CN106427635B - A kind of electric car - Google Patents
A kind of electric car Download PDFInfo
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- CN106427635B CN106427635B CN201610953623.XA CN201610953623A CN106427635B CN 106427635 B CN106427635 B CN 106427635B CN 201610953623 A CN201610953623 A CN 201610953623A CN 106427635 B CN106427635 B CN 106427635B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/70—Interactions with external data bases, e.g. traffic centres
- B60L2240/72—Charging station selection relying on external data
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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
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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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
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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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
- Y02T90/14—Plug-in electric vehicles
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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
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention patent discloses a kind of electric car, electric car includes battery and path optimization system, path optimization system is communicated with communication with charging communication network, it is communicated between charging communication network and multiple vehicle charging stations with communication, when electric car needs to charge, the charge parameter information of electric car is transmitted to charging communication network using path optimization system, above- mentioned information are sent to multiple charging stations by charging communication network, after charging station receives information, feedback charging station is that the charging prediction information that the electric car provides is sent to electric car by the communication network that charges.Optimal charging scheme can be reasonably selected in conjunction with self-demand using path optimization system, reasonably select optimal traffic route and optimal charge station according to current automobile batteries state, line conditions, can save the time, charging expense can also be reduced.
Description
Technical field
The present invention relates to a kind of electric cars, and in particular to a kind of electric car comprising path optimization system.
Background technique
As the demand and consumption of fossil fuel constantly increase, energy shortages and environmental pollution have become countries in the world urgency
Problem to be solved, and electric car (Electric Vehicle, EV) is relied on and is driven by electricity, noise is low, and efficiency is high, and zero is dirty
Dye more can directly solve energy dependence, exhaust emissions and problem of environmental pollution than traditional fuel-engined vehicle.Its large-scale application is
Alleviate one of energy shortages, air environmental pollution and the most effective mode for realizing low-carbon economy.
However, including multiple charging stations on travel route when electric car charges, and each charging station can be provided
Charge power and charging unit price it is different, and a plurality of traffic route of the corresponding same destination is wrapped on every route
Containing multiple available charging stations, how from multiple charging stations on a plurality of driving route optimal charging station is selected, so that filling
The problem of electric most short always electric vehicle charging field of monovalent minimum or spent time.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, invent a kind of electronic vapour comprising path optimization system
Vehicle helps driver to select the optimal charging station on optimal traffic route and the route, and driver is helped to reduce money or time
Cost.
Technical solution provided by the invention are as follows: a kind of electric car, electric car include battery and path optimization system, road
Diameter optimization system is communicated with communication with charging communication network, charge between communication network and multiple vehicle charging stations with
Communication is communicated, when electric car needs to charge, using path optimization system by the charge parameter of electric car
Information is transmitted to charging communication network, and above- mentioned information are sent to multiple charging stations by charging communication network, after charging station receives information, instead
Feedback charging station is that the charging prediction information that the electric car provides is sent to electric car by the communication network that charges.
The charge parameter information of the electric car includes: the battery capacity of electric car, electric car internally-powered battery
Current SOC, allow charge power range, expectation charge period.Charging prediction information include: charge period, charge power and
Charge monovalent information.Path optimization system includes: charging instruction input module, available path determining module, charged state module,
Charging station selection and path selection module and display module.Charging instruction input module is for obtaining whether electric car needs to fill
The information of electricity, the charging instruction which can come from the charging instruction of user's input or automatically generated according to battery capacity.
Automobile current geographic position information and destination geographical location information are inputted its internal map and believed by available path determining module
Breath system determines from cartographic information system and travels from current location to all rides of destination, and the information is defeated
Enter to charging station selection and path selection module.Charged state module receives charging instruction from charging instruction input module
Afterwards, the current SOC state of battery is calculated according to battery status, and the power bracket for needing to charge, charging institute is calculated according to the SOC
The time needed and charge period, and enter this information into charging station selection and path selection module.
Charging station selection and path selection module include communication module, are joined the charging of electric car using communication module
Number information is sent to all charging stations on ride, and all charging stations on drive route are selected to charging station and path is selected
Select module feedback charging could, charge period and the monovalent information of the corresponding charging of charge period, charging station selects and Path selection
The power of the charging of the electric car of ride, the transmission of charged state module that module is sent according to available path determining module
The charging of time needed for range, charging, charge period information and charging station feedback could, charge period and charge period it is corresponding
The monovalent information of charging optimal ride and the charging on the ride are calculated and determined out according to optimizing mode
It stands, and optimal ride and the charging station on the ride is sent to display module.Display module will be optimal
Ride and the charge station information on the ride shown in the form of cartographic information, to facilitate driver to carry out
Selection or confirmation.
Optimizing mode includes the following steps: 1) to determine optimization aim: drive to destination required driving time and
Minimum the sum of the time required to charging on the way；2) optimization method is determined: Tij=Si/Vi+Bij/CVij, wherein Tij is represented from current
Position is travelled to target, and j-th of charging station charging on the i-th paths and the i-th paths, and completing above-mentioned task needs to spend altogether
The time taken, Si are the route distance of i-th driving path, and Vi is the running speed estimated for the i-th paths jam situation,
Bij is that automobile is travelled the electricity for needing to charge to j-th of charging station moment automobile by the i-th paths, and CVij is on the i-th paths
The charge rate that can be provided of j-th of charging station, be the charge power that can be provided of the electric car at just with charging station
Than, Vi is the speed for estimating out according to history driving recording, will can use each of planning driving path can be used the corresponding Si of charging station,
Vi, Bij and CVij information bring above-mentioned formula into respectively and calculate the corresponding Tij of each charging station, from multiple Tij being calculated
Minimum value Tijmin, Tijmin is selected to can be a numerical value and be also possible to multiple numerical value, can be lower than what will be calculated
The Tij of certain time threshold value is set as Tijmin；3) by planning driving path i corresponding to Tijmin and the charging station on the path
J is determined as optimal planning driving path and its corresponding charging station.
Optimizing mode includes the following steps: 1) to determine optimization aim: charging unit price is minimum；2) optimization method is determined: Cij=
Cj+Cj × (Sij-S0)/S0, wherein Cij represents charging unit price after the conversion that j-th of charging station charges on the i-th paths, Cj
Corresponding electric car travels the charging station forecast unit price of the charge period to j-th of charging station, Sij along the i-th paths
To select after j-th of charging station is as charging station on the i-th paths, automobile is travelled from it to the traveling of destination with being currently located
Distance, i.e. the i-th paths are travelled to the distance of destination, and S0 represents the linear distance for being currently located ground distance objective ground；By S0
And charging station corresponding Cj, Sij can be can be used to bring above-mentioned formula into respectively with each of planning driving path and calculate each charging station pair
The Cij answered, from multiple Cij being calculated select minimum value Cijmin, Cijmin can be a numerical value be also possible to it is more
The Cij lower than certain threshold value being calculated will can be set as Cijmin by a numerical value；3) by row corresponding to Cijmin
Charging station j on bus or train route diameter i and the path is determined as optimal planning driving path and its corresponding charging station.
Implement electric automobile charging station of the invention, have the advantages that, using path optimization system of the present invention
Electric car can reasonably select optimal charging scheme in conjunction with self-demand, be closed according to current automobile batteries state, line conditions
Reason selects optimal traffic route and optimal charge station, can save the time, can also reduce charging expense.
Detailed description of the invention
Charging station deployment scenarios figure around Fig. 1 road network and road network.
Communication schematic diagram between Fig. 2 charging station, charging communication network and charging station.
Optimization system configuration diagram in path in Fig. 3 electric car.
Specific embodiment
Fig. 1 is charging station deployment scenarios figure around road network and road network of the invention: to geographical location by the way of grid
Information is defined, the scale of abscissa is defined as A, B, C on grid ... J, K, L, and ordinate is defined as 1,2,3 ... 9,10,11,
Such as: it is C11, K2 that square position, which respectively corresponds coordinate, in figure, is respectively used to indicate automobile present position and purpose
Position, circle position respectively correspond driving to the charging station on the path of destination, coordinate be defined as H10, J6,
G8, I6, D10, J3, D9, F6, I3, E5, H3, C6, D4 and H2, wherein charging station H10, J6 for being defined by geographical location are located at
On first planning driving path S1, planning driving path correspondence is travelled from automobile present position to the vehicle line of destination locations,
Charging station G8, I6 are located on Article 2 planning driving path S2, and charging station D10, J3 are located on Article 3 planning driving path S3, charging station
D9, F6 and I3 are located on Article 4 planning driving path S4, and charging station E5, H3 are located on Article 5 planning driving path S5, charging station
C6, D4 and H2 are located on Article 6 planning driving path S6.The selection of optimal charging station is determined in order to facilitate combination planning driving path,
Charging station position mirror image can be indicated on the line, for example, charging station H10, J6 are respectively positioned on first roadway in figure
On diameter, charging station H10 is defined as 11, J6 respectively according to the direction of traffic to destination it is defined as 12,1 representing at the charging station
In in first planning driving path, 2 represent second charging station encountered on the line direction, similarly, are located at Article 2 and drive a vehicle
Charging station G8, I6 on path are respectively defined as 21,22.Charging station deployment scenarios figure, which is stored in, around above-mentioned road network and road network fills
In the identification module of power station, when for selecting optimal planning driving path, computing unit is inputted as parameter, in order to asking for optimization method
Solution, and the charging station on optimal planning driving path and the path is calculated and selected accordingly.
Fig. 2 is electric car, charge communication schematic diagram between communication network and charging station, and electric car utilizes its interior path
Optimization system or special communication system join the battery capacity of electric car, current SOC and permission charge power range etc. substantially
Number information is sent to charging communication network, and above-mentioned parameter information is forwarded to electric automobile charging station, charging station root by the communication network that charges
It determines whether to be sent to charging for the electric car charging, charge period, charge power and the monovalent information that charges according to above- mentioned information
Communication network, charging communication network forward this information to the electric car for needing to charge again.Electric car, charging and are filled communication network
It is communicated between power station using mobile radio communication system.
Fig. 3 is path optimization system configuration diagram in electric car of the invention, and path optimization system 300 includes charging instruction
Input module 310, available path determining module 320, charged state module 330, charging station selection and 340 He of path selection module
Display module 350.Wherein, for charging instruction input module for obtaining the information whether electric car needs to charge, which can
Since from user input charging instruction, be also possible to the charging instruction automatically generated, such as: when automobile internally-powered battery capacity
State automatically generates charging instruction to charging instruction input module when being lower than certain threshold value.When charging instruction input module determines
When receiving charging instruction, user is prompted further to input destination geographical location information, charging instruction input module 310 will later
Destination geographical location information is input to available path determining module 320, and charging instruction is input to charged state module 330.
Automobile current geographic position information and destination geographical location information are inputted its internal map by available path determining module 320
Information system determines all feasible rides or path from current location to destination from cartographic information system.Work as road
When diameter is more, it can be screened, select preferably path relatively.Such as: if current location apart from destination most
The distance of short path is S, and the path that path distance can be greater than to 1.5s is rejected, or will be worked as according to history driver information system
It rejects in the path that the preceding period is easy traffic congestion.Available path determining module 320 extremely charges the mulitpath information input after screening
Stand selection and path selection module 340.After charged state module 330 receives charging instruction, battery is calculated according to battery status and is worked as
Preceding SOC state, and calculated according to the SOC need the power bracket that charges and charging needed for the time, and by the information input
To charging station selection and path selection module 340.Charging station selection and path selection module 340 receive available path determining module
Time needed for the SOC of the 320 mulitpath information sent and electric car internally-powered battery, the power bracket of charging and charging
Etc. after information, all charging stations on Xiang Suoyou feasible path send charging unit price consulting, and according to routing information, battery status
Information and the monovalent information that charges calculate and select the optimal charging station on optimal charge path and the path, charging station select and
Path selection module will determine multiple schemes, and it is identical that these schemes can be path, but charging station is different, is also possible to path
Difference, but the technical solution that charging station is identical or charging station is different from path.Each scheme in multiple schemes is corresponding
Charge station information on driving path and path is sent to display module 350, by the charging of display module 350 by path and thereon
Station is shown, to facilitate driver to select or confirm.It wherein further include communication system and control system on display module,
When driver confirms the driving path and charging station in traveling scheme and scheme, the communication system on display module needs charging
It asks information to be sent to selected charging station, verifies whether the charging station can meet charge requirement in charge period.The charging needs
Seeking information can include the information such as battery SOC, charge power and charging time simultaneously.When the charging station can expire at the appointed time
When the charge requirement of sufficient electric car, display module receives the confirmation charge information of charging station, is prompted to driver later, and
Charging station on driving path and path is shown to driver with cartographic information, to facilitate driver to try to locate by following up a clue.When this is filled
When power station cannot meet the charge requirement of electric car at the appointed time, the communication system on display module believes charge requirement
Breath is sent to the selected charging station of another program, by before the step of verified and whether can be charged in the charging station, if
It can charge and then charge path and charging station are shown, if cannot continue to repeat the above steps, until selecting suitable scheme.It fills
Power station selection and path selection module 340 can optimum scheme comparisons as follows: 1) determining optimization aim: driving to destination
Required driving time and on the way charging the time required to the sum of minimum；2) optimization method is determined: Tij=Si/Vi+Bij/
CVij, wherein Tij representative is travelled to target from current location, and j-th of charging station on the i-th paths and the i-th paths
Charging, is completed the time that above-mentioned task need to be spent altogether, and Si is the route distance of i-th driving path, and Vi is for the i-th paths
The running speed that jam situation is estimated, Bij is travelled by the i-th paths to j-th of charging station moment automobile for automobile to be needed to charge
Electricity, it is the electronic vapour with charging station that CVij, which is the charge rate that can be provided of j-th of charging station on the i-th paths,
The charge power that vehicle can be provided is directly proportional, and Vi is the speed for estimating out according to history driving recording, can use planning driving path
Each of available corresponding Si, Vi, Bij and CVij information of charging station bring above-mentioned formula into respectively to calculate each charging station corresponding
Tij selects minimum value Tijmin, Tijmin to can be a numerical value and be also possible to multiple numbers from multiple Tij being calculated
Value, will can be set as Tijmin for the Tij lower than certain time threshold value being calculated；3) by row corresponding to Tijmin
Charging station j on bus or train route diameter i and the path is determined as optimal planning driving path and its corresponding charging station.
Charging station selection and path selection module 340 can also optimum scheme comparisons as follows: 1) determine optimization aim:
Charging unit price is minimum；2) optimization method is determined: Cij=Cj+Cj × (Sij-S0)/S0, wherein Cij represents jth on the i-th paths
Charge unit price after the conversion of a charging station charging, and Cj corresponds to electric car and travels along the i-th paths to j-th of charging station
The charging station of charge period forecast that unit price, Sij are to select after j-th of charging station is as charging station on the i-th paths, automobile from
It is travelled to the operating range of destination with being currently located, i.e. the i-th paths are travelled to the distance of destination, and S0 represents current institute
The linear distance on distance objective ground on ground；By S0 and corresponding Cj, Sij difference of the available charging station of each of planning driving path can be used
It brings above-mentioned formula into and calculates the corresponding Cij of each charging station, minimum value Cijmin is selected from multiple Cij being calculated,
Cijmin can be a numerical value and be also possible to multiple numerical value, can will be all provided with the Cij lower than certain threshold value being calculated
It is set to Cijmin；3) by planning driving path i corresponding to Cijmin and the charging station j on the path be determined as optimal planning driving path and
Its corresponding charging station.
The present invention is not limited to the disclosed embodiments and attached drawing, it is intended to which covering falls into each of spirit of that invention and protection scope
Kind variation and deformation.
Claims (6)
1. a kind of electric car, electric car includes battery and path optimization system, it is characterised in that: path optimization system is with nothing
Line communication mode is communicated with charging communication network, charge between communication network and multiple vehicle charging stations with communication into
Row communication, when electric car needs to charge, is transmitted to charging for the charge parameter information of electric car using path optimization system
Communication network, charge parameter information is sent to multiple charging stations by charging communication network, after charging station receives charge parameter information, feedback
Charging station is the charging prediction information that the electric car provides and is sent to electric car by the communication network that charges；The path is sought
Major clique system includes: charging instruction input module, available path determining module, charged state module, charging station selection and path choosing
Select module and display module；Charging station selection and path selection module include communication module, utilize communication module by electronic vapour
The charge parameter information of vehicle is sent to all charging stations on ride, and all charging stations on drive route are selected to charging station
Select and the charging of path selection module feedback could, charge period and the monovalent information of the corresponding charging of charge period, charging station select
And the electric car that the ride that is sent according to available path determining module of path selection module, charged state module are sent
The charging of time needed for the power bracket of charging, charging, charge period information and charging station feedback could, charge period and be filled
The corresponding monovalent information that charges was calculated and determined out optimal ride according to optimizing mode and was located at the driving line the electric period
The charging station of road, and optimal ride and the charging station on the ride are sent to display module, it shows
Module shows optimal ride and the charge station information on the ride in the form of cartographic information, with convenient
Driver selects or confirms；Optimizing mode includes the following steps: 1) to determine optimization aim: driving to required for destination
Driving time and on the way charging the time required to the sum of minimum；2) optimization method is determined: Tij=Si/Vi+Bij/CVij, wherein
Tij representative is travelled to target from current location, and j-th of charging station charging on the i-th paths and the i-th paths, is completed
Traveling to target and is completed the time that charging tasks need to be spent altogether, and Si is the route distance of i-th driving path, Vi be for
The running speed that i-th paths jam situation is estimated, Bij are that automobile is travelled by the i-th paths to j-th of charging station moment automobile
The electricity for needing to charge, CVij are the charge rate that j-th of charging station on the i-th paths can be provided, and are with charging station
The charge power that the electric car can be provided is directly proportional, and Vi is the speed for estimating out according to history driving recording, will can be used
Each of planning driving path can be used corresponding Si, Vi, Bij and CVij information of charging station to bring optimization method into respectively and calculate each charging
Stand corresponding Tij, minimum value Tijmin is selected from multiple Tij being calculated, Tijmin is multiple numerical value, will be calculated
The Tij lower than certain time threshold value be set as Tijmin；It 3) will be on planning driving path i corresponding to Tijmin and the path
Charging station j is determined as optimal planning driving path and its corresponding charging station.
2. electric car according to claim 1, it is characterised in that: the charge parameter information of the electric car includes:
When the battery capacity of electric car, the current SOC of electric car internally-powered battery, permission charge power range and expectation charging
Section.
3. electric car according to claim 2, it is characterised in that: the charging prediction information include: charge period,
Charge power and the monovalent information that charges.
4. electric car according to claim 1, it is characterised in that: the charging instruction input module is electronic for obtaining
The information whether automobile needs to charge, the charging instruction or root that the information whether electric car needs to charge is inputted from user
The charging instruction automatically generated according to battery capacity.
5. electric car according to claim 1, it is characterised in that: available path determining module is by automobile current geographic position
Confidence breath and destination geographical location information input its internal cartographic information system, determine from cartographic information system from current
Position is travelled to all rides of destination, and it is defeated that all ride information to destination will be travelled from current location
Enter to charging station selection and path selection module.
6. electric car according to claim 1, it is characterised in that: charged state module is from charging instruction input module
After receiving charging instruction, the current SOC state of battery is calculated according to battery status, and go out to need to fill according to the SOC state computation
The power bracket of electricity, time and charge period needed for charging, and needs are charged power bracket, the time needed for charging and
Charge period information input is selected to charging station and path selection module.
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| CN201610953623.XA CN106427635B (en) | 2016-11-03 | 2016-11-03 | A kind of electric car |
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