CN105244966A - Intelligent charging system and method for electric vehicle based on quantified work statistical method - Google Patents
Intelligent charging system and method for electric vehicle based on quantified work statistical method Download PDFInfo
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- CN105244966A CN105244966A CN201510736144.8A CN201510736144A CN105244966A CN 105244966 A CN105244966 A CN 105244966A CN 201510736144 A CN201510736144 A CN 201510736144A CN 105244966 A CN105244966 A CN 105244966A
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- 238000007619 statistical method Methods 0.000 title abstract 3
- 238000004364 calculation method Methods 0.000 claims abstract description 16
- 238000013480 data collection Methods 0.000 claims description 14
- 238000013500 data storage Methods 0.000 claims description 7
- 230000003993 interaction Effects 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 238000011002 quantification Methods 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 abstract description 2
- 238000013179 statistical model Methods 0.000 abstract 1
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Classifications
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems 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]
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- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
Abstract
The invention discloses an intelligent charging system and method for an electric vehicle based on a quantified work statistical method. A data acquisition terminal acquires and summarizes data of intelligent charging equipment and uploads the data to a front server, an application server acquires charging operation data from a storage device database, and current idle charging station and remaining charging completion time are obtained by comprehensive analysis and calculation of the data. A user quantifies work and life and then inputs data to a data calculation server, the calculation device measures the driving habit and the driving time of the user according to a quantifying statistical model and a quantified value data calculated on the basis of the quantified work statistical method, and the system can reasonably arrange charging of user's vehicle according to the driving time.
Description
Technical field
The present invention relates to a kind of Intelligent charging system of electric automobile and method based on quantizing work statistic method.
Background technology
Build charging electric vehicle facility and the intelligent cooperation control realizing its operational management is the indispensable external condition that electric automobile enters family market, for electric automobile fast, safety, easily charging modes becomes the research emphasis of current charging electric vehicle business development.But still there is following problem in existing charging modes:
1) charging waits for too long, and client can not the overall arrangement charging interval.Client finds that when needing to use car the electricity of vehicle is not enough, thinks charging but has not had time enough to complete.
2) user be on duty or rest time, do not have again suitable charging station during this period of time, even if there is charging station user also not think, waste working or time of having a rest go charging.
3) user can not give charging electric vehicle in time.Due to allegro life style, a lot of user forgets or can not in time to Vehicular charging.
Summary of the invention
The present invention is in order to solve the problem, and propose a kind of Intelligent charging system of electric automobile and method based on quantizing work statistic method, this method can effectively reduce user and charge the stand-by period.
To achieve these goals, the present invention adopts following technical scheme:
Based on the Intelligent charging system of electric automobile quantizing work statistic method, comprise handheld terminal, Operation Centre, electric automobile and charging device; Wherein, described handheld terminal communicates with Operation Centre, the information that receiving center system sends and the power-off of control electric automobile, and Operation Centre controls charging device work, and charging device is charging electric vehicle;
Operation Centre of telling, comprise front server, data calculation server, application server and data storage, described front server comprises at least one the server for charging device data acquisition, for obtaining the intelligent charge equipment operating data that data collection station collects;
Described data calculation server comprises at least one for quantizing the server that work statistic calculates, for calculating in user one day or the plan of one week interior Working Life;
Described data storage comprises at least one relational database server and at least one live database server, the data that described relational database is used for storing subscriber information, user's historical statistical data, quantitative statistics model and calculates based on quantification work statistic method, described real-time data base is for storing charging device real time charging data;
Described application server comprises at least one the server for delivery system application program.
Described charging device is carry out remote control to power on and the Intelligent charging spot of power-off.
Described charging device connection data acquisition terminal, data collection station connects front server, and the data of described data collection station collection include but not limited to: the charged state of intelligent charge equipment, charging voltage, charging current, charging interval, battery capacity and SOC.
Described application server and handheld terminal carry out data interaction by mobile network; Described front server and data collection station carry out data interaction by network, RS485 bus or CAN mode.
Based on a charging method for above-mentioned Intelligent charging system of electric automobile, comprise the following steps:
(1) electric automobile user is by the whether available free charging station of user's handheld terminal inquiry intelligent charge equipment nearby, or etc. stand-by period to be charged, user selects suitable charging station and charging reservation instruction is sent to Operation Centre;
(2), after Operation Centre receives charging reservation, the state of this charging station is set to and preengages;
(3) the data calculation server at system cloud gray model center obtains the plan information of the Working Life of user according to user ID, judge the time of using cars of user or the quantized result by car custom according to this information, system can arrange the charging time started of user's vehicle according to quantized result;
(4) connection charging device and electric automobile charge, and user profile is sent to Operation Centre by charging device;
(5) after Operation Centre receives user profile, charging timing mode is started according to user's Vehicular charging time started that previous quantized result obtains, metering and billing pattern is started after arrival starts the charging interval, and charging instruction is sent to intelligent charge equipment, charging device starts charge mode;
(6) calculate charged state, the remaining capacity SOC of this electric automobile by data calculation server after front server obtains charging real time data and charge remaining time, and the information storage after calculating is had access to inquiry for user's handheld terminal;
(7) charging electric vehicle terminates the instruction that rear automatic startup stops charging, and the instruction of charging end is sent to Operation Centre, and the expense just calculating charging generation after the instruction that this receive centre terminates to charging sends to vehicle user.
In described step (3), modeling is carried out for electric automobile user, electric automobile, real time data, user behavior logic and Consumer's Experience quantitative model, by arranging the information of each user, charging device, vehicle, user's daily behavior, extract characteristic behavior and attribute, build model framework, complete the modeling work of various key object.
In described step (3), user profile comprises class of subscriber, quantity, distributed areas, zone of action, work plan and arrangement of time, model comprises the residue charge position information of real time data, the attribute information of electrically-charging equipment and charging/stand-by period information, model comprises Vehicular battery type, capacity, unit mileage power consumption, charge type and traveling rule attribute, and what model comprised user's daily behavior is, charging behavior and behavior on and off duty with garage.
In described step (4), charging device gathers license board information and the remaining capacity SOC information of electric automobile by CAN, get user profile and calculate and obtain the required charging interval, and user profile is sent to system cloud gray model center by power private network.
In described step (6), data collection station starts to gather charging device charged state now, charging voltage, charging current, charging interval, battery capacity, SOC and charging device other measurement data available by RS485 bus, and by these data by mobile APN network delivery to system cloud gray model center.
In described step (6), the data of Operation Centre have access to inquiry by the mode of mobile network for user's handheld terminal.
Beneficial effect of the present invention is:
(1) long-time without the need to waiting for, save the time of user greatly, adapt to modern allegro life style, simplify operating process, convenient to use;
(2) implement national energy-saving better and reduce discharging policy, improve the reasonable employment that is quick, safe, charging modes easily of electric automobile;
(3) the daily routines data for particular customer carry out continuous acquisition; by utilizing these type of data and special computational algorithm; detailed, that there is predictability model can be set up for the behavior of people and people; a statistic analysis result quantized is carried out to the work of client and the behavior of life; allow Intelligent charging system of electric automobile draw user according to the result analyzed what next step will do, thus better selection is made to the charging modes of this electric automobile and charging interval.
Accompanying drawing explanation
Fig. 1 is the electric automobile intelligence quick charge device structural representation be arranged on urban road;
Wherein, 1. system cloud gray model center, 2. front server, 3. data calculation server, 4. data storage, 5. application server, 6. intelligent charge equipment, 7. electric automobile, 8. data collection station, 9. user's handheld terminal, 10.RS485 bus, 11. move APN network, 12. mobile networks, 13.CAN bus.
Embodiment:
Below in conjunction with accompanying drawing and embodiment, the invention will be further described.
As shown in Figure 1, a kind of Intelligent charging system of electric automobile based on quantizing work statistic method comprises: system cloud gray model center 1, intelligent charge equipment 6, data collection station 8, user's handheld terminal 9.
Electric automobile 7 user inquires about the whether available free charging station of intelligent charge equipment 6 nearby by user's handheld terminal 9, or etc. stand-by period to be charged, user selects suitable charging station and charging reservation instruction is sent to system cloud gray model center 1.
The state of this charging station is set to and preengages after receiving charging reservation by system cloud gray model center 1.
The data calculation server 3 at system cloud gray model center 1 obtains the plan information of the Working Life of user according to user ID, the time of using cars of user is judged or by quantized result such as car customs, system can arrange the charging time started of user's vehicle according to quantized result according to this information.
Intelligent charge equipment 6 is plugged on electric automobile 7 after reaching charging station by user.Intelligent charge equipment 6 gathers license board information and the remaining capacity SOC information of electric automobile 7 by CAN 13, gets user profile and calculate to obtain the required charging interval, and user profile is sent to system cloud gray model center 1 by power private network.
After system cloud gray model center 1 receives user profile, charging timing mode is started according to user's Vehicular charging time started that previous quantized result obtains, metering and billing pattern is started after arrival starts the charging interval, and charging instruction is sent to intelligent charge equipment 6, charging device starts charge mode.
Data collection station 8 now starts to gather the charged state of intelligent charge equipment 6, charging voltage, charging current, charging interval, battery capacity, SOC and charging device other measurement data available by RS485 bus 10, and this partial data is passed to front server 2 by mobile APN network 11.
Charged state, the remaining capacity SOC of this electric automobile and the information such as remaining time of charging is calculated by data calculation server 3 after front server 2 receives charging real time data, and the information after calculating is stored in data storage 4, the data in this data storage 4 have access to inquiry by the mode of mobile network 12 for user's handheld terminal 9.
Electric automobile 7 charging terminates the instruction that rear automatic startup stops charging, and the instruction that charging terminates is sent to system cloud gray model center 1.Just the expense calculating charging generation after this receive centre to the instruction of charging end sends to vehicle user.
Electric automobile user by the whether available free charging station of user's handheld terminal inquiry intelligent charge equipment nearby, or etc. stand-by period to be charged, user selects suitable charging station and charging reservation instruction is sent to system cloud gray model center.
After system cloud gray model receive centre to charging reservation, the state of this charging station is set to and preengages.
The data calculation server at system cloud gray model center obtains the plan information of the Working Life of user according to user ID, the time of using cars of user is judged or by quantized result such as car customs, system can arrange the charging time started of user's vehicle according to quantized result according to this information.
Charging device is plugged on electric automobile after reaching charging station by user.Intelligent charge equipment gathers license board information and the remaining capacity SOC information of electric automobile by CAN, gets user profile and calculate to obtain the required charging interval, and user profile is sent to system cloud gray model center by power private network.
After system cloud gray model receive centre to user profile, charging timing mode is started according to user's Vehicular charging time started that previous quantized result obtains, metering and billing pattern is started after arrival starts the charging interval, and charging instruction is sent to intelligent charge equipment, charging device starts charge mode.
Data collection station now starts to gather the charged state of charging device, charging voltage, charging current, charging interval, battery capacity, SOC and charging device other measurement data available by RS485 bus, and by this partial data by mobile APN network delivery to front server.
Charged state, the remaining capacity SOC of this electric automobile and the information such as remaining time of charging is calculated by data calculation server after front server receives charging real time data, and the information after calculating is stored in relational database or real-time data base, the data in this database have access to inquiry by the mode of mobile network for user's handheld terminal.
Charging electric vehicle terminates the instruction that rear automatic startup stops charging, and the instruction that charging terminates is sent to system cloud gray model center.Just the expense calculating charging generation after this receive centre to the instruction of charging end sends to vehicle user.
By reference to the accompanying drawings the specific embodiment of the present invention is described although above-mentioned; but not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various amendment or distortion that creative work can make still within protection scope of the present invention.
Claims (10)
1., based on the Intelligent charging system of electric automobile quantizing work statistic method, it is characterized in that: comprise handheld terminal, Operation Centre, electric automobile and charging device; Wherein, described handheld terminal communicates with Operation Centre, the information that receiving center system sends and the power-off of control electric automobile, and Operation Centre controls charging device work, and charging device is charging electric vehicle;
Operation Centre of telling, comprise front server, data calculation server, application server and data storage, described front server comprises at least one the server for charging device data acquisition, for obtaining the intelligent charge equipment operating data that data collection station collects;
Described data calculation server comprises at least one for quantizing the server that work statistic calculates, for calculating in user one day or the plan of one week interior Working Life;
Described data storage comprises at least one relational database server and at least one live database server, the data that described relational database is used for storing subscriber information, user's historical statistical data, quantitative statistics model and calculates based on quantification work statistic method, described real-time data base is for storing charging device real time charging data;
Described application server comprises at least one the server for delivery system application program.
2. a kind of Intelligent charging system of electric automobile based on quantizing work statistic method as claimed in claim 1, is characterized in that: described charging device is carry out remote control to power on and the Intelligent charging spot of power-off.
3. a kind of Intelligent charging system of electric automobile based on quantizing work statistic method as claimed in claim 1, it is characterized in that: described charging device connection data acquisition terminal, data collection station connects front server, and the data of described data collection station collection include but not limited to: the charged state of intelligent charge equipment, charging voltage, charging current, charging interval, battery capacity and SOC.
4. a kind of Intelligent charging system of electric automobile based on quantizing work statistic method as claimed in claim 1, is characterized in that: described application server and handheld terminal carry out data interaction by mobile network; Described front server and data collection station carry out data interaction by network, RS485 bus or CAN mode.
5. based on a charging method for the Intelligent charging system of electric automobile according to any one of claim 1-4, it is characterized in that: comprise the following steps:
(1) electric automobile user is by the whether available free charging station of user's handheld terminal inquiry intelligent charge equipment nearby, or etc. stand-by period to be charged, user selects suitable charging station and charging reservation instruction is sent to Operation Centre;
(2), after Operation Centre receives charging reservation, the state of this charging station is set to and preengages;
(3) the data calculation server at system cloud gray model center obtains the plan information of the Working Life of user according to user ID, judge the time of using cars of user or the quantized result by car custom according to this information, system can arrange the charging time started of user's vehicle according to quantized result;
(4) connection charging device and electric automobile charge, and user profile is sent to Operation Centre by charging device;
(5) after Operation Centre receives user profile, charging timing mode is started according to user's Vehicular charging time started that previous quantized result obtains, metering and billing pattern is started after arrival starts the charging interval, and charging instruction is sent to intelligent charge equipment, charging device starts charge mode;
(6) calculate charged state, the remaining capacity SOC of this electric automobile by data calculation server after front server obtains charging real time data and charge remaining time, and the information storage after calculating is had access to inquiry for user's handheld terminal;
(7) charging electric vehicle terminates the instruction that rear automatic startup stops charging, and the instruction of charging end is sent to Operation Centre, and the expense just calculating charging generation after the instruction that this receive centre terminates to charging sends to vehicle user.
6. charging method as claimed in claim 5, it is characterized in that: in described step (3), modeling is carried out for electric automobile user, electric automobile, real time data, user behavior logic and Consumer's Experience quantitative model, by arranging the information of each user, charging device, vehicle, user's daily behavior, extract characteristic behavior and attribute, build model framework, complete the modeling work of various key object.
7. charging method as claimed in claim 6, it is characterized in that: in described step (3), user profile comprises class of subscriber, quantity, distributed areas, zone of action, work plan and arrangement of time, model comprises the residue charge position information of real time data, the attribute information of electrically-charging equipment and charging/stand-by period information, model comprises Vehicular battery type, capacity, unit mileage power consumption, charge type and traveling rule attribute, and what model comprised user's daily behavior is, charging behavior and behavior on and off duty with garage.
8. charging method as claimed in claim 5, it is characterized in that: in described step (4), charging device gathers license board information and the remaining capacity SOC information of electric automobile by CAN, get user profile and calculate and obtain the required charging interval, and user profile is sent to system cloud gray model center by power private network.
9. charging method as claimed in claim 5, it is characterized in that: in described step (6), data collection station starts to gather charging device charged state now, charging voltage, charging current, charging interval, battery capacity, SOC and charging device other measurement data available by RS485 bus, and by these data by mobile APN network delivery to system cloud gray model center.
10. charging method as claimed in claim 5, is characterized in that: in described step (6), and the data at center have access to inquiry by the mode of mobile network for user's handheld terminal.
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| CN201510736144.8A CN105244966B (en) | 2015-11-02 | 2015-11-02 | Based on the Intelligent charging system of electric automobile and method for quantifying work statistic method |
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Cited By (4)
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| CN108146280A (en) * | 2017-12-29 | 2018-06-12 | 王辰玮 | A kind of electric automobile charging station |
| CN110460130A (en) * | 2019-08-26 | 2019-11-15 | 北京字节跳动网络技术有限公司 | Charging method, device, system, terminal and storage medium |
| CN113085638A (en) * | 2021-05-08 | 2021-07-09 | 河北省海纳电测仪器股份有限公司 | Shared charging method and system |
| CN116976641A (en) * | 2023-08-31 | 2023-10-31 | 四川智能建造科技股份有限公司 | Intelligent dispatching pile matching method for electric engineering vehicle |
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Address after: Wang Yue Central Road Ji'nan City, Shandong province 250002 City No. 2000 Co-patentee after: National Network Intelligent Technology Co., Ltd. Patentee after: Electric Power Research Institute of State Grid Shandong Electric Power Company Co-patentee after: State Grid Corporation of China Address before: Wang Yue Central Road Ji'nan City, Shandong province 250002 City No. 2000 Co-patentee before: Shandong Luneng Intelligent Technology Co., Ltd. Patentee before: Electric Power Research Institute of State Grid Shandong Electric Power Company Co-patentee before: State Grid Corporation of China |
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Effective date of registration: 20210305 Address after: 250002 Wang Yue Road, Ji'nan City, Shandong Province, No. 2000 Patentee after: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Patentee after: Shandong Luneng Software Technology Co.,Ltd. intelligent electrical branch Patentee after: STATE GRID CORPORATION OF CHINA Address before: 250002 Wang Yue Road, Ji'nan City, Shandong Province, No. 2000 Patentee before: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Patentee before: National Network Intelligent Technology Co.,Ltd. Patentee before: STATE GRID CORPORATION OF CHINA |
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| CP01 | Change in the name or title of a patent holder | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 250002 Wang Yue Road, Ji'nan City, Shandong Province, No. 2000 Patentee after: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Patentee after: Shandong luruan Digital Technology Co.,Ltd. smart energy branch Patentee after: STATE GRID CORPORATION OF CHINA Address before: 250002 Wang Yue Road, Ji'nan City, Shandong Province, No. 2000 Patentee before: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER Co. Patentee before: Shandong Luneng Software Technology Co.,Ltd. intelligent electrical branch Patentee before: STATE GRID CORPORATION OF CHINA |