204. In one embodiment, charging component 214 may be coupled to connection locality module 210 in either a wired or wireless fashion. For example, charging component 214 may have a data interface for communicating wirelessly with both the transceiver 212 and locality module 210. In such an embodiment, the bridge 120 may not be required.
  • Further details about the transceiver 212 and charging component 214 are illustrated by FIG. 8B and described in greater detail herein.
  • FIG. 3 shows another implementation of the connection locality module 210 of FIG. 2, in greater detail. In FIG. 3, an electric resource 112 has an associated remote IPF module 134, including a bridge 120. The power cord 208 connects the electric resource 112 to the power grid 114 and also to the connection locality module 210 in order to communicate with the flow control server 106.
  • The connection locality module 210 includes another instance of a bridge 120, connected to a network access point 302, which may include such components as a router, switch, and/or modem, to establish a hardwired or wireless connection with, in this case, the Internet 104. In one implementation, the power cord 208 between the two bridges 120 and 120′ is replaced by a wireless Internet link, such as a wireless transceiver in the remote IPF module 134 and a wireless router in the connection locality module 210.
  • In other embodiments, a transceiver 212 and charging component 214 may be used instead of a remote IPF module 134. In such an embodiment, the charging component 214 may include or be coupled to a bridge 120, and the connection locality module 210 may also include a bridge 120′, as shown. In yet other embodiments, not shown, charging component 214 and connection locality module 210 may communicate in a wired or wireless fashion, as mentioned previously, without bridges 120 and 120′. The wired or wireless communication may utilize any sort of connection technology known in the art, such as Ethernet or RF communication, such as Zigbee, or Bluetooth.
  • System Layouts
  • FIG. 4 shows a layout 400 of the power aggregation system 100. The flow control center 102 can be connected to many different entities, e.g., via the Internet 104, for communicating and receiving information. The layout 400 includes electric resources 112, such as plug-in electric vehicles 200, physically connected to the grid within a single control area 402. The electric resources 112 become an energy resource for grid operators 404 to utilize.
  • The layout 400 also includes end users 406 classified into electric resource owners 408 and electrical connection location owners 410, who may or may not be one and the same. In fact, the stakeholders in a power aggregation system 100 include the system operator at the flow control center 102, the grid operator 404, the resource owner 408, and the owner of the location 410 at which the electric resource 112 is connected to the power grid 114.
  • Electrical connection location owners 410 can include:
  • Rental car lots—rental car companies often have a large portion of their fleet parked in the lot. They can purchase fleets of electric vehicles 200 and, participating in a power aggregation system 100, generate revenue from idle fleet vehicles.
  • Public parking lots—parking lot owners can participate in the power aggregation system 100 to generate revenue from parked electric vehicles 200. Vehicle owners can be offered free parking, or additional incentives, in exchange for providing power services.
  • Workplace parking—employers can participate in a power aggregation system 100 to generate revenue from parked employee electric vehicles 200. Employees can be offered incentives in exchange for providing power services.
  • Residences—a home garage can merely be equipped with a connection locality module 210 to enable the homeowner to participate in the power aggregation system 100 and generate revenue from a parked car. Also, the vehicle battery 202 and associated power electronics within the vehicle can provide local power backup power during times of peak load or power outages.
  • Residential neighborhoods—neighborhoods can participate in a power aggregation system 100 and be equipped with power-delivery devices (deployed, for example, by homeowner cooperative groups) that generate revenue from parked electric vehicles 200.
  • The grid operations 116 of FIG. 4 collectively include interactions with energy markets 412, the interactions of grid operators 404, and the interactions of automated grid controllers 118 that perform automatic physical control of the power grid 114.
  • The flow control center 102 may also be coupled with information sources 414 for input of weather reports, events, price feeds, etc. Other data sources 414 include the system stakeholders, public databases, and historical system data, which may be used to optimize system performance and to satisfy constraints on the power aggregation system 100.
  • Thus, a power aggregation system 100 may consist of components that:
  • communicate with the electric resources 112 to gather data and actuate charging/discharging of the electric resources 112;
  • gather real-time energy prices;
  • gather real-time resource statistics;
  • predict behavior of electric resources 112 (connectedness, location, state (such as battery State-Of-Charge) at a given time of interest, such as a time of connect/disconnect);
  • predict behavior of the power grid 114/load;
  • encrypt communications for privacy and data security;
  • actuate charging of electric vehicles 200 to optimize some figure(s) of merit;
  • offer guidelines or guarantees about load availability for various points in the future, etc.
  • These components can be running on a single computing resource (computer, etc.), or on a distributed set of resources (either physically co-located or not).
  • Power aggregation systems 100 in such a layout 400 can provide many benefits: for example, lower-cost ancillary services (i.e., power services), fine-grained (both temporal and spatial) control over resource scheduling, guaranteed reliability and service levels, increased service levels via intelligent resource scheduling, and/or firming of intermittent generation sources such as wind and solar power generation.
  • The power aggregation system 100 enables a grid operator 404 to control the aggregated electric resources 112 connected to the power grid 114. An electric resource 112 can act as a power source, load, or storage, and the resource 112 may exhibit combinations of these properties. Control of a set of electric resources 112 is the ability to actuate power consumption, generation, or energy storage from an aggregate of these electric resources 112.
  • FIG. 5 shows the role of multiple control areas 402 in the power aggregation system 100. Each electric resource 112 can be connected to the power aggregation system 100 within a specific electrical control area. A single instance of the flow control center 102 can administer electric resources 112 from multiple distinct control areas 501 (e.g., control areas 502, 504, and 506). In one implementation, this functionality is achieved by logically partitioning resources within the power aggregation system 100. For example, when the control areas 402 include an arbitrary number of control areas, control area “A” 502, control area “B” 504, . . . , control area “n” 506, then grid operations 116 can include corresponding control area operators 508, 510, . . . , and 512. Further division into a control hierarchy that includes control division groupings above and below the illustrated control areas 402 allows the power aggregation system 100 to scale to power grids 114 of different magnitudes and/or to varying numbers of electric resources 112 connected with a power grid 114.
  • FIG. 6 shows a layout 600 of a power aggregation system 100 that uses multiple centralized flow control centers 102 and 102′ and a directory server 602 for determining a flow control center. Each flow control center 102 and 102′ has its own respective end users 406 and 406′. Control areas 402 to be administered by each specific instance of a flow control center 102 can be assigned dynamically. For example, a first flow control center 102 may administer control area A 502 and control area B 504, while a second flow control center 102′ administers control area n 506. Likewise, corresponding control area operators (508, 510, and 512) are served by the same flow control center 102 that serves their respective different control areas.
  • In various embodiments, an electric resource may determine which flow control center 102/102′ administers its control area 502/504/506 by communicating with a directory server 602. The address of the directory server 602 may be known to electric resource 112 or its associated IPF module 134 or charging component 214. Upon plugging in, the electric resource 112 may communicate with the directory server 602, providing the directory server 112 with a resource identifier and/or a location identifier. Based on this information, the directory server 602 may respond, identifying which flow control center 102/102′ to use.
  • In another embodiment, directory server 602 may be integrated with a flow control server 106 of a flow control center 102/102′. In such an embodiment, the electric resource 112 may contact the server 106. In response, the server 106 may either interact with the electric resource 112 itself or forward the connection to another flow control center 102/102′ responsible for the location identifier provided by the electric resource 112.
  • In some embodiments, whether integrated with a flow control server 106 or not, directory server 602 may include a publicly accessible database for mapping locations to flow control centers 102/102′.
  • Flow Control Server
  • FIG. 7 shows a server 106 of the flow control center 102. The illustrated implementation in FIG. 7 is only one example configuration, for descriptive purposes. Many other arrangements of the illustrated components or even different components constituting a server 106 of the flow control center 102 are possible within the scope of the subject matter. Such a server 106 and flow control center 102 can be executed in hardware, software, or combinations of hardware, software, firmware, etc.
  • The flow control server 106 includes a connection manager 702 to communicate with electric resources 112, a prediction engine 704 that may include a learning engine 706 and a statistics engine 708, a constraint optimizer 710, and a grid interaction manager 712 to receive grid control signals 714. Grid control signals 714 are sometimes referred to as generation control signals, such as automated generation control (AGC) signals. The flow control server 106 may further include a database/information warehouse 716, a web server 718 to present a user interface to electric resource owners 408, grid operators 404, and electrical connection location owners 410; a contract manager 720 to negotiate contract terms with energy markets 412, and an information acquisition engine 414 to track weather, relevant news events, etc., and download information from public and private databases 722 for predicting behavior of large groups of the electric resources 112, monitoring energy prices, negotiating contracts, etc.
  • Remote IPF Module
  • FIG. 8A shows the remote IPF module 134 of FIGS. 1 and 2 in greater detail. The illustrated remote IPF module 134 is only one example configuration, for descriptive purposes. Many other arrangements of the illustrated components or even different components constituting a remote IPF module 134 are possible within the scope of the subject matter. Such a remote IPF module 134 has some hardware components and some components that can be executed in hardware, software, or combinations of hardware, software, firmware, etc. In other embodiments, executable instructions configured to perform some or all of the operations of remote IPF module 134 may be added to hardware of an electric resource 112 such as an electric vehicle that, when combined with the executable instructions, provides equivalent functionality to remote IPF module 134. References to remote IPF module 134 as used herein include such executable instructions.
  • The illustrated example of a remote IPF module 134 is represented by an implementation suited for an electric vehicle 200. Thus, some vehicle systems 800 are included as part of the remote IPF module 134 for the sake of description. However, in other implementations, the remote IPF module 134 may exclude some or all of the vehicles systems 800 from being counted as components of the remote IPF module 134.
  • The depicted vehicle systems 800 include a vehicle computer and data interface 802, an energy storage system, such as a battery bank 202, and an inverter/charger 804. Besides vehicle systems 800, the remote IPF module 134 also includes a communicative power flow controller 806. The communicative power flow controller 806 in turn includes some components that interface with AC power from the grid 114, such as a powerline communicator, for example an Ethernet-over-powerline bridge 120, and a current or current/voltage (power) sensor 808, such as a current sensing transformer.
  • The communicative power flow controller 806 also includes Ethernet and information processing components, such as a processor 810 or microcontroller and an associated Ethernet media access control (MAC) address 812; volatile random access memory 814, nonvolatile memory 816 or data storage, an interface such as an RS-232 interface 818 or a CAN-bus interface 820; an Ethernet physical layer interface 822, which enables wiring and signaling according to Ethernet standards for the physical layer through means of network access at the MAC/Data Link Layer and a common addressing format. The Ethernet physical layer interface 822 provides electrical, mechanical, and procedural interface to the transmission medium—i.e., in one implementation, using the Ethernet-over-powerline bridge 120. In a variation, wireless or other communication channels with the Internet 104 are used in place of the Ethernet-over-powerline bridge 120.
  • The communicative power flow controller 806 also includes a bidirectional power flow meter 824 that tracks power transfer to and from each electric resource 112, in this case the battery bank 202 of an electric vehicle 200.
  • The communicative power flow controller 806 operates either within, or connected to an electric vehicle 200 or other electric resource 112 to enable the aggregation of electric resources 112 introduced above (e.g., via a wired or wireless communication interface). These above-listed components may vary among different implementations of the communicative power flow controller 806, but implementations typically include:
  • an intra-vehicle communications mechanism that enables communication with other vehicle components;
  • a mechanism to communicate with the flow control center 102;
  • a processing element;
  • a data storage element;
  • a power meter; and
  • optionally, a user interface.
  • Implementations of the communicative power flow controller 806 can enable functionality including:
  • executing pre-programmed or learned behaviors when the electric resource 112 is offline (not connected to Internet 104, or service is unavailable);
  • storing locally-cached behavior profiles for “roaming” connectivity (what to do when charging on a foreign system, i.e., when charging in the same utility territory on a foreign meter or in a separate utility territory, or in disconnected operation, i.e., when there is no network connectivity);
  • allowing the user to override current system behavior; and
  • metering power-flow information and caching meter data during offline operation for later transaction.
  • Thus, the communicative power flow controller 806 includes a central processor 810, interfaces 818 and 820 for communication within the electric vehicle 200, a powerline communicator, such as an Ethernet-over-powerline bridge 120 for communication external to the electric vehicle 200, and a power flow meter 824 for measuring energy flow to and from the electric vehicle 200 via a connected AC powerline 208.
  • Power Flow Meter
  • Power is the rate of energy consumption per interval of time. Power indicates the quantity of energy transferred during a certain period of time, thus the units of power are quantities of energy per unit of time. The power flow meter 824 measures power for a given electric resource 112 across a bidirectional flow—e.g., power from grid 114 to electric vehicle 200 or from electric vehicle 200 to the grid 114. In one implementation, the remote IPF module 134 can locally cache readings from the power flow meter 824 to ensure accurate transactions with the central flow control server 106, even if the connection to the server is down temporarily, or if the server itself is unavailable.
  • Transceiver and Charging Component
  • FIG. 8B shows the transceiver 212 and charging component 214 of FIG. 2B in greater detail. The illustrated transceiver 212 and charging component 214 is only one example configuration, for descriptive purposes. Many other arrangements of the illustrated components or even different components constituting the transceiver 212 and charging component 214 are possible within the scope of the subject matter. Such a transceiver 212 and charging component 214 have some hardware components and some components that can be executed in hardware, software, or combinations of hardware, software, firmware, etc.
  • The illustrated example of the transceiver 212 and charging component 214 is represented by an implementation suited for an electric vehicle 200. Thus, some vehicle systems 800 are illustrated to provide context to the transceiver 212 and charging component 214 components.
  • The depicted vehicle systems 800 include a vehicle computer and data interface 802, an energy storage system, such as a battery bank 202, and an inverter/charger 804. In some embodiments, vehicle systems 800 may include a data port, such as an OBD-II port, that is capable of physically coupling with the transceiver 212. The transceiver 212 may then communicate with the vehicle computer and data interface 802 through the data port, receiving information from electric resource 112 comprised by vehicle systems 800 and, in some embodiments, providing commands to the vehicle computer and data interface 802. In one implementation, the vehicle computer and data interface 802 may be capable of charge control management. In such an embodiment, the vehicle computer and data interface 802 may perform some or all of the charging component 214 operations discussed below. In other embodiments, executable instructions configured to perform some or all of the operations of the vehicle computer and data interface 802 may be added to hardware of an electric resource 112 such as an electric vehicle that, when combined with the executable instructions, provides equivalent functionality to the vehicle computer and data interface 802. References to the vehicle computer and data interface 802 as used herein include such executable instructions.
  • In various embodiments, the transceiver 212 may have a physical form that is capable of coupling to a data port of vehicle systems 800. Such a transceiver 212 may also include a plurality of interfaces, such as an RS-232 interface 818 and/or a CAN-bus interface 820. In various embodiments, the RS-232 interface 818 or CAN-bus interface 820 may enable the transceiver 212 to communicate with the vehicle computer and data interface 802 through the data port. Also, the transceiver may be or comprise an additional interface (not shown) capable of engaging in wireless communication with a data interface 820 of the charging component 214. The wireless communication may be of any form known in the art, such as radio frequency (RF) communication (e.g., Zigbee, and/or Bluetooth™ communication). In other embodiments, the transceiver may comprise a separate conductor or may be configured to utilize a powerline 208 to communicate with charging component 214. In yet other embodiments, not shown, transceiver 212 may simply be a radio frequency identification (RFID) tag capable of storing minimal information about the electric resource 112, such as a resource identifier, and of being read by a corresponding RFID reader of charging component 214. In such other embodiments, the RFID tag may not couple with a data port or communicate with the vehicle computer and data interface 802.
  • As shown, the charging component 214 may be an intelligent plug device that is physically connected to a charging medium, such as a powerline 208 (the charging medium coupling the charging component 214 to the electric resource 112) and an outlet of a power grid (such as the wall outlet 204 shown in FIG. 2B). In other embodiments charging component 214 may be a charging station or some other external control. In some embodiments, the charging component 214 may be portable.
  • In various embodiments, the charging component 214 may include components that interface with AC power from the grid 114, such as a powerline communicator, for example an Ethernet-over-powerline bridge 120, and a current or current/voltage (power) sensor 808, such as a current sensing transformer.
  • In other embodiments, the charging component 214 may include a further Ethernet plug or wireless interface in place of bridge 120. In such an embodiment, data-over-powerline communication is not necessary, eliminating the need for a bridge 120. The Ethernet plug or wireless interface may communicate with a local access point, and through that access point to flow control server 106.
  • The charging component 214 may also include Ethernet and information processing components, such as a processor 810 or microcontroller and an associated Ethernet media access control (MAC) address 812; volatile random access memory 814, nonvolatile memory 816 or data storage, a data interface 826 for communicating with the transceiver 212, and an Ethernet physical layer interface 822, which enables wiring and signaling according to Ethernet standards for the physical layer through means of network access at the MAC/Data Link Layer and a common addressing format. The Ethernet physical layer interface 822 provides electrical, mechanical, and procedural interface to the transmission medium—i.e., in one implementation, using the Ethernet-over-powerline bridge 120. In a variation, wireless or other communication channels with the Internet 104 are used in place of the Ethernet-over-powerline bridge 120.
  • The charging component 214 may also include a bidirectional power flow meter 824 that tracks power transfer to and from each electric resource 112, in this case the battery bank 202 of an electric vehicle 200.
  • Further, in some embodiments, the charging component 214 may comprise an RFID reader to read the electric resource information from transceiver 212 when transceiver 212 is an RFID tag.
  • Also, in various embodiments, the charging component 214 may include a credit card reader to enable a user to identify the electric resource 112 by providing credit card information. In such an embodiment, a transceiver 212 may not be necessary.
  • Additionally, in one embodiment, the charging component 214 may include a user interface, such as one of the user interfaces described in greater detail below.
  • Implementations of the charging component 214 can enable functionality including:
  • executing pre-programmed or learned behaviors when the electric resource 112 is offline (not connected to Internet 104, or service is unavailable);
  • storing locally-cached behavior profiles for “roaming” connectivity (what to do when charging on a foreign system or in disconnected operation, i.e., when there is no network connectivity);
  • allowing the user to override current system behavior; and
  • metering power-flow information and caching meter data during offline operation for later transaction.
  • User Interfaces (UI)
  • Charging Station UI. An electrical charging station, whether free or for pay, can be installed with a user interface that presents useful information to the user. Specifically, by collecting information about the grid 114, the electric resource state, and the preferences of the user, the station can present information such as the current electricity price, the estimated recharge cost, the estimated time until recharge, the estimated payment for uploading power to the grid 114 (either total or per hour), etc. The information acquisition engine 414 communicates with the electric resource 112 and with public and/or private data networks 722 to acquire the data used in calculating this information.
  • The types of information gathered from the electric resource 112 can include an electric resource identifier (resource ID) and state information like the state of charge of the electric resource 112. The resource ID can be used to obtain knowledge of the electric resource type and capabilities, preferences, etc. through lookup with the flow control server 106.
  • In various embodiments, the charging station system including the UI may also gather grid-based information, such as current and future energy costs at the charging station.
  • User Charge Control UI Mechanisms. In various embodiments, by default, electric resources 112 may receive charge control management via power aggregation system 100. In some embodiments, an override control may be provided to override charge control management and charge as soon as possible. The override control may be provided, in various embodiments, as a user interface mechanism of the remote IPF module 134, the charging component 214, of the electric resource (for example, if electric resource is a vehicle 200, the user interface control may be integrated with dash controls of the vehicle 200) or even via a web page offered by flow control server 106. The control can be presented, for example, as a button, a touch screen option, a web page, or some other UI mechanism. In one embodiment, the UI may be the UI illustrated by FIG. 8C and discussed in greater detail below. In some embodiments, the override is a one-time override, only applying to a single plug-in session. Upon disconnecting and reconnecting, the user may again need to interact with the UI mechanism to override the charge control management.
  • In some embodiments, the user may pay more to charge with the override on than under charge control management, thus providing an incentive for the user to accept charge control management. Such a cost differential may be displayed or rendered to the user in conjunction with or on the UI mechanism. This differential can take into account time-varying pricing, such as Time of Use (TOU), Critical Peak Pricing (CPP), and Real-Time Pricing (RTP) schemes, as discussed above, as well as any other incentives, discounts, or payments that may be forgone by not accepting charge control management.
  • UI Mechanism for Management Preferences. In various embodiments, a user interface mechanism of the remote IPF module 134, the charging component 214, of the electric resource (for example, if electric resource is a vehicle 200, the user interface control may be integrated with dash controls of the vehicle 200) or even via a web page offered by flow control server 106 may enable a user to enter and/or edit management preferences to affect charge control management of the user's electric resource 112. In some embodiments, the UI mechanism may allow the user to enter/edit general preferences, such as whether charge control management is enabled, whether vehicle-to-grid power flow is enabled or whether the electric resource 112 should only be charged with clean/green power. Also, in various embodiments, the UI mechanism may enable a user to prioritize relative desires for minimizing costs, maximizing payments (i.e., fewer charge periods for higher amounts), achieving a full state-of-charge for the electric resource 112, charging as rapidly as possible, and/or charging in as environmentally-friendly a way as possible. Additionally, the UI mechanism may enable a user to provide a default schedule for when the electric resource will be used (for example, if resource 112 is a vehicle 200, the schedule is for when the vehicle 200 should be ready to drive). Further, the UI mechanism may enable the user to add or select special rules, such as a rule not to charge if a price threshold is exceeded or a rule to only use charge control management if it will earn the user at least a specified threshold of output. Charge control management may then be effectuated based on any part or all of these user entered preferences.
  • Simple User Interface. FIG. 8C illustrates a simple user interface (UI) which enables a user to control charging based on selecting among a limited number of high level preferences. For example, UI 2300 includes the categories “green”, “fast”, and “cheap” (with what is considered “green”, “fast”, and “cheap” varying from embodiment to embodiment). The categories shown in UI 2300 are selected only for the sake of illustration and may instead includes these and/or any other categories applicable to electric resource 112 charging known in the art. As shown, the UI 2300 may be very basic, using well known form controls such as radio buttons. In other embodiments, other graphic controls known in the art may be used. The general categories may be mapped to specific charging behaviors, such as those discussed above, by a flow control server 106.
  • Electric Resource Communication Protocol
  • FIG. 9 illustrates a resource communication protocol. As shown, a remote IPF module 134 or charging component 214 may be in communication with a flow control server 106 over the Internet 104 or another networking fabric or combination of networking fabrics. In various embodiments, a protocol specifying an order of messages and/or a format for messages may be used to govern the communications between the remote IPF module 134 or charging component 214 and flow control server 106.
  • In some embodiments, the protocol may include two channels, one for messages initiated by the remote IPF module 134 or charging component 214 and for replies to those messages from the flow control server 106, and another channel for messages initiated by the flow control server 106 and for replies to those messages from the remote IPF module 134 or charging component 214. The channels may be asynchronous with respect to each other (that is, initiation of messages on one channel may be entirely independent of initiation of messages on the other channel). However, each channel may itself be synchronous (that is, once a message is sent on a channel, another message may not be sent until a reply to the first message is received).
  • As shown, the remote IPF module 134 or charging component 214 may initiate communication 902 with the flow control server 106. In some embodiments, communication 902 may be initiated when, for example, an electric resource 112 first plugs in/connects to the power grid 114. In other embodiments, communication 902 may be initiated at another time or times. The initial message 902 governed by the protocol may require, for example, one or more of an electric resource identifier, such as a MAC address, a protocol version used, and/or a resource identifier type.
  • Upon receipt of the initial message by the flow control server 106, a connection may be established between the remote IPF module 134 or charging component 214 and flow control server 106. Upon establishing a connection, the remote IPF module 134 or charging component 214 may register with flow control server 106 through a subsequent communication 903. Communication 903 may include a location identifier scheme, a latitude, a longitude, a max power value that the remote IPF module 134 or charging component 214 can draw, a max power value that the remote IPF module 134 or charging component 214 can provide, a current power value, and/or a current state of charge.
  • After the initial message 902, the protocol may require or allow messages 904 from the flow control server 106 to the remote IPF module 134 or charging component 214 or messages 906 from remote IPF module 134 or charging component 214 to the flow control server 106. The messages 904 may include, for example, one or more of commands, messages, and/or updates. Such messages 904 may be provided at any time after the initial message 902. In one embodiment, messages 904 may include a command setting, a power level and/or a ping to determine whether the remote IPF module 134 or charging component 214 is still connected.
  • The messages 906 may include, for example, status updates to the information provided in the registration message 903. Such messages 906 may be provided at any time after the initial message 902. In one embodiment, the messages 906 may be provided on a pre-determined time interval basis. In various embodiments, messages 906 may even be sent when the remote IPF module 134 or charging component 214 is connected, but not registered. Such messages 906 may include data that is stored by flow control server 106 for later processing. Also, in some embodiments, messages 904 may be provided in response to a message 902 or 906.
  • Bandwidth Minimization Techniques
  • A distributed energy management system must be in constant communication with the distributed energy resources to maintain a high level of certainty that the system is behaving as reported. Sending messages between the energy management system and the distributed energy resources is expensive because each message has a cost associated with it. Minimizing the number of bytes sent between the system and the resources will minimize the communications cost of the system. Accordingly, the consumption of network bandwidth is reduced.
  • Bandwidth, as used herein, can refer to network bandwidth. Bandwidth is the number of bytes per second of data traffic that flows into or out of a device or control system. Devices managed by the power flow management system can be any load, generation, or storage asset. Storage assets can comprise batteries and bi-directional power electronics such as inverters and chargers. Load assets may include water heaters, plug-in electric or plug-in hybrid electric vehicles, water heaters, generation facilities, or other controllable load, storage, or generation asset.
  • The disclosed system and methods can provide for the minimization of network traffic consumption in a system that manages the power flows to and from devices connected to a power grid. This power flow management system communicates with the devices, and can be centralized or decentralized. Through this communication, information about power flows is communicated to devices and information about device behavior and status is communicated to the system.
  • The system communicates with the devices to instruct devices as to when and at what rate energy should be taken from and delivered to the grid. These commands enable the devices to consume or produce energy when doing so is deemed optimal by the power flow management system.
  • The instructions that are delivered to the devices by the power flow management system can take many forms. One form of instruction is a direct command to flow power immediately at the requested level. Another form of instruction is a schedule of power flow that should be followed by the device and can take many forms. A schedule can indicate a single point in time at which a power flow level should be activated. A schedule can indicate a sequence of power flow levels that should be activated at various times in the future. The schedule can be repeating on a dynamic or fixed pattern, e.g. repeat a set of actions each day, each week, etc.
  • The devices also communicate information to the power flow management system about the current state of the world at the device. Information that can be transmitted for the benefit of controlling power flows includes information about how much power is currently flowing through the device and in what direction, capacity information pertaining to the resource (e.g. storage state of charge, fuel level of a generator), faults and error messages, presence of a resource (e.g.: electric vehicles come and go; is the electric vehicle currently available), scheduling constraints (e.g. how long is the resource available), energy consumption in a period (e.g. kWh consumed/produced in the last time period), etc.
  • Sending messages between the power flow management system and the devices requires the sending of data bytes across a network, which consumes network bandwidth. Because many communications costs can be directly measured by the number of bytes transferred to and from a device, minimizing the transfer of bytes between the device and the power flow management system minimizes the communications costs and consumption of network bandwidth.
  • A power flow management system can perform in a more efficient manner when it has complete information about the state of all of the devices under its control at all times. To realize this level of information awareness requires all assets to communication all information pertaining to the power flow management system in a timely fashion. Such a level of information communication comes with an associated cost.
  • There are a number of techniques that can be used to reduce the network traffic consumption in a power flow management system to reduce the cost of communicating with the distributed assets. Such techniques include the following: data compression, data overhead reduction, action/schedule pre-distribution, minimum change dispatch, communication of all status changes, configuration limits on relevant behavior, and non-time-critical information bundling. These bandwidth minimization techniques, and embodiments thereof, are further described below.
  • Data Compression. One of the techniques for minimizing bytes between the system and the distributed resources is data compression within a message. Compressing the data that is sent between the power flow management system and the distributed devices can reduce the total network traffic consumption.
  • A power flow management system that communicates with devices can send compressed messages to save on network traffic. One manner in which this works is to have both the power flow management server and the device use a compression algorithm or library (such as zlib or gzip) to compress data before transmission and to decompress data after transmission.
  • Reducing Data Overhead. In one technique, more bytes are included into a single message in order to reduce per-message overhead. Because each network message has some associated overhead, it is beneficial to put more data into a single message to reduce the network consumption on overhead traffic.
  • A device that is part of a power flow management system may collect data from its sensors and internal processes. For the bits of data that are not time critical to the system, the device can cache the data until the ratio of data to overhead is less than 5%. In the case of TCP/IP, this means waiting until the device had gathered 1280 bytes of data before sending.
  • Action and Schedule Pre-distribution. For complicated or long sequences of actions, these actions can be pre-distributed to the devices (or distributed one time over the network). When any of the pre-distributed actions need to be communicated, an identifier for the more complicated sequence is all that needs to be communicated. For dispatching actions or sets of actions, pre-compute large sets of actions can be directed using an action identifier. As such, the action sets are coded and only the code is transmitted. While this method consumes memory on the client and server, bandwidth consumption is reduced.
  • To achieve an application-level data compression, a power flow management system can define a set of compact messages that represent a pre-defined set of functionality. For example, consider a device that runs just 4 distinct schedules during its normal behavior. Rather than send the schedule that the device should run each time the behavior should begin, the power flow management system can send the device each schedule just once. Subsequent times that each of those four schedules need to run, the power flow management system can indicate which of the four schedules to run (by name or ID), and a substantial amount of bandwidth can be saved.
  • Minimum Change Dispatch. Another technique for minimizing bytes between the system and the distributed resources includes dispatching resources in a way that minimizes the total state change on a per-resource basis within the system. In one example, as few resources as possible communicate in order to effect the desired change within the system. Each time that the power flow management system needs to change the state of the distributed devices (e.g. now there is a need for 15 MW of power flow in some part of the grid, where the earlier needs was for only 13 MW), it can choose to achieve the targeted power flow by looking for the minimum number of changes in the system (e.g. a device that was off needs to be on or vice versa) that satisfies the constraint. In one embodiment, techniques use a single bit to toggle from one state to another, such as from off to on and from on to off.
  • There are many different algorithms that a power flow management system can use to determine which of the connected devices should be at what power flow level at any point in time. Should the power flow management system need to revise the net aggregate behavior of the power flow management system, it will likely need to communicate with some subset of the connected resources to signal a change in behavior.
  • One measure of the quality of a particular set of device change orders is how many of the resources need to be contacted to enact the change. One algorithm for achieving the minimum change set to achieve the system-wide power flow goal is to find resource for which a power flow change in the required direction is possible, and to then sort the devices by the amount of power flow they control. Starting with the device that controls the most power, work down the list of available devices until enough power has been recruited to achieve the goal of the power flow system.
  • Devices should communicate all status changes. This technique does not use application level pings. In the case of any change in device status (e.g. power level change, fuel level change by some interesting quantity, resource arrived/departed where resource may be a vehicles), communicating all such status changes eliminates the need for the power flow management system to use application level pings (i.e. messages from the power flow management system, which has the purpose of asking the device “Are you there?”).
  • In one embodiment, the implemented technique provides that resources communicate their departure from the system. This enables the removal of all application level pings from the system. This also requires that the resources have the ability to maintain power for enough time after being disconnected that they can communicate. When there is a local communications controller, the controller can indicate the disappearance of a resource to the system.
  • Configurable limits on interesting behavior. Another bandwidth minimization technique involves increasing the tolerance limits for state changes that require notification of the main system. Relevant information should be communicated to the power flow management system in real time. The devices should support the ability to increase and decrease the limits of interesting behavior to make the network traffic consumption be tailor-able against responsiveness (e.g. knowing each time the power flow changes by 3% is more informative than if it changes by 10% but requires network bandwidth to communicate).
  • Non-time-critical information should be bundled. Techniques may minimize message overhead by saving data that is not time-sensitive for same-message transmission with data that is time sensitive, thereby saving the messaging overhead and enabling data compression on a larger message. For information that is not time critical to the operation of the power flow information system (diagnostic data, logged data, summary statistics, etc), the devices should gather this information in memory and only transmit it to the power flow management system when a sufficient amount of information is collected such that the portion of the message dedicated to overhead is small.
  • Various combination of the bandwidth minimization techniques may be implemented in an embodiment. For example, devices may communicate all interesting changes to the power flow management system and the limits defining interesting behavior for the device may be configurable. A power flow system that is fully informed and frequently updated about the behavior of the endpoints that are connected to it defines one endpoint on a continuum of control and flexibility. On the other end of the spectrum is a power flow management system that has little or no visibility into the behavior and status of the devices connected to it.
  • To enable the most flexible power flow management system while minimizing the use of network traffic, the system can establish criteria for devices that triggers an update action of status to the power flow management system. This way, only when something changes in the status of the device does communication need to be made. Such a scheme does not waste network traffic having devices inform the power flow management system that things are unchanged from the last communication.
  • For example, consider a battery charging device that is connected to a battery and participates in the network of the power flow management system. Once the device has connected to the power flow management system and reported its power flow (e.g. 800 W), there is no need for the device to report new information to the power flow management system unless there is a change in status. For example, if a device is reporting the amount of power flowing into a battery that is being charged and the battery fills up and does not require further charging.
  • FIG. 10 illustrates an embodiment of a bandwidth minimization technique. A power flow management system, which manages electric devices and electric power supplies 1010, communicates device information 1020 and power flow information 1030. Bandwidth reduction techniques described above are applied to reduce network traffic 1040.
  • Smart Energy Protocol Translation Device
  • A protocol translation device may be provided that fully participates in two or more networks using physical signaling mechanisms that are capable of communication with each network. Messages are reformulated messages such that the messages can pass from one network to another. Since two relevant protocols may not be compatible, such a device passes high-level information as opposed to binary packets. This method is distinct from the method used by Internet routers that simply forward messages from one network to another without modification.
  • A Power Line Communicator (PLC), such as a power line carrier, is a signaling mechanism by which a high-frequency signal is added to the AC power line in a home or business. The high-frequency signal carries information in a variety of protocols to other devices that are able to decode these high frequency signals.
  • The protocol translation device may include the following: a microprocessor and power supply; physical transceivers for each supported communications protocol stack; a software stack capable of decoding messages from each of the communications protocols; and, a software/hardware layer that can translate, if necessary, and re-encode messages from one communications protocol to another communications protocol. Because modern home networking technologies can be wireless or PLC based, the protocol translation device need not be located near any device that it provides translation services for. The protocol translation device can be attached to any outlet in the home, such as wall outlet 204 illustrated in FIG. 2A. The protocol translation device can stand alone or co-reside with a device on the network.
  • In an embodiment, a device acts as an information bridge between two networks. An electric vehicle service equipment (EVSE), or a charge point, may communicate with an electric vehicle via the SAEJ2836 application protocol over a HomePlug AV physical communication mechanism and with a home area network (HAN) using smart energy application protocol over a ZigBee wireless physical communication mechanism. Such an EVSE or charge point can implement the message translation between the two networks. For messages that have equivalent meanings in both networks, the EVSE can reformulate the message that comes in from the ZigBee/Smart Energy network to the format of the J2836/PLC network and transmit the message from the HAN to the vehicle.
  • In another embodiment, the device is a member of two different networks and the device passes messages back and forth between the two networks. The networks have some incompatibility, such as a physical layer or application layer. Smart energy is an application layer protocol that is implemented for multiple physical interfaces including ZigBee and HomePlug PLC. The device can be located such that it is able to participate in both networks simultaneously. The device may contain the physical equipment to be able to send/receive messages on either network, such as ZigBee for wireless and HomePlug PLC for wired. As a message is observed on either network, the device translates the message to the other network's physical layer. When both networks implement smart energy, there is no need to translate the application layer as well.
  • In one embodiment, an electric vehicle service equipment (EVSE) can act as such a translation device. When a vehicle has the ability to communicate via one protocol, and an EVSE is located where access to the central charge management server is provided by a different protocol, the EVSE could act as a translator between the two protocols. Such an EVSE includes complete implementations of both the hardware and software necessary to support both protocols to fully decode each protocol to obtain the application level messages.
  • An EVSE can be connected to a vehicle using the SAE2836 protocol over PLC and can be connected to a home network using a wireless ZigBee protocol, according to one embodiment. The EVSE can include complete implementations of each hardware and protocol stack. As such, the EVSE can forward messages between the two stacks.
  • In an embodiment, the translation device could be physically distinct. For example, in an installation with a PLC based vehicle and a wireless internet access point, the translation device can be a self-contained box plugged into a power outlet.
  • FIG. 11 illustrates an embodiment of a protocol translation for a power flow management system that utilizes networks to communicate between electric devices and electric power supplies 1110. A communications protocol translation device reformulates messages from one protocol to another protocol 1120 in order to transmit such messages from a network using one communications protocol to a network using a different protocol. FIG. 12 shows a communications protocol translation device 1210 implemented between two networks 1220 that are connected to electric power supplies and electric devices 1230.
  • CONCLUSION
  • Although systems and methods have been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described. Rather, the specific features and acts are disclosed as examples of implementations of the claimed methods, devices, systems, etc. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention.

Claims (30)

1. A system for minimizing network traffic consumption in a power flow management system, comprising:
a plurality of devices operable to generate, consume, or store electric energy;
a power flow management system, wherein the power flow management system manages power flow transferred between the plurality of devices and a power grid; and, device information and power flow information communicated, via a network, between the power flow management system and the plurality of devices, wherein the device information is received by the power flow management system, wherein the power flow information is transmitted by the power flow management system, wherein the power flow information comprises an energy rate command received by at least one of the plurality of devices, and
wherein the power flow management system reduces consumption of traffic traversing the network via a network traffic consumption reduction technique.
2. The system of claim 1, wherein the power flow management system is centralized.
3. The system of claim 1, wherein the power flow management system is decentralized.
4. The system of claim 1, wherein the energy rate command provides a time and a rate of energy transfer from the at least one of the plurality of devices.
5. The system of claim 1, wherein the energy rate command provides a time and a rate of energy transfer to the at least one of the plurality of devices.
6. The system of claim 1, wherein the power flow management system determines an optimal time and rate for energy transfer.
7. The system of claim 1, wherein the energy rate command requests an immediate flow of power at a requested level.
8. The system of claim 1, wherein the energy rate command provides a schedule of power flow for the at least one of the plurality of devices.
9. The system of claim 8, wherein the schedule of power flow provides an activation time for a power flow level.
10. The system of claim 8, wherein the schedule of power flow provides a sequence of power flow levels for activating at predetermined times.
11. The system of claim 8, wherein the schedule of power flow is repeated by the at least one of the plurality of devices on a dynamic pattern or fixed pattern.
12. The system of claim 1, wherein the device information relates to a current state of at least one of the plurality of devices.
13. The system of claim 1, wherein the device information is related to at least one of the plurality of devices and is selected from a group consisting of the following: an amount and a direction of power flow associated with the at least one of the plurality of devices; a capacity relating to the at least one of the plurality of devices; faults or error messages; a device presence indicator for the at least one of the plurality of devices; a scheduling constraint; or energy consumption in a period.
14. The system of claim 1, wherein the network traffic consumption reduction technique is a technique selected from a group consisting of the following: data compression, data overhead reduction, action/schedule pre-distribution, minimum change dispatch, communication of all status changes, configurable limitations on relevant device behavior, or non-time-critical information bundling.
15. A system for communications protocol translation in a power flow management system, comprising:
electric devices and electric power supplies connected via a plurality of networks, wherein at least one network of the plurality of networks utilizes a first communications protocol that is different from a second communications protocol utilized by at least a second network of the plurality of networks;
a communications protocol translation device operable to communicate with the plurality of networks, wherein the communications protocol translation device formulates a message from the first communications protocol to the second communications protocol, whereby the reformulated message passes from the first network to the second network.
16. The system of claim 15, wherein the first network connects an electric device to the power flow management system, and wherein the second network connects an electric power supply to the power flow management system.
17. The system of claim 15, wherein the first network connects an electric power supply to the power flow management system, and wherein the second network connects an electric device to the power flow management system.
18. The system of claim 15, wherein the first network connects an electric power supply to an electric device, and wherein the second network connects a second electric device to the electric power supply.
19. The system of claim 15, wherein the communications protocol translation device is an electric device.
20. The system of claim 19, wherein the electric device is an electric vehicle service equipment.
21. The system of claim 15, wherein the communications protocol translation device is located within a power outlet.
22. The system of claim 15, wherein at least one of the plurality of networks utilizes a communications protocol selected from a group consisting of the following: SAE2836 or ZigBee.
23. The system of claim 15, wherein the communications protocol translation device comprises:
a microprocessor;
a power supply;
physical transceivers for each of a plurality of supported communications protocol stacks; and,
a software stack capable of decoding messages coded in the first protocol to the application level and re-encoding the decoded messages into the second communications protocol.
24. The system of claim 15, wherein the communications protocol translation device is located remotely from the electric devices connected to the plurality of networks.
25. A device comprising
a first transceiver adapted to be connected to a first network supporting a first network protocol;
a second transceiver adapted to be connected to a second network supporting a second network protocol;
a translation module comprising one or more processors programmed to execute software code retrieved from a computer readable storage medium storing software configured to receive, using the first transceiver, at least one application level message in the first protocol from the first network;
decode the at least one application level message;
encode the at least one application level message in the second protocol;
transmit, using the second transceiver, the at least one application level message encoded in the second protocol over the second network.
26. The system of claim 25 wherein the first network is a network in a vehicle and the second network is a network providing access to a central charge management server.
27. The system of claim 26 wherein the first protocol is a SAE2836 protocol over PLC.
28. The system of claim 27 wherein the second protocol is a wireless ZigBee protocol.
29. The system of claim 25 wherein the translation module is integrated into the electric vehicle service equipment.
30. The system of claim 25 the device is a self-contained box plugged in to a power outlet.
US12/751,853 2009-03-31 2010-03-31 System communication systems and methods for electric vehicle power management Abandoned US20110007824A1 (en)

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US13/671,717 US8796881B2 (en) 2009-03-31 2012-11-08 Electric vehicle power management systems
US14/338,427 US9283862B2 (en) 2009-03-31 2014-07-23 Electric vehicle power management systems
US15/926,386 US20190061535A1 (en) 2009-03-31 2018-03-20 Electric vehicle power management systems

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US12/751,852 Active 2033-02-08 US8781809B2 (en) 2009-03-31 2010-03-31 Software modeling systems for metering and translating measurements
US12/751,837 Abandoned US20110004406A1 (en) 2009-03-31 2010-03-31 Systems and methods for location determination of devices using network fingerprints for power management
US12/751,862 Abandoned US20110010043A1 (en) 2009-03-31 2010-03-31 Vehicle communication systems and methods for electric vehicle power management
US12/751,853 Abandoned US20110007824A1 (en) 2009-03-31 2010-03-31 System communication systems and methods for electric vehicle power management
US13/671,717 Active US8796881B2 (en) 2009-03-31 2012-11-08 Electric vehicle power management systems
US14/338,427 Active US9283862B2 (en) 2009-03-31 2014-07-23 Electric vehicle power management systems
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US12/751,852 Active 2033-02-08 US8781809B2 (en) 2009-03-31 2010-03-31 Software modeling systems for metering and translating measurements
US12/751,837 Abandoned US20110004406A1 (en) 2009-03-31 2010-03-31 Systems and methods for location determination of devices using network fingerprints for power management
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Cited By (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120161692A1 (en) * 2010-12-24 2012-06-28 Hitachi Automotive Systems, Ltd. Charging control system
US8358102B2 (en) 2011-10-21 2013-01-22 General Electric Company System, charging device, and method of charging a power storage device
US8384359B2 (en) 2011-10-21 2013-02-26 General Electric Company System, charging device, and method of charging a power storage device
US8588991B1 (en) * 2012-07-31 2013-11-19 Causam Holdings, LLC System, method, and apparatus for electric power grid and network management of grid elements
US8595122B2 (en) 2010-07-23 2013-11-26 Electric Transportation Engineering Corporation System for measuring electricity and method of providing and using the same
US20140025215A1 (en) * 2012-07-19 2014-01-23 Solarcity Corporation Software abstraction layer for energy generation and storage systems
US8710372B2 (en) 2010-07-23 2014-04-29 Blink Acquisition, LLC Device to facilitate moving an electrical cable of an electric vehicle charging station and method of providing the same
US8725330B2 (en) 2010-06-02 2014-05-13 Bryan Marc Failing Increasing vehicle security
US20150120069A1 (en) * 2013-09-23 2015-04-30 Infosys Limited Systems and methods for effective selection of disparate distributed power sources for smart grid
US9045042B2 (en) 2012-04-13 2015-06-02 Toyota Motor Engineering & Manufacturing North America, Inc. System and method for a one-time departure schedule setup for charging battery-electric vehicles
US20150317755A1 (en) * 2010-05-25 2015-11-05 Mitsubishi Electric Corporation Electric power information management apparatus, electric power information management system, and electric power information management method
US20160028275A1 (en) * 2011-04-22 2016-01-28 Melrok, Llc Systems and methods to manage and control renewable distributed energy resources
US9348381B2 (en) 2011-10-19 2016-05-24 Zeco Systems Pte Ltd Methods and apparatuses for charging of electric vehicles
US9678522B2 (en) 2007-08-28 2017-06-13 Causam Energy, Inc. Method and apparatus for actively managing consumption of electric power over an electric power grid
US9766644B2 (en) 2007-08-28 2017-09-19 Causam Energy, Inc. System, method, and apparatus for actively managing consumption of electric power supplied by one or more electric power grid operators
US20170331570A1 (en) * 2014-12-25 2017-11-16 Kyocera Corporation Power management system, relay apparatus, and power management method
US9937811B2 (en) 2013-07-19 2018-04-10 Ford Global Technologies, Llc Vehicle authentication for a BEV charger
US10195956B2 (en) 2017-06-02 2019-02-05 United Arab Emirates University Secure charging method for electric vehicles
US10277031B2 (en) 2012-07-19 2019-04-30 Solarcity Corporation Systems for provisioning energy generation and storage systems
CN109703389A (en) * 2019-01-17 2019-05-03 北京理工新源信息科技有限公司 Knee net integration charging schedule device and method based on new energy bus
US10310534B2 (en) 2012-07-31 2019-06-04 Causam Energy, Inc. System, method, and data packets for messaging for electric power grid elements over a secure internet protocol network
US10497073B2 (en) 2012-10-24 2019-12-03 Causam Energy, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US10545525B2 (en) 2011-11-28 2020-01-28 Melrok, Llc Self-driving building energy engine
US10833504B2 (en) 2007-08-28 2020-11-10 Causam Energy, Inc. Systems and methods for determining and utilizing customer energy profiles for load control for individual structures, devices, and aggregation of same
US10861112B2 (en) 2012-07-31 2020-12-08 Causam Energy, Inc. Systems and methods for advanced energy settlements, network-based messaging, and applications supporting the same on a blockchain platform
US11004160B2 (en) 2015-09-23 2021-05-11 Causam Enterprises, Inc. Systems and methods for advanced energy network
US11135936B2 (en) 2019-03-06 2021-10-05 Fermata, LLC Methods for using temperature data to protect electric vehicle battery health during use of bidirectional charger
US20210347273A1 (en) * 2020-05-08 2021-11-11 Rivian Ip Holdings, Llc Electric vehicle charging system and method
US11453298B2 (en) 2020-05-08 2022-09-27 Rivian Ip Holdings, Llc Electric vehicle charging dispenser and method
US11628739B2 (en) 2020-05-08 2023-04-18 Rivian Ip Holdings, Llc Electric vehicle fleet charging system and method
US11676079B2 (en) 2009-05-08 2023-06-13 Causam Enterprises, Inc. System and method for generating and providing dispatchable operating reserve energy capacity through use of active load management
US11868927B2 (en) 2020-05-08 2024-01-09 Rivian Ip Holdings, Llc Electric vehicle charging system and method
US11890951B2 (en) 2020-05-08 2024-02-06 Rivian Ip Holdings, Llc Electric vehicle charging system and method utilizing a dispenser chain
EP4325689A1 (en) * 2022-07-13 2024-02-21 STILL GmbH Charging device for charging a rechargeable battery
US11958376B2 (en) 2021-08-27 2024-04-16 Fermata Energy Llc Methods for using cycle life data to protect electric vehicle battery health during use of bidirectional charger

Families Citing this family (247)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110001356A1 (en) * 2009-03-31 2011-01-06 Gridpoint, Inc. Systems and methods for electric vehicle grid stabilization
US20100292855A1 (en) 2009-05-14 2010-11-18 Michael Kintner-Meyer Battery Charging Control Methods, Electrical Vehicle Charging Methods, Battery Charging Control Apparatus, and Electrical Vehicles
DE102010002093B4 (en) * 2009-06-03 2024-03-14 Continental Automotive Technologies GmbH C2X communication with reduced data volume
WO2011014773A2 (en) * 2009-07-31 2011-02-03 Deka Products Limited Partnership Systems, methods and apparatus for vehicle battery charging
US20110109165A1 (en) * 2009-11-11 2011-05-12 International Business Machines Corporation Apparatus and method for managing a power source
US20120270535A1 (en) * 2009-12-17 2012-10-25 Texas Instruments Incorporated Implicit CSI Feedback for DL Multiuser MIMO Transmission
WO2011079235A1 (en) * 2009-12-22 2011-06-30 Interactive Grid Solutions, Llc Distributed energy source system
WO2011102515A1 (en) * 2010-02-22 2011-08-25 トヨタ自動車株式会社 Power supply control device and information provision device
JP5659506B2 (en) * 2010-03-03 2015-01-28 富士通株式会社 Power leveling control device, power leveling control method, and program
JPWO2011122517A1 (en) * 2010-03-29 2013-07-08 三洋電機株式会社 Charging system
JP5607427B2 (en) * 2010-05-31 2014-10-15 株式会社モーション Charging vehicle allocation management server and charging vehicle allocation management system
WO2011130474A2 (en) * 2010-04-14 2011-10-20 Raytheon Company Modeling and simulation of power environments
ES2777887T3 (en) * 2010-05-03 2020-08-06 Siemens Gamesa Renewable Energy As System for exchanging electrical energy between a battery and an electrical network and the respective procedure
DE102010021070A1 (en) * 2010-05-19 2011-11-24 Siemens Aktiengesellschaft Method for regulating the stability of an electrical supply network
US9209623B1 (en) 2010-08-04 2015-12-08 University Of Washington Through Its Center For Commercialization Methods and systems for charging electrical devices via an electrical system
EP2602900B1 (en) * 2010-08-05 2020-05-20 Mitsubishi Jidosha Kogyo Kabushiki Kaisha Battery information output device for power supply/demand leveling system
US8981716B2 (en) * 2010-08-09 2015-03-17 Control Module, Inc. Power share system for electric vehicle service equipment
WO2012027634A1 (en) 2010-08-27 2012-03-01 Trilliant Networkd, Inc. System and method for interference free operation of co-located tranceivers
US20120054125A1 (en) * 2010-09-01 2012-03-01 Eric Douglass Clifton Resource management and control system
US8639409B2 (en) * 2010-09-30 2014-01-28 Hitachi, Ltd System for managing electrical power distribution between infrastructure and electric vehicles
US7986126B1 (en) 2010-10-01 2011-07-26 Toyota Motor Sales, U.S.A., Inc. Automated system for determining whether vehicle charge station is publicly accessible
US8594859B2 (en) 2010-10-18 2013-11-26 Qualcomm Incorporated Method and system for real-time aggregation of electric vehicle information for real-time auctioning of ancillary services, and real-time lowest cost matching electric vehicle energy demand to charging services
DE102010043001A1 (en) * 2010-10-27 2012-05-03 Siemens Aktiengesellschaft Charging system and method for charging vehicle batteries
EP3799248B1 (en) 2010-10-27 2022-06-22 The AES Corporation Method to manage energy services for a plurality of assets of different types.
US10069454B2 (en) * 2010-10-28 2018-09-04 Solar Chief, Llc System and method for managing distributed renewable energy systems and service providers
US8401711B2 (en) * 2010-10-28 2013-03-19 Solar Chief, Llc System and method for managing distributed renewable energy systems
US20120123604A1 (en) * 2010-11-12 2012-05-17 Nathan Bowman Littrell Systems, methods, and apparatus for demand response of battery-powered devices
EP2641137A2 (en) 2010-11-15 2013-09-25 Trilliant Holdings, Inc. System and method for securely communicating across multiple networks using a single radio
US9026813B2 (en) 2010-11-22 2015-05-05 Qualcomm Incorporated Establishing a power charging association on a powerline network
GB2486016A (en) * 2010-12-02 2012-06-06 Sony Corp Control of storage devices in an electric power network
WO2012097204A1 (en) 2011-01-14 2012-07-19 Trilliant Holdings, Inc. Process, device and system for volt/var optimization
US8712595B2 (en) * 2011-01-18 2014-04-29 General Electric Company Dynamic load profiling in a power network
US8502498B2 (en) * 2011-01-19 2013-08-06 General Motors Llc Localized charging of electric vehicles
WO2012103072A2 (en) 2011-01-25 2012-08-02 Trilliant Holdings, Inc. Aggregated real-time power outages/restoration reporting (rtpor) in a secure mesh network
EP3285458B1 (en) 2011-02-10 2022-10-26 Trilliant Holdings, Inc. Device and method for facilitating secure communications over a cellular network
WO2012122310A1 (en) * 2011-03-08 2012-09-13 Trilliant Networks, Inc. System and method for managing load distribution across a power grid
US20140002233A1 (en) * 2011-03-11 2014-01-02 Interactive Control Solutions, Llc Wireless control module and docking apparatus
US9893526B2 (en) 2011-03-25 2018-02-13 Green Charge Networks Llc Networked power management and demand response
US9837821B2 (en) 2011-03-25 2017-12-05 Green Charge Networks Llc Energy allocation for energy storage cooperation
US20120265362A1 (en) * 2011-04-14 2012-10-18 Christopher Charles Yasko Charging device for use with electric vehicles and methods of assembling same
GB2494368B (en) * 2011-04-27 2014-04-02 Ea Tech Ltd Electric power demand management
WO2012149965A1 (en) * 2011-05-04 2012-11-08 Siemens Aktiengesellschaft Method and apparatus for providing electrical energy
CN102323800A (en) * 2011-05-31 2012-01-18 北京许继电气有限公司 Panoramic electricity consumption information intelligent home system based on internet of things
US8854000B2 (en) * 2011-06-01 2014-10-07 GM Global Technology Operations LLC Rapid energy recharge system for a battery electric vehicle
US9300138B2 (en) * 2011-06-07 2016-03-29 Fujitsu Limited System and method for managing power consumption
US9310786B2 (en) * 2011-06-17 2016-04-12 Siemens Industry, Inc. Automated demand response scheduling to reduce electrical loads
US9003492B2 (en) 2011-06-21 2015-04-07 Qualcomm Incorporated Secure client authentication and service authorization in a shared communication network
JP5516525B2 (en) 2011-07-20 2014-06-11 トヨタ自動車株式会社 Driving assistance device
CN103875154B (en) 2011-07-26 2016-11-09 睿能创意公司 For collecting, redistributing the device of electrical energy storage of such as battery, method and article between charging and dispenser
US20130026986A1 (en) * 2011-07-26 2013-01-31 Honeywell International Inc. Transformer-level management of power consumption by one or more consumers
JP6026535B2 (en) 2011-07-26 2016-11-16 ゴゴロ インク RESERVED POWER STORAGE DEVICE DEVICE, METHOD, AND ARTICLE FOR RESERVING A POWER STORAGE DEVICE IN A COLLECTION, CHARGING AND DISTRIBUTION MACHINE
US10186094B2 (en) 2011-07-26 2019-01-22 Gogoro Inc. Apparatus, method and article for providing locations of power storage device collection, charging and distribution machines
ES2939174T3 (en) 2011-07-26 2023-04-19 Gogoro Inc Dynamic limitation of vehicle operation for a better economy of efforts
US20130030920A1 (en) 2011-07-26 2013-01-31 Gogoro, Inc. Apparatus, method and article for providing information regarding availability of power storage devices at a power storage device collection, charging and distribution machine
US8854013B2 (en) 2011-07-27 2014-10-07 The Boeing Company System for monitoring a battery charger
US9124098B2 (en) * 2011-08-08 2015-09-01 General Electric Company Managing excess renewable energy
US8384347B2 (en) 2011-08-08 2013-02-26 General Electric Company Methods and systems for charging an energy storage device
US9021278B2 (en) 2011-08-10 2015-04-28 Qualcomm Incorporated Network association of communication devices based on attenuation information
US20130046411A1 (en) * 2011-08-15 2013-02-21 Siemens Corporation Electric Vehicle Load Management
US9811130B2 (en) * 2011-09-12 2017-11-07 The Boeing Company Power management control system
WO2013039753A1 (en) * 2011-09-16 2013-03-21 Aerovironment, Inc. Methods for operating a multi-use energy management and conversion system for electric vehicle charging
US9001787B1 (en) 2011-09-20 2015-04-07 Trilliant Networks Inc. System and method for implementing handover of a hybrid communications module
US8332078B2 (en) 2011-10-21 2012-12-11 General Electric Company System, charging device, and method of supplying current to a power storage device
US9698616B2 (en) * 2011-10-31 2017-07-04 Abb Research Ltd. Systems and methods for restoring service within electrical power systems
CN102419839B (en) * 2011-11-15 2014-10-08 国家电网公司 Tracking system and method for battery box of electric automobile
CA2858189C (en) 2011-12-05 2020-09-29 Hatch Ltd. System, method and controller for managing and controlling a micro-grid
DE102011120249A1 (en) * 2011-12-05 2013-06-06 Volkswagen Aktiengesellschaft Method for operating an Internet Protocol-based functional system and associated Internet Protocol-based functional ...
WO2013086411A1 (en) * 2011-12-09 2013-06-13 The Aes Corporation Frequency responsive charge sustaining control of electricity storage systems for ancillary services on an electrical power grid
WO2013093794A2 (en) 2011-12-23 2013-06-27 International Business Machines Corporation Energy allocation system
US9007027B2 (en) 2012-01-31 2015-04-14 Green Charge Networks Llc Charge management for energy storage temperature control
US9290103B2 (en) * 2012-02-08 2016-03-22 Control Module, Inc. EVSE controller system
JP2013169869A (en) * 2012-02-20 2013-09-02 Sumitomo Electric Networks Inc Communication system, communication method, relay device, and relay program
US20130226484A1 (en) * 2012-02-27 2013-08-29 Nokia Corporation Method and apparatus for generating power flow signatures
US9235825B2 (en) 2012-03-05 2016-01-12 Green Charge Neworks LLC Processing load profiles for consumption management systems
US8913801B2 (en) 2012-06-29 2014-12-16 Apple Inc. Enrollment using synthetic fingerprint image and fingerprint sensing systems
US10372962B2 (en) 2012-06-29 2019-08-06 Apple Inc. Zero fingerprint enrollment system for an electronic device
US20150165918A1 (en) * 2012-07-04 2015-06-18 Nec Corporation Charging system control apparatus, program, and control method
US9078099B2 (en) 2012-07-16 2015-07-07 Qualcomm Incorporated Localization method employing radio signal strength measurements of electric and gas meters
CN102831719B (en) * 2012-08-06 2014-09-24 成志东 Orderly alternate electric vehicle charging control system capable of preventing overload of power grid
JP5968719B2 (en) * 2012-08-06 2016-08-10 京セラ株式会社 Management system, management method, control device, and storage battery device
WO2014024227A1 (en) * 2012-08-10 2014-02-13 パナソニック株式会社 Electric vehicle
CN102832663B (en) * 2012-08-15 2015-11-11 中国电力科学研究院 Based on SDP and V2GTP-EXI electric automobile self adaptation charge control system and control method thereof
JP5931644B2 (en) * 2012-08-17 2016-06-08 株式会社東芝 Charge management system
US8981709B1 (en) * 2012-08-22 2015-03-17 Edee, LLC Supplemental electrical generation apparatus and method
US9434271B2 (en) 2012-09-04 2016-09-06 Recargo, Inc. Conditioning an electric grid using electric vehicles
GB2506185A (en) * 2012-09-25 2014-03-26 Nissan Motor Mfg Uk Ltd Fault detection system for electric vehicle charging
GB2506401A (en) 2012-09-28 2014-04-02 Ibm Method for allocating electrical energy in a smart grid
US9348384B2 (en) 2012-11-12 2016-05-24 Kevin J. Williams Distributed energy source system
AU2014218321A1 (en) * 2013-02-13 2015-09-24 Carbontrack Pty Ltd System and method for monitoring and control of appliances
US9517701B2 (en) * 2013-03-04 2016-12-13 Talino Ev Management Systems Inc. Distributed battery management system for remote repletion of electric vehicles
US20140266039A1 (en) * 2013-03-14 2014-09-18 General Electric Company Systems and Methods for Controlling a Charging Device
CN105210257B (en) 2013-03-15 2018-11-13 睿能创意公司 Modular system for being collected and distributing to storage device electric
CN103138350B (en) * 2013-03-20 2015-11-25 张家港市华为电子有限公司 A kind of single phase industrial frequency transformer type charging device
JP6466407B2 (en) * 2013-04-08 2019-02-06 ジョ−ライン コーポレーション リミテッド Location-based power intermediary module, electric vehicle and intermediary server, and user authentication outlet or connector used therefor
DE102013006254A1 (en) * 2013-04-11 2014-10-16 Audi Ag Voltage release of a high voltage vehicle
US9873345B2 (en) 2013-04-18 2018-01-23 Talino Ev Management Systems, Inc. Distributed charge management system for electric vehicles
DE102013212221A1 (en) * 2013-06-26 2014-12-31 Bayerische Motorenwerke Aktiengesellschaft Charging port detection
JP5735050B2 (en) * 2013-06-28 2015-06-17 トヨタ自動車株式会社 Vehicle and power receiving device
FR3008246B1 (en) * 2013-07-03 2017-07-07 Schneider Electric Ind Sas SYSTEM FOR ELECTRICALLY CHARGING A PLURALITY OF ELECTRIC VEHICLES AND METHOD FOR DISTRIBUTING THE ELECTRICAL POWER DELIVERED BY AN ELECTRIC POWER SUPPLY OF SUCH A SYSTEM
CN104301339A (en) * 2013-07-16 2015-01-21 北京基业达电气有限公司 Electric vehicle charging station metropolitan area network Internet of Vehicles management system
JP6142729B2 (en) * 2013-08-19 2017-06-07 トヨタ自動車株式会社 Charging system, vehicle and charging equipment
US10089641B2 (en) 2013-08-28 2018-10-02 San Diego Gas & Electric Company Interconnect socket adapter for adapting one or more power sources and power sinks
US9772347B2 (en) 2013-08-28 2017-09-26 San Diego Gas & Electric Company Interconnection meter socket adapters
US9995768B2 (en) 2013-08-28 2018-06-12 San Diego Gas & Electric Interconnection meter socket adapters
US9904308B2 (en) 2013-08-28 2018-02-27 San Diego Gas & Electric Company Managing power source interaction through an interconnect socket adapter configured with an electric vehicle sink
US10132838B2 (en) 2013-08-28 2018-11-20 San Diego Gas & Electric Company Managing power source interaction through an interconnect socket adapter configured with an energy storage source/sink
DE102013217259A1 (en) * 2013-08-29 2015-03-05 Bayerische Motoren Werke Aktiengesellschaft Mode switching of a controller between diagnostic bus and external Ethernet connection
US10766370B2 (en) * 2013-09-04 2020-09-08 Recargo, Inc. Managing electric vehicle loads on an electric grid
DE102013217740A1 (en) * 2013-09-05 2015-03-05 Robert Bosch Gmbh SYSTEM FOR LOADING AN ELECTRIC VEHICLE, ELECTRIC VEHICLE AND METHOD
JP6129701B2 (en) * 2013-09-20 2017-05-17 株式会社東芝 CHARGE MANAGEMENT DEVICE, CHARGE MANAGEMENT SYSTEM, AND CHARGE MANAGEMENT METHOD
US20150097531A1 (en) * 2013-10-03 2015-04-09 The Trustees Of Princeton University System and method for controlling networked, grid-level energy storage devices
CN103618380B (en) * 2013-11-07 2017-02-01 南车株洲电力机车研究所有限公司 Intelligent monitoring system based on photovoltaic micro-grid
IN2013CH06082A (en) 2013-12-26 2015-07-03 Gen Electric
KR101528079B1 (en) * 2013-12-27 2015-06-10 두산중공업 주식회사 Battery exchange station and operating method for battery exchange station
DE102014201954A1 (en) * 2014-02-04 2015-08-06 Volkswagen Aktiengesellschaft Method for data transmission, communication network and vehicle
US9514351B2 (en) 2014-02-12 2016-12-06 Apple Inc. Processing a fingerprint for fingerprint matching
US9576126B2 (en) * 2014-02-13 2017-02-21 Apple Inc. Updating a template for a biometric recognition device
US9409492B2 (en) 2014-04-21 2016-08-09 Honda Motor Co., Ltd. Method for precise demand response and control, and a system thereof
US9219499B2 (en) 2014-05-16 2015-12-22 Robert Bosch Gmbh Run time compression method for a vehicle communication bus
US9315108B2 (en) * 2014-07-08 2016-04-19 Toyota Jidosha Kabushiki Kaisha Vehicle function determination
JP6396464B2 (en) * 2014-07-10 2018-09-26 パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカPanasonic Intellectual Property Corporation of America In-vehicle network system, electronic control unit, reception method and transmission method
CN104134372A (en) * 2014-08-04 2014-11-05 上海扬梓投资管理有限公司 Vehicle safety information communication terminal and method
CN116587899A (en) 2014-09-04 2023-08-15 睿能创意公司 Portable electric energy storage charging and bidirectional distribution system
MX2017003230A (en) * 2014-09-12 2018-02-19 Bcp Controls Llc Systems and methods for managing power grid demand.
US10870358B2 (en) * 2014-09-14 2020-12-22 Enel X North America, Inc. Systems and methods for enabling automatic management of power loads and power generation based on user-specified set of rules
EP3202006A1 (en) * 2014-10-03 2017-08-09 Pillar USA, Inc. Uninterrupted power supply systems and method for the operation thereof
EP3018786B2 (en) 2014-11-07 2023-11-22 General Electric Technology GmbH Current flow control assembly
US9744870B2 (en) * 2014-11-11 2017-08-29 Empire Technology Development Llc Wirelessly charging vehicles moving in vehicle convoy
US9573478B2 (en) 2014-11-14 2017-02-21 Schneider Electric USA, Inc. EVSE doubler add-on unit
US9804034B2 (en) 2014-11-14 2017-10-31 Schneider Electric USA, Inc. EVSE with cordset handle temperature measurement
US10220719B2 (en) 2014-11-17 2019-03-05 Siemens Industry, Inc. EVSE-based energy automation, management, and protection systems and methods
US9707850B2 (en) 2014-11-18 2017-07-18 Schneider Electric USA, Inc. EVSE handle with automatic thermal shut down by NTC to ground
US9785126B2 (en) * 2014-11-25 2017-10-10 Rockwell Automation Technologies, Inc. Inferred energy usage and multiple levels of energy usage
US9694684B2 (en) * 2014-12-03 2017-07-04 Honda Motor Co., Ltd. Priority based power management system and method for an electric vehicle
US10490999B2 (en) * 2014-12-22 2019-11-26 Battelle Memorial Institute Hierarchical operational control of aggregated load management resources
WO2016109562A1 (en) * 2014-12-29 2016-07-07 Fillit Marielle Damara Solar home system for all household services
US10173687B2 (en) 2015-03-16 2019-01-08 Wellen Sham Method for recognizing vehicle driver and determining whether driver can start vehicle
US9550406B2 (en) 2015-03-16 2017-01-24 Thunder Power Hong Kong Ltd. Thermal dissipation system of an electric vehicle
US9469350B2 (en) 2015-03-16 2016-10-18 Thunder Power Hong Kong Ltd. Underbody manufacturing method and vehicle underbody
US9954260B2 (en) 2015-03-16 2018-04-24 Thunder Power New Energy Vehicle Development Company Limited Battery system with heat exchange device
US10703211B2 (en) 2015-03-16 2020-07-07 Thunder Power New Energy Vehicle Development Company Limited Battery pack, battery charging station, and charging method
US9499067B2 (en) * 2015-03-16 2016-11-22 Thunder Power Hong Kong Ltd. Power management in electric vehicles
US9731615B2 (en) 2015-03-24 2017-08-15 Honda Motor Co., Ltd. Grid overlay for a zip coded map system and method therefor
US20160280091A1 (en) * 2015-03-27 2016-09-29 Nissan North America, Inc. Managing the exchange of electrical power with rechargeable vehicle batteries in v2x systems
SE540410C2 (en) * 2015-04-01 2018-09-11 Cacharge Ab System and Method for Providing Electric Energy
CN107690739B (en) * 2015-05-29 2021-07-20 惠普发展公司,有限责任合伙企业 Wireless charging in lower level types
US9630518B2 (en) * 2015-06-09 2017-04-25 Ford Global Technologies, Llc Dynamic grid loading using plug-in electrified vehicles
US20160365729A1 (en) * 2015-06-10 2016-12-15 Tanachat Pochana Intelligent control system for power generation equipment
CN104881822A (en) * 2015-06-29 2015-09-02 国家电网公司 Evaluation method, device and system
WO2017008055A1 (en) * 2015-07-09 2017-01-12 Powertree Services, Inc. Grid integration with photovoltaic generation and electric vehicle charging
WO2017015353A1 (en) * 2015-07-20 2017-01-26 Rutgers, The State University Of New Jersey Methods and systems of optimizing energy capture for electric or hybrid vehicle solar panels
EP3337686B1 (en) 2015-08-17 2021-09-22 Nokia Technologies Oy Methods, apparatuses and computer-readable instructions for activating charging of an electric vehicle
US10183586B1 (en) 2015-09-25 2019-01-22 Evercharge, Inc. Mixed-level electric vehicle supply equipment (EVSE) and associated charging methods for multi-type electric vehicles and non-electric vehicle devices
US11091054B1 (en) * 2018-03-14 2021-08-17 Evercharge, Inc. Smart load management apparatus and system for electric vehicle charging
US10737577B2 (en) 2015-11-04 2020-08-11 Ford Global Technologies, Llc Control strategy for charging electrified vehicle over multiple locations of a drive route
JP2017093223A (en) * 2015-11-13 2017-05-25 株式会社東芝 Power reception device, power transmission device, and wireless electric power transmission system
US10168682B1 (en) 2015-11-20 2019-01-01 Wellhead Power Solutions, Llc System and method for managing load-modifying demand response of energy consumption
US10439401B2 (en) * 2015-11-23 2019-10-08 Doosan Gridtech, Inc. Managing the outflow of a solar inverter
CA2951306A1 (en) * 2015-12-10 2017-06-10 Open Access Technology International, Inc. Systems to electronically catalog and generate documentation for retail-level power
FR3045900B1 (en) * 2015-12-21 2018-11-16 Electricite De France SYSTEM AND METHOD FOR CONTROLLING AN ENERGY STORAGE DEVICE
US10724499B2 (en) * 2015-12-23 2020-07-28 Vestas Wind Systems A/S Controlling wind turbines according to reliability estimates
US10202043B2 (en) * 2016-04-18 2019-02-12 Ford Global Technologies, Llc Structure to optimize electricity generation in a vehicle
WO2017189882A1 (en) * 2016-04-27 2017-11-02 San Diego Gas & Electric Company Managing power source interaction through an interconnect socket adapter configured with an electric vehicle sink
CN105844432A (en) * 2016-05-01 2016-08-10 上海大学 VANET based electric automobile charge scheduling system and method
US20180141450A1 (en) * 2016-06-29 2018-05-24 Faraday&Future Inc. Vehicle based charging station robot arm control
JP6623971B2 (en) * 2016-08-05 2019-12-25 株式会社デンソー Transmission circuit
WO2018037260A1 (en) * 2016-08-23 2018-03-01 Pismo Labs Technology Ltd. Methods and systems for supplying electricity to multiple loads with current measurements
US10650621B1 (en) 2016-09-13 2020-05-12 Iocurrents, Inc. Interfacing with a vehicular controller area network
CN109689423B (en) * 2016-09-14 2023-06-06 福特汽车公司 Autonomous vehicle fueling using centralized scheduling
WO2018050222A1 (en) * 2016-09-14 2018-03-22 Innogy Se System comprising an electrical producer arrangement
US10216190B2 (en) 2016-09-20 2019-02-26 International Business Machines Corporation Managing autonomous vehicles needing energy replenishment
CN106300675B (en) * 2016-09-20 2019-04-23 浙江工业大学 A kind of microgrid experiment porch and its control system
JP2018049316A (en) * 2016-09-20 2018-03-29 株式会社東芝 Sensor diagnostic device, sensor diagnostic method and program
US10230198B2 (en) 2016-09-29 2019-03-12 Schneider Electric USA, Inc. EVSE energy management system retrofit coupling
DE102016219726A1 (en) * 2016-10-11 2018-04-12 Bayerische Motoren Werke Aktiengesellschaft Method for controlling the electrical charging of a group of vehicles
CN107972497A (en) * 2016-10-21 2018-05-01 法乐第(北京)网络科技有限公司 A kind of power battery management method
DE102016221690A1 (en) * 2016-11-04 2018-05-09 Audi Ag Method for transmitting data packets between an Ethernet and a bus system in a motor vehicle, and gateway device and motor vehicle
WO2018098400A1 (en) * 2016-11-26 2018-05-31 The Regents Of The University Of California Multi-layer electric vehicle energy management system with customized data models
US11196294B2 (en) * 2016-11-28 2021-12-07 Kyocera Corporation Power management method, power management server, local control apparatus, and power management system
FR3060887B1 (en) * 2016-12-19 2019-08-23 Electricite De France SYSTEM ADAPTED FOR RECHARGING ELECTRIC VEHICLES
FR3060888B1 (en) * 2016-12-19 2022-08-12 Electricite De France IMPROVED CHARGING DEVICE, PARTICULARLY FOR ELECTRIC VEHICLES
TWI614969B (en) * 2016-12-27 2018-02-11 財團法人工業技術研究院 Charge and discharge control method and lease service pricing system for grid-connected energy storing system
DE102017204727A1 (en) * 2017-03-21 2018-09-27 Robert Bosch Gmbh A method for establishing a communication link, vehicle communication device and charging station communication device
CN107016079B (en) * 2017-03-28 2020-09-01 青岛伟东云教育集团有限公司 Knowledge point display method and device
US10803535B2 (en) * 2017-04-20 2020-10-13 International Business Machines Corporation Facilitating power transactions
US10999652B2 (en) 2017-05-24 2021-05-04 Engie Storage Services Na Llc Energy-based curtailment systems and methods
EP3633813A1 (en) * 2017-05-29 2020-04-08 Kyocera Corporation Management method and management device
JP6640925B2 (en) * 2017-05-29 2020-02-05 京セラ株式会社 Management system, management method, control device, and storage battery device
US10572542B1 (en) * 2017-06-27 2020-02-25 Lytx, Inc. Identifying a vehicle based on signals available on a bus
US10658841B2 (en) 2017-07-14 2020-05-19 Engie Storage Services Na Llc Clustered power generator architecture
EP3659235B1 (en) * 2017-07-24 2023-12-27 EV8 Technologies limited Method for controlling an energy terminal, non-transitory machine-readable storage medium, and apparatus
GB2565307B (en) * 2017-08-08 2019-10-09 British Gas Trading Ltd System for dynamic demand balancing in energy networks
CN107733798A (en) * 2017-10-09 2018-02-23 珠海格力电器股份有限公司 Can source router and energy adjustment method
EP3493354A1 (en) * 2017-12-01 2019-06-05 Telefonica Innovacion Alpha S.L A method and a system for analyzing and providing performance and infrastructure improvements for a peer-to-peer distributed energy network
CN107776433A (en) * 2017-12-05 2018-03-09 暨南大学 A kind of discharge and recharge optimal control method of electric automobile group
CA3091607A1 (en) 2018-02-19 2019-08-22 Power Hero Corp. A method and device for converting standalone ev charging stations into intelligent stations with remote communications connectivity and control
EP3565078A1 (en) * 2018-04-30 2019-11-06 E.ON Sverige AB Handling surplus and/or deficit of energy in local energy systems
US11010503B2 (en) * 2018-05-15 2021-05-18 Tata Consultancy Services Limited Method and system providing temporal-spatial prediction of load demand
US10843586B2 (en) * 2018-05-25 2020-11-24 King Fahd University Of Petroleum And Minerals Optimal dispatch of electric vehicles performing V2G regulation
CN109050284B (en) * 2018-07-09 2020-06-09 华中科技大学 Electric automobile charging and discharging electricity price optimization method considering V2G
DE102018211633A1 (en) * 2018-07-12 2020-01-16 Triathlon Holding GmbH Method and device for charging electrical energy storage devices
KR102621905B1 (en) * 2018-08-20 2024-01-05 현대자동차주식회사 System and Method for reservation charge of electric vehicle
KR102626252B1 (en) * 2018-09-10 2024-01-17 현대자동차주식회사 Vehicle condition monitoring and diagnosis method and system using charger
FR3087055B1 (en) * 2018-10-04 2021-06-18 Voltalis ESTIMATE OF A PHYSICAL QUANTITY BY A DISTRIBUTED MEASUREMENT SYSTEM
DE102018125670A1 (en) * 2018-10-16 2020-04-16 Elektro-Bauelemente Gmbh Supply station for electrically operated vehicles and operating methods therefor
US10900687B2 (en) 2018-10-31 2021-01-26 Trane International Inc. Flexible scheduling HVAC graphical user interface and methods of use thereof
US11025089B2 (en) * 2018-11-13 2021-06-01 Siemens Aktiengesellschaft Distributed energy resource management system
US20220041069A1 (en) * 2018-11-29 2022-02-10 Electrans Technologies Ltd. Fuel efficiency optimization apparatus and method for hybrid tractor trailer vehicles
EP3680125A1 (en) * 2019-01-10 2020-07-15 FRONIUS INTERNATIONAL GmbH Device and method for charging an electric vehicle
JP6814233B2 (en) 2019-01-17 2021-01-13 本田技研工業株式会社 Cables, power transmission / reception management systems, management devices and programs
JP7003297B2 (en) * 2019-01-17 2022-01-20 本田技研工業株式会社 Power transmission / reception management device and program
JP7065212B2 (en) * 2019-01-17 2022-05-11 本田技研工業株式会社 Power transmission / reception management device and program
US20220121260A1 (en) * 2019-01-22 2022-04-21 Dmk Nano Llc Power distribution management based on distributed networking protocol analytics
US11641177B2 (en) 2019-02-08 2023-05-02 8Me Nova, Llc Coordinated control of renewable electric generation resource and charge storage device
WO2020172100A1 (en) 2019-02-18 2020-08-27 Nikola Corporation Communication systems and methods for hydrogen fueling and electric charging
DE102019106341A1 (en) * 2019-03-13 2020-09-17 Dr. Ing. H.C. F. Porsche Aktiengesellschaft Method and device for energy management for an electric vehicle charging system
US20200307402A1 (en) * 2019-03-28 2020-10-01 Nuvve Corporation Multi-technology grid regulation service
JP6896793B2 (en) * 2019-05-27 2021-06-30 本田技研工業株式会社 Information processing device
US11247571B2 (en) * 2019-11-18 2022-02-15 GM Global Technology Operations LLC Intelligent energy management system for a vehicle and corresponding method
JP7404917B2 (en) * 2020-02-14 2023-12-26 トヨタ自動車株式会社 Power management system, power management method, and power management device
DE102020106292A1 (en) 2020-03-09 2021-09-09 Bayerische Motoren Werke Aktiengesellschaft Method and device for providing charging information
US11571983B2 (en) 2020-03-17 2023-02-07 Toyota Motor North America, Inc. Distance-based energy transfer from a transport
US11618329B2 (en) 2020-03-17 2023-04-04 Toyota Motor North America, Inc. Executing an energy transfer directive for an idle transport
US11552507B2 (en) 2020-03-17 2023-01-10 Toyota Motor North America, Inc. Wirelessly notifying a transport to provide a portion of energy
US11685283B2 (en) 2020-03-17 2023-06-27 Toyota Motor North America, Inc. Transport-based energy allocation
US11890952B2 (en) 2020-03-17 2024-02-06 Toyot Motor North America, Inc. Mobile transport for extracting and depositing energy
JP7369655B2 (en) * 2020-03-27 2023-10-26 本田技研工業株式会社 power calculation device
US11571984B2 (en) 2020-04-21 2023-02-07 Toyota Motor North America, Inc. Load effects on transport energy
US11820249B2 (en) * 2020-04-30 2023-11-21 Bayerische Motoren Werke Aktiengesellschaft Managing the charging of a fleet of vehicles to align with a renewable energy supply curve for an electric grid
US11661029B2 (en) * 2020-06-24 2023-05-30 TWS Technology(Guangzhou) Limited Authentication between battery management system (BMS) and battery host platform
US11642977B2 (en) * 2020-07-09 2023-05-09 Weave Grid, Inc. Optimized charging of electric vehicles over distribution grid
CN116195158A (en) * 2020-08-11 2023-05-30 安泊半导体公司 Intelligent energy monitoring and selecting control system
US11685281B2 (en) 2020-11-10 2023-06-27 FlexCharging, Inc. Demand flexibility optimizing scheduler for EV charging and controlling appliances
US20220194255A1 (en) * 2020-12-22 2022-06-23 Ford Global Technologies, Llc System for selecting electric vehicle charging power
WO2022145024A1 (en) * 2020-12-29 2022-07-07 三菱電機株式会社 Charging/discharging control device and charging/discharging control method
US11623540B2 (en) 2021-01-13 2023-04-11 Toyota Motor North America, Inc. Transport recharge level determination
NL2027353B1 (en) * 2021-01-20 2022-07-28 Greenflux Assets B V Methods and systems for allocating charging resources to electric vehicles
JP7447833B2 (en) * 2021-01-28 2024-03-12 トヨタ自動車株式会社 Power management device and power management method
US11554684B2 (en) * 2021-02-17 2023-01-17 AMPLY Power, Inc. Aggregating capacity for depot charging
US20220305942A1 (en) * 2021-03-23 2022-09-29 Honda Motor Co., Ltd. System and method for scheduling electric charging for vehicles
US11884173B2 (en) * 2021-03-29 2024-01-30 Siemens Industry, Inc. Network-based energy management of electric vehicle (EV) charging network infrastructure
US11724613B2 (en) 2021-05-18 2023-08-15 Toyota Motor North America, Inc. Energy transfer based on intended use
US11705727B2 (en) * 2021-09-08 2023-07-18 8Me Nova, Llc Methods and systems for automatic generation control of renewable energy resources
US20230115083A1 (en) * 2021-10-13 2023-04-13 Fermata Energy Llc Methods of using bidirectional charging to supply back-up power and increase resiliency of powered networks
US11747781B1 (en) 2022-03-21 2023-09-05 Nuvve Corporation Intelligent local energy management system at local mixed power generating sites for providing grid services
US11760224B1 (en) * 2022-08-03 2023-09-19 Electric Era Technologies, Inc. Vehicle charging system
CN115619202B (en) * 2022-12-19 2023-03-31 西南交通大学 Cross mixing method for seat distribution pool of high-speed railway train

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6882904B1 (en) * 2000-12-29 2005-04-19 Abb Technology Ag Communication and control network for distributed power resource units
US20080319893A1 (en) * 2000-08-25 2008-12-25 Governing Dynamics, Llc Intelligent Routing Of Electric Power
US20110063126A1 (en) * 2008-02-01 2011-03-17 Energyhub Communications hub for resource consumption management

Family Cites Families (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000113400A (en) * 1998-09-30 2000-04-21 Honda Motor Co Ltd Automatic tracking travel system
US6278898B1 (en) * 1999-04-07 2001-08-21 Voyan Technology Model error bounds for identification of stochastic models for control design
EP1576528A4 (en) * 2002-10-09 2011-05-18 California Inst Of Techn Sensor web
JP2006287705A (en) * 2005-04-01 2006-10-19 Matsushita Electric Ind Co Ltd Communication system, information communication device for vehicle and indoor information processing device
US20070203860A1 (en) * 2006-02-24 2007-08-30 Gridpoint, Inc. Energy budget manager
US20070282495A1 (en) * 2006-05-11 2007-12-06 University Of Delaware System and method for assessing vehicle to grid (v2g) integration
US7747739B2 (en) * 2006-08-10 2010-06-29 Gridpoint, Inc. Connection locator in a power aggregation system for distributed electric resources
US20080040263A1 (en) * 2006-08-10 2008-02-14 V2 Green, Inc. Business Methods in a Power Aggregation System for Distributed Electric Resources
US20090040029A1 (en) * 2006-08-10 2009-02-12 V2Green, Inc. Transceiver and charging component for a power aggregation system
US7949435B2 (en) * 2006-08-10 2011-05-24 V2Green, Inc. User interface and user control in a power aggregation system for distributed electric resources
US20080039979A1 (en) * 2006-08-10 2008-02-14 V2 Green Inc. Smart Islanding and Power Backup in a Power Aggregation System for Distributed Electric Resources
US20090066287A1 (en) * 2006-08-10 2009-03-12 V2Green, Inc. Business Methods in a Power Aggregation System for Distributed Electric Resources
US20080052145A1 (en) * 2006-08-10 2008-02-28 V2 Green, Inc. Power Aggregation System for Distributed Electric Resources
US20090043520A1 (en) * 2006-08-10 2009-02-12 V2Green, Inc. User Interface and User Control in a Power Aggregation System for Distributed Electric Resources
US20080040296A1 (en) * 2006-08-10 2008-02-14 V2 Green Inc. Electric Resource Power Meter in a Power Aggregation System for Distributed Electric Resources
US7844370B2 (en) * 2006-08-10 2010-11-30 Gridpoint, Inc. Scheduling and control in a power aggregation system for distributed electric resources
US20080040223A1 (en) * 2006-08-10 2008-02-14 V2 Green Inc. Electric Resource Module in a Power Aggregation System for Distributed Electric Resources
US20090043519A1 (en) * 2006-08-10 2009-02-12 V2Green, Inc. Electric Resource Power Meter in a Power Aggregation System for Distributed Electric Resources
US20080040295A1 (en) * 2006-08-10 2008-02-14 V2 Green, Inc. Power Aggregation System for Distributed Electric Resources
US8898278B2 (en) * 2006-08-10 2014-11-25 Gridpoint, Inc. Connection locator in a power aggregation system for distributed electric resources
CN101150259B (en) * 2006-09-18 2010-05-12 比亚迪股份有限公司 Electric car charging system
JP4352078B2 (en) * 2007-03-28 2009-10-28 三菱電機株式会社 In-vehicle electronic control unit power supply control circuit
EP2147359A2 (en) * 2007-05-09 2010-01-27 Gridpoint, Inc. Method and system for scheduling the discharge of distributed power storage devices and for levelizing dispatch participation
WO2009036439A2 (en) * 2007-09-13 2009-03-19 Gridpoint, Inc. User interface for demand side energy management
US8000913B2 (en) * 2008-01-21 2011-08-16 Current Communications Services, Llc System and method for providing power distribution system information
US7937247B2 (en) * 2008-08-12 2011-05-03 Square D Company Virtual metering
US20100145885A1 (en) * 2008-12-05 2010-06-10 Lava Four, Llc System for on-board metering of recharging energy consumption in vehicles equipped with electrically powered propulsion systems
US20100145837A1 (en) * 2008-12-05 2010-06-10 Lava Four, Llc Network for authentication, authorization, and accounting of recharging processes for vehicles equipped with electrically powered propulsion systems
US20100141203A1 (en) * 2008-12-05 2010-06-10 Lava Four, Llc Self-identifying power source for use in recharging vehicles equipped with electrically powered propulsion systems
US8106627B1 (en) * 2008-12-15 2012-01-31 Comverge, Inc. Method and system for co-operative charging of electric vehicles
US20110001356A1 (en) * 2009-03-31 2011-01-06 Gridpoint, Inc. Systems and methods for electric vehicle grid stabilization

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080319893A1 (en) * 2000-08-25 2008-12-25 Governing Dynamics, Llc Intelligent Routing Of Electric Power
US6882904B1 (en) * 2000-12-29 2005-04-19 Abb Technology Ag Communication and control network for distributed power resource units
US20110063126A1 (en) * 2008-02-01 2011-03-17 Energyhub Communications hub for resource consumption management

Cited By (97)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11022995B2 (en) 2007-08-28 2021-06-01 Causam Enterprises, Inc. Method and apparatus for actively managing consumption of electric power over an electric power grid
US11733726B2 (en) 2007-08-28 2023-08-22 Causam Enterprises, Inc. System, method, and apparatus for actively managing consumption of electric power supplied by one or more electric power grid operators
US10303194B2 (en) 2007-08-28 2019-05-28 Causam Energy, Inc System, method, and apparatus for actively managing consumption of electric power supplied by one or more electric power grid operators
US10394268B2 (en) 2007-08-28 2019-08-27 Causam Energy, Inc. Method and apparatus for actively managing consumption of electric power over an electric power grid
US11650612B2 (en) 2007-08-28 2023-05-16 Causam Enterprises, Inc. Method and apparatus for actively managing consumption of electric power over an electric power grid
US10833504B2 (en) 2007-08-28 2020-11-10 Causam Energy, Inc. Systems and methods for determining and utilizing customer energy profiles for load control for individual structures, devices, and aggregation of same
US9766644B2 (en) 2007-08-28 2017-09-19 Causam Energy, Inc. System, method, and apparatus for actively managing consumption of electric power supplied by one or more electric power grid operators
US9678522B2 (en) 2007-08-28 2017-06-13 Causam Energy, Inc. Method and apparatus for actively managing consumption of electric power over an electric power grid
US10985556B2 (en) 2007-08-28 2021-04-20 Causam Energy, Inc. Systems and methods for determining and utilizing customer energy profiles for load control for individual structures, devices, and aggregation of same
US11119521B2 (en) 2007-08-28 2021-09-14 Causam Enterprises, Inc. System, method, and apparatus for actively managing consumption of electric power supplied by one or more electric power grid operators
US11676079B2 (en) 2009-05-08 2023-06-13 Causam Enterprises, Inc. System and method for generating and providing dispatchable operating reserve energy capacity through use of active load management
US9665917B2 (en) * 2010-05-25 2017-05-30 Mitsubishi Electric Corporation Electric power information management apparatus, electric power information management system, and electric power information management method
US20150317755A1 (en) * 2010-05-25 2015-11-05 Mitsubishi Electric Corporation Electric power information management apparatus, electric power information management system, and electric power information management method
US8841881B2 (en) 2010-06-02 2014-09-23 Bryan Marc Failing Energy transfer with vehicles
US10124691B1 (en) 2010-06-02 2018-11-13 Bryan Marc Failing Energy transfer with vehicles
US9114719B1 (en) 2010-06-02 2015-08-25 Bryan Marc Failing Increasing vehicle security
US11186192B1 (en) 2010-06-02 2021-11-30 Bryan Marc Failing Improving energy transfer with vehicles
US9393878B1 (en) 2010-06-02 2016-07-19 Bryan Marc Failing Energy transfer with vehicles
US8725330B2 (en) 2010-06-02 2014-05-13 Bryan Marc Failing Increasing vehicle security
US8710372B2 (en) 2010-07-23 2014-04-29 Blink Acquisition, LLC Device to facilitate moving an electrical cable of an electric vehicle charging station and method of providing the same
US8595122B2 (en) 2010-07-23 2013-11-26 Electric Transportation Engineering Corporation System for measuring electricity and method of providing and using the same
US20120161692A1 (en) * 2010-12-24 2012-06-28 Hitachi Automotive Systems, Ltd. Charging control system
US10228265B2 (en) 2011-04-22 2019-03-12 Melrok, Llc Systems and methods to manage and control renewable distributed energy resources
US10768015B2 (en) 2011-04-22 2020-09-08 Melrok, Llc Systems and methods to manage and control energy management systems
US9909901B2 (en) * 2011-04-22 2018-03-06 Melrok, Llc Systems and methods to manage and control renewable distributed energy resources
US20160028275A1 (en) * 2011-04-22 2016-01-28 Melrok, Llc Systems and methods to manage and control renewable distributed energy resources
US11670959B2 (en) 2011-04-22 2023-06-06 Melrok, Llc Systems and methods to manage and control energy management systems
US10846763B2 (en) 2011-10-19 2020-11-24 Zeco Systems Ptd Ltd. Methods and apparatuses for charging of electric vehicles
US11715138B2 (en) 2011-10-19 2023-08-01 Zeco Systems Pte Ltd. Methods and systems for charging of electric vehicles
US10192245B2 (en) 2011-10-19 2019-01-29 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US10872361B2 (en) 2011-10-19 2020-12-22 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US10210552B2 (en) 2011-10-19 2019-02-19 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US10185978B2 (en) 2011-10-19 2019-01-22 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US11756086B2 (en) 2011-10-19 2023-09-12 Zeco Systems Pte Ltd. Methods and systems for charging of electric vehicles
US11756087B2 (en) 2011-10-19 2023-09-12 Zeco Systems Pte Ltd. Systems and methods for charging of electric vehicles with charge balancing between multiple electric vehicle charging stations
US10169783B2 (en) 2011-10-19 2019-01-01 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US11748788B2 (en) 2011-10-19 2023-09-05 Zeco Systems Pte Ltd. Methods and systems for determining the availability of an electric vehicle charging station
US9348381B2 (en) 2011-10-19 2016-05-24 Zeco Systems Pte Ltd Methods and apparatuses for charging of electric vehicles
US10861066B2 (en) 2011-10-19 2020-12-08 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US11715136B2 (en) 2011-10-19 2023-08-01 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US10839433B2 (en) 2011-10-19 2020-11-17 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US10185977B2 (en) 2011-10-19 2019-01-22 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US10586258B2 (en) 2011-10-19 2020-03-10 Zeco Systems Pte Ltd. Methods and apparatuses for charging of electric vehicles
US8384359B2 (en) 2011-10-21 2013-02-26 General Electric Company System, charging device, and method of charging a power storage device
US8358102B2 (en) 2011-10-21 2013-01-22 General Electric Company System, charging device, and method of charging a power storage device
US10545525B2 (en) 2011-11-28 2020-01-28 Melrok, Llc Self-driving building energy engine
US11275396B2 (en) 2011-11-28 2022-03-15 Melrok, Llc Method and apparatus to assess and control energy efficiency of fan installed in facility of building systems
US11860661B2 (en) 2011-11-28 2024-01-02 Melrok, Llc Method and apparatus to assess and control energy efficiency of pump installed in facility of building systems
US9045042B2 (en) 2012-04-13 2015-06-02 Toyota Motor Engineering & Manufacturing North America, Inc. System and method for a one-time departure schedule setup for charging battery-electric vehicles
US9248838B2 (en) 2012-04-13 2016-02-02 Toyota Motor Engineering & Manufacturing North America, Inc. System and method for a one-time departure schedule setup for charging battery-electric vehicles
US9831677B2 (en) * 2012-07-19 2017-11-28 Solarcity Corporation Software abstraction layer for energy generation and storage systems
US10277031B2 (en) 2012-07-19 2019-04-30 Solarcity Corporation Systems for provisioning energy generation and storage systems
US20140025215A1 (en) * 2012-07-19 2014-01-23 Solarcity Corporation Software abstraction layer for energy generation and storage systems
US11307602B2 (en) 2012-07-31 2022-04-19 Causam Enterprises, Inc. System, method, and data packets for messaging for electric power grid elements over a secure internet protocol network
US11782471B2 (en) 2012-07-31 2023-10-10 Causam Enterprises, Inc. System, method, and data packets for messaging for electric power grid elements over a secure internet protocol network
US10998764B2 (en) 2012-07-31 2021-05-04 Causam Enterprises, Inc. System, method, and apparatus for electric power grid and network management of grid elements
US11774996B2 (en) 2012-07-31 2023-10-03 Causam Enterprises, Inc. System, method, and apparatus for electric power grid and network management of grid elements
US10861112B2 (en) 2012-07-31 2020-12-08 Causam Energy, Inc. Systems and methods for advanced energy settlements, network-based messaging, and applications supporting the same on a blockchain platform
US11747849B2 (en) 2012-07-31 2023-09-05 Causam Enterprises, Inc. System, method, and apparatus for electric power grid and network management of grid elements
US10310534B2 (en) 2012-07-31 2019-06-04 Causam Energy, Inc. System, method, and data packets for messaging for electric power grid elements over a secure internet protocol network
US11681317B2 (en) 2012-07-31 2023-06-20 Causam Enterprises, Inc. System, method, and data packets for messaging for electric power grid elements over a secure internet protocol network
US8588991B1 (en) * 2012-07-31 2013-11-19 Causam Holdings, LLC System, method, and apparatus for electric power grid and network management of grid elements
US10852760B2 (en) 2012-07-31 2020-12-01 Causam Enterprises, Inc. System, method, and data packets for messaging for electric power grid elements over a secure internet protocol network
US11650613B2 (en) 2012-07-31 2023-05-16 Causam Enterprises, Inc. System, method, and apparatus for electric power grid and network management of grid elements
US10985609B2 (en) 2012-07-31 2021-04-20 Causam Enterprises, Inc. System, method, and apparatus for electric power grid and network management of grid elements
US10523050B2 (en) 2012-07-31 2019-12-31 Causam Energy, Inc. System, method, and apparatus for electric power grid and network management of grid elements
US11501389B2 (en) 2012-07-31 2022-11-15 Causam Enterprises, Inc. Systems and methods for advanced energy settlements, network-based messaging, and applications supporting the same on a blockchain platform
US11270392B2 (en) 2012-10-24 2022-03-08 Causam Exchange, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US11816744B2 (en) 2012-10-24 2023-11-14 Causam Exchange, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US11288755B2 (en) 2012-10-24 2022-03-29 Causam Exchange, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US11823292B2 (en) 2012-10-24 2023-11-21 Causam Enterprises, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US11803921B2 (en) 2012-10-24 2023-10-31 Causam Exchange, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US11263710B2 (en) 2012-10-24 2022-03-01 Causam Exchange, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US11195239B2 (en) 2012-10-24 2021-12-07 Causam Enterprises, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US11798103B2 (en) 2012-10-24 2023-10-24 Causam Exchange, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US10521868B2 (en) 2012-10-24 2019-12-31 Causam Energy, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US10529037B2 (en) 2012-10-24 2020-01-07 Causam Energy, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US10497074B2 (en) 2012-10-24 2019-12-03 Causam Energy, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US10497073B2 (en) 2012-10-24 2019-12-03 Causam Energy, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US9937811B2 (en) 2013-07-19 2018-04-10 Ford Global Technologies, Llc Vehicle authentication for a BEV charger
US20150120069A1 (en) * 2013-09-23 2015-04-30 Infosys Limited Systems and methods for effective selection of disparate distributed power sources for smart grid
US9599976B2 (en) * 2013-09-23 2017-03-21 Infosys Limited Systems and methods for effective selection of disparate distributed power sources for smart grid
US20170331570A1 (en) * 2014-12-25 2017-11-16 Kyocera Corporation Power management system, relay apparatus, and power management method
US11004160B2 (en) 2015-09-23 2021-05-11 Causam Enterprises, Inc. Systems and methods for advanced energy network
US10195956B2 (en) 2017-06-02 2019-02-05 United Arab Emirates University Secure charging method for electric vehicles
CN109703389A (en) * 2019-01-17 2019-05-03 北京理工新源信息科技有限公司 Knee net integration charging schedule device and method based on new energy bus
US11135936B2 (en) 2019-03-06 2021-10-05 Fermata, LLC Methods for using temperature data to protect electric vehicle battery health during use of bidirectional charger
US11745604B2 (en) 2020-05-08 2023-09-05 Rivian Ip Holdings, Llc Electric vehicle charging dispenser and method
US20210347273A1 (en) * 2020-05-08 2021-11-11 Rivian Ip Holdings, Llc Electric vehicle charging system and method
US11628739B2 (en) 2020-05-08 2023-04-18 Rivian Ip Holdings, Llc Electric vehicle fleet charging system and method
US11453298B2 (en) 2020-05-08 2022-09-27 Rivian Ip Holdings, Llc Electric vehicle charging dispenser and method
US11565601B2 (en) * 2020-05-08 2023-01-31 Rivian Ip Holdings, Llc Electric vehicle charging system and method
US11868927B2 (en) 2020-05-08 2024-01-09 Rivian Ip Holdings, Llc Electric vehicle charging system and method
US11890951B2 (en) 2020-05-08 2024-02-06 Rivian Ip Holdings, Llc Electric vehicle charging system and method utilizing a dispenser chain
US11958372B2 (en) 2020-11-23 2024-04-16 Fermata Energy Llc Device for bi-directional power conversion and charging for use with electric vehicles
US11958376B2 (en) 2021-08-27 2024-04-16 Fermata Energy Llc Methods for using cycle life data to protect electric vehicle battery health during use of bidirectional charger
EP4325689A1 (en) * 2022-07-13 2024-02-21 STILL GmbH Charging device for charging a rechargeable battery

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