CN110091748B - Method and device for processing charging abnormity of electric vehicle and vehicle - Google Patents
Method and device for processing charging abnormity of electric vehicle and vehicle Download PDFInfo
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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
- B60L53/10—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 characterised by the energy transfer between the charging station and the vehicle
- B60L53/14—Conductive energy transfer
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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
- B60L53/60—Monitoring or controlling charging stations
- B60L53/66—Data transfer between charging stations and 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
- 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
- Y02T90/12—Electric charging stations
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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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- 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 application provides a processing method and device for charging abnormity of an electric vehicle, the vehicle, computer equipment and a storage medium, wherein the method comprises the following steps: in the charging mode, monitoring the charging state information of the electric vehicle in the charging process in real time; if the charging state information is abnormal, inquiring a charging abnormal type corresponding to the charging abnormal state information; and acquiring an abnormal repairing strategy corresponding to the charging abnormal type from the abnormal repairing strategy library, and sending the abnormal repairing strategy to the client for prompting. The method and the device can guide the user to solve the problem of charging abnormity in time.
Description
Technical Field
The application relates to the technical field of internet, in particular to a method and a device for processing charging abnormity of an electric vehicle, the vehicle, computer equipment and a storage medium.
Background
When the battery of electric vehicle consumes to a certain extent, need find and fill electric pile, will fill the rifle that charges of connecting on the electric pile and insert electric vehicle's the interface that charges in and charge.
When charging abnormality occurs in the charging process of an existing electric vehicle, a charging fault is reminded on a vehicle-mounted terminal of the electric vehicle, but how to process the fault cannot be explained, so that a user often does not know how to solve the charging fault, for example, when charging current of a charging gun is prompted to be abnormal on a screen of the vehicle-mounted terminal, the user does not know how to adjust the charging current of the charging gun.
Disclosure of Invention
The purpose of the present application is to solve at least one of the above technical defects, and in particular, the vehicle-mounted terminal cannot explain how to handle the fault, so that the user cannot be guided to timely solve the technical defect of charging abnormality.
The application provides a method for processing charging abnormity of an electric vehicle, which comprises the following steps:
in the charging mode, monitoring the charging state information of the electric vehicle in the charging process in real time;
if the charging state information is abnormal, inquiring a charging abnormal type corresponding to the charging abnormal state information;
and acquiring an abnormal repairing strategy corresponding to the charging abnormal type from an abnormal repairing strategy library, and sending the abnormal repairing strategy to a client for prompting.
In an embodiment, before the step of querying the charging abnormal type corresponding to the charging abnormal state information, the method further includes:
and sending exception prompt information to the client so that a user inputs an acquisition instruction of the exception recovery strategy based on the exception prompt information.
In one embodiment, the client comprises a vehicle-mounted terminal and/or a mobile terminal of a user; the step of sending the abnormal repairing strategy to the client for prompting comprises the following steps:
and detecting the state information of the driver seat of the user, and if the user is judged not to be in the driver seat based on the state information of the driver seat, sending the abnormal prompt information to the mobile terminal of the user.
In one embodiment, the method for processing charging abnormality of an electric vehicle further comprises:
acquiring abnormal repairing operation information input by a user according to an abnormal repairing strategy, and feeding back the abnormal repairing operation information to a server so that the server updates the abnormal repairing strategy library according to the abnormal repairing operation information of the user.
In one embodiment, the method for processing charging abnormality of an electric vehicle further comprises:
if the abnormal repairing strategy corresponding to the charging abnormal type does not exist in the abnormal repairing strategy library, requesting a corresponding manual repairing strategy from a server;
and receiving the manual repair strategy and updating the manual repair strategy to the abnormal repair strategy library.
In one embodiment, the charge status information includes at least one of an input current of a charging gun, an accumulated charging time, a real-time battery charge of the electric vehicle, or a measured battery temperature.
In one embodiment, the charge status information includes an input current of a charging gun;
the method for processing the charging abnormity of the electric vehicle further comprises the following steps:
and judging whether the input current of the charging gun accords with a set current range, and if the input current of the charging gun is smaller than the set current range, judging that the charging state information is abnormal.
In one embodiment, the charging state information includes an input current of a charging gun, an accumulated charging time, and a real-time battery charge;
the method for processing the charging abnormity of the electric vehicle further comprises the following steps:
calculating a predicted battery electric quantity according to the input current and the accumulated charging time of the charging gun, and detecting current load electricity utilization data of the electric vehicle if the real-time battery electric quantity is smaller than the predicted battery electric quantity;
and judging whether the charging state information is abnormal or not according to the load electricity utilization data and the predicted battery electricity quantity.
In one embodiment, the state of charge information includes a measured battery temperature of the electric vehicle;
the method for processing the charging abnormity of the electric vehicle further comprises the following steps:
and judging whether the actual measurement battery temperature of the electric vehicle meets a set temperature threshold value, and if the actual measurement battery temperature of the electric vehicle is greater than the set temperature threshold value, judging that the charging state information is abnormal.
In one embodiment, before the step of monitoring the charging state information of the electric vehicle during the charging process in real time in the charging mode, the method further includes:
receiving a charging instruction, and acquiring vehicle state information of the electric vehicle according to the charging instruction;
if the electric vehicle is judged not to be in accordance with the preset chargeable state according to the vehicle state information, sending a non-chargeable prompt to the vehicle-mounted terminal; wherein the vehicle state information includes at least one of a shift handle position, a handbrake state, an ignition switch state, a cooling fluid level, or a charging socket state of the electric vehicle.
The present application further provides an abnormal processing apparatus for electric vehicle charging, including:
the monitoring module is used for monitoring the charging state information of the electric vehicle in the charging process in real time in the charging mode;
the prompting module is used for inquiring a charging abnormal type corresponding to the charging abnormal state information if the charging state information is abnormal;
and the repairing module is used for acquiring the abnormal repairing strategy corresponding to the charging abnormal type from an abnormal repairing strategy library and sending the abnormal repairing strategy to the client for prompting.
The present application further provides a vehicle having a charging abnormality processing system configured to perform the steps of the method for processing a charging abnormality of an electric vehicle according to any one of the embodiments.
The application also provides a computer device comprising a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the method for processing charging abnormity of an electric vehicle according to any embodiment.
The present application further provides a storage medium storing computer readable instructions, which when executed by one or more processors, cause the one or more processors to perform the steps of the method for handling an electric vehicle charging abnormality of any one of the embodiments.
According to the processing method and device for the charging abnormity of the electric vehicle, the computer equipment and the storage medium, the charging state information of the electric vehicle in the charging process is monitored in real time in the charging mode; if the charging state information is abnormal, inquiring a charging abnormal type corresponding to the charging abnormal state information; and acquiring an abnormal repairing strategy corresponding to the charging abnormal type from an abnormal repairing strategy library, and sending the abnormal repairing strategy to the client for prompting. The user can be guided to process the charging abnormity in time.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic diagram of an electric vehicle charging scenario in one embodiment;
FIG. 2 is a flow diagram of a method for handling an electric vehicle charging anomaly, according to one embodiment;
FIG. 3 is a schematic diagram of a scenario in which a charging exception handling system forwards exception notification information when a user is not in a driver's seat according to an embodiment;
FIG. 4 is a flow diagram of a method for handling an electric vehicle charging anomaly, according to one embodiment;
FIG. 5 is a flowchart of a method for handling an electric vehicle charging anomaly in one embodiment;
FIG. 6 is a flow diagram of a method for handling a charging anomaly for an electric vehicle in accordance with one embodiment;
FIG. 7 is a flowchart of a method for handling an electric vehicle charging anomaly in one embodiment;
FIG. 8 is a graph illustrating predicted charge variation of a real-time battery charge of an electric vehicle over an accumulated time in one embodiment;
FIG. 9 is a flowchart of a method for handling an electric vehicle charging abnormality in another embodiment;
FIG. 10 is a schematic diagram showing a configuration of a device for processing charging abnormality of an electric vehicle according to an embodiment;
FIG. 11 is a diagram showing an internal configuration of a computer device according to an embodiment.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The processing method for the charging abnormity of the electric vehicle can be applied to vehicle-mounted system equipment connected with a vehicle-mounted terminal, can also be applied to the vehicle-mounted terminal, and can also be applied to a server networked with the vehicle-mounted terminal; the present application will be described by way of example as applied to an in-vehicle system as shown in fig. 1. Specifically, the electric vehicle 100 is charged by using a charging gun 201 on the charging pile 200, and in a charging mode, the vehicle-mounted system 101 monitors charging state information of the electric vehicle in a charging process in real time; if the charging state information is abnormal, the vehicle-mounted system 101 queries a charging abnormal type corresponding to the charging abnormal state information; the vehicle-mounted system 101 acquires an abnormality repairing strategy corresponding to the charging abnormality type, and sends the abnormality repairing strategy to the vehicle-mounted terminal 102 for prompting.
As will be understood by those skilled in the art, the "vehicle-mounted system" used herein may be an independent intelligent device disposed in the electric vehicle, or an intelligent device integrated with the vehicle-mounted terminal, or an application running on the vehicle-mounted terminal; the "in-vehicle terminal" used herein may be an in-vehicle touch screen device or the like.
In one embodiment, as shown in fig. 2, a method for handling charging abnormality of an electric vehicle is provided, which is described by taking the method as an example applied to the vehicle-mounted system in fig. 1, and may include the following steps:
and step S202, monitoring the charging state information of the electric vehicle in the charging process in real time in the charging mode.
In this step, when the charging gun is inserted into the charging interface of the electric vehicle, the charging mode is started, and in the charging mode, the charging state information of the charging gun and the electric vehicle battery can be monitored in real time.
The charging state information may be, in general, an input current of a charging gun, an accumulated charging time, a real-time battery power of the electric vehicle, or an actually measured battery temperature; for the charging state information, one or more of the above may be monitored, which will be explained with reference to examples below.
In step S204, if the charging state information is abnormal, the charging abnormal type corresponding to the charging abnormal state information is queried.
In an implementation process, multiple charging exception types and corresponding charging exception state information can be stored in the charging exception handling system locally, and the charging exception handling system can inquire the charging exception type corresponding to the charging exception state information.
In addition, a plurality of charging abnormal types and corresponding charging abnormal state information can be prestored in the server, and the charging abnormal processing system can send the charging abnormal state information to the server, inquire the charging abnormal type corresponding to the charging abnormal state information through the server, and then return the charging abnormal type to the charging abnormal processing system.
In an embodiment, before the step of querying the charging abnormal type corresponding to the charging abnormal state information in step S204, the method further includes: and sending exception prompt information to the client so that a user inputs an acquisition instruction of the exception recovery strategy based on the exception prompt information.
When the charging state information is abnormal, the abnormal prompt information can be sent to the client, and then the charging abnormal type corresponding to the charging abnormal state information is automatically inquired; or sending an exception prompt message to the client, so that a user inputs an acquisition instruction for an exception recovery strategy based on the exception prompt message, and then acquiring an exception recovery strategy corresponding to the charging exception type based on the acquisition instruction; the charging abnormal type corresponding to the charging abnormal state information can be directly inquired, and the charging abnormal type is directly sent to the client side to be displayed; the client may be at least one of a vehicle-mounted terminal or a mobile terminal of a user.
For example, when the input current of the charging gun is abnormal, a prompt text of "abnormal charging state" or a prompt voice can be sent to the vehicle-mounted terminal; or inquiring the charging abnormal type corresponding to the input current abnormality of the charging gun, namely 'input current abnormality', and sending the inquired charging abnormal type to the vehicle-mounted terminal for display.
When the charging abnormal state information is correspondingly provided with a plurality of charging abnormal types, the charging abnormal types can be sent to the vehicle-mounted terminal, priority ranking can be carried out on the charging abnormal types according to the probability of the occurrence of the charging abnormal types, the vehicle-mounted terminal can receive the selection information of the charging abnormal types from the user and send the selection information to the charging abnormal processing system, and the charging abnormal processing system calls the corresponding abnormal repairing strategy according to the charging abnormal type determined by the user.
In the embodiment, the abnormal prompt information is sent to the vehicle-mounted terminal, and the charging abnormal type corresponding to the charging abnormal state information is inquired, so that the user can know the specific situation of the charging abnormality in time, and the problem is solved in a targeted manner.
Step S206, obtaining an abnormal repairing strategy corresponding to the charging abnormal type from the abnormal repairing strategy library, and sending the abnormal repairing strategy to the client for prompting.
In this step, a plurality of charging exception types and corresponding exception repair strategies are set in the exception repair strategy library, and when a charging exception type is obtained, the corresponding exception repair strategy can be queried.
Specifically, the exception recovery policy library may store common exception recovery policies of exception types locally in the charging exception handling system, and the charging exception handling system directly queries the corresponding exception recovery policies.
In addition, the charging abnormity processing system can also acquire an abnormity repairing strategy of a charging abnormity type in real time by accessing the server, download and update the local abnormity repairing strategy library, and send the local abnormity repairing strategy library to the vehicle-mounted terminal for prompting.
In one embodiment, the sending the exception repairing policy to the client for prompting in step S206 may include:
(1) status information of a driver's seat of a user is detected.
In the step, the state information of the driver seat, namely whether the user is in the state of the driver seat, can be judged whether the user is in the vehicle by shooting the image of the driver seat or directly according to the gravity induction of the driver seat.
(2) And if the user is judged not to be in the driver seat based on the state information of the driver seat, sending abnormal prompt information to the mobile terminal of the user.
In the specific implementation process, the abnormal prompt information can be directly sent to the mobile terminal of the user, or the abnormal prompt information can be sent to the server first and then forwarded to the mobile terminal of the user through the server.
When the user is not in the driver seat, the charging abnormity processing system can forward the abnormity prompt information to the mobile terminal of the user through the server, so that the user can check the abnormity prompt information or the charging abnormity type in time, and the user is guided to solve the problem of charging abnormity in time.
In one implementation, as shown in fig. 4, after the step of obtaining the abnormal repair policy corresponding to the charging abnormality type from the abnormal repair policy library in step S206, the method may include:
step S207, if there is no abnormal repair policy corresponding to the charging abnormal type in the abnormal repair policy library, request a corresponding manual repair policy from the server, receive the manual repair policy, and update the manual repair policy to the abnormal repair policy library.
In this embodiment, when the charging exception type is input into the exception repair policy library and the corresponding exception repair policy cannot be queried, the corresponding manual repair policy may be requested from the server, and then the request is sent to the vehicle-mounted terminal for prompting.
In another implementation process, the manual repair strategy is updated to the abnormal repair strategy library, the abnormal repair strategy library is further improved, accordingly, the charging abnormal processing system can also feed back the new abnormal repair strategy to the server, update the abnormal repair strategy library of the server, and download and update the local abnormal repair strategy library.
As shown in fig. 5, after the step of sending to the in-vehicle terminal for prompting in step S206, the method may further include:
step S208, acquiring the abnormal repairing operation information input by the user according to the abnormal repairing strategy, and feeding the abnormal repairing operation information back to the server, so that the server updates the abnormal repairing strategy library according to the abnormal repairing operation information of each user.
In this step, when the user performs the repair operation according to the abnormal repair strategy, the charging abnormal processing system immediately acquires the abnormal repair operation information of the user, so as to obtain a new abnormal repair scheme, and updates the abnormal repair strategy library according to the abnormal repair operation information of the user, so as to provide a use reference for other users.
According to the processing method for the charging abnormity of the electric vehicle, the charging state information of the electric vehicle in the charging process is monitored in real time in the charging mode; if the charging state information is abnormal, inquiring a charging abnormal type corresponding to the charging abnormal state information; and acquiring an abnormal repairing strategy corresponding to the charging abnormal type from the abnormal repairing strategy library, and sending the abnormal repairing strategy to the client for prompting. The client can prompt a user how to process the fault, so that charging abnormity is solved in time.
The above embodiment describes a process of sending a corresponding abnormal recovery strategy to the vehicle-mounted terminal for prompt when the electric vehicle is abnormally charged in the charging mode.
The following further explains how to determine that the charging state information is abnormal and perform corresponding charging abnormality processing according to different charging state information with reference to examples.
Referring to fig. 6, taking monitoring of the input current of the charging gun as an example, the following process of determining whether the input current information of the charging gun is abnormal and prompting abnormal charging is specifically as follows:
step S601, monitoring the input current of a charging gun of the electric vehicle in the charging process in real time in a charging mode;
step S602, judging whether the input current of the charging gun accords with a set current range; if yes, executing step S603, otherwise, determining that the charging state information is normal;
step S603, determining that the charge state information is abnormal;
and step S604, reading an abnormal restoration strategy corresponding to the abnormal input current of the charging gun from the abnormal restoration strategy library, and sending the abnormal restoration strategy to the vehicle-mounted terminal for prompting.
In this example, the input current of the charging gun can be monitored in real time through the current sensor, and if the input current does not conform to the set current range, abnormal charging may occur, for example, if the current is too small, the charging time is too long, or the charging is not possible at all, and if the current is too large, the temperature of the vehicle battery is high, and the battery life is damaged.
In the specific implementation process, the charging gun can be set into a fast charging mode and a slow charging mode, the set current ranges corresponding to the fast charging mode and the slow charging mode are different, the fast charging current is larger, and the slow charging current is smaller; the charging gun can be firstly judged to be inserted into which charging mode interface, and then the set current range of the corresponding input current is obtained.
Referring to fig. 7, taking monitoring of the input current of the charging gun, the accumulated charging time, and the real-time battery power of the electric vehicle as an example, determining whether the input current of the charging gun, the accumulated charging time, and the real-time battery power of the electric vehicle are abnormal, and performing a charging abnormality processing specifically as follows:
step S701, monitoring the input current of a charging gun, the accumulated charging time and the real-time battery electric quantity of the electric vehicle in real time in a charging mode;
step S702, calculating the predicted battery capacity according to the input current and the accumulated charging time of the charging gun, judging whether the real-time battery capacity is smaller than the predicted battery capacity, if so, executing step S703; otherwise, judging that the charging state information is normal;
step S703, detecting the current load electricity consumption data of the electric vehicle, and judging whether the charging state information is abnormal or not by combining the load electricity consumption data; if yes, go to step S704;
step S704, an abnormal restoration policy corresponding to the input current of the charging gun, the accumulated charging time, and the real-time battery power abnormality of the electric vehicle is read from the abnormal restoration policy library, and is sent to the vehicle-mounted terminal for prompting.
Specifically, the sum of the current load electricity consumption data and the real-time battery electricity quantity of the electric vehicle can be calculated, and when the difference between the sum of the load electricity consumption data and the real-time battery electricity quantity and the predicted battery electricity quantity is small, the charging state information is normal; when the difference between the sum of the load electricity consumption data and the real-time battery electricity quantity and the predicted battery electricity quantity is large, the charging state information may be abnormal.
For example, in the charging process, when a user turns on an air conditioner, a large load power consumption may be generated, at this time, even if a charging gun is used for charging, the real-time battery power may not reach the predicted battery power, and the real-time battery power is added to the load power consumption of the air conditioner to obtain the actual battery charging power; comparing the actual charging battery electric quantity with the predicted battery electric quantity, wherein the predicted battery electric quantity can be set to an electric quantity range, and when the actual battery charging electric quantity conforms to the electric quantity range of the predicted battery electric quantity, judging that the charging state information is normal; and when the actual battery charging capacity does not conform to the capacity range of the predicted battery capacity, judging that the charging state is abnormal.
In a specific implementation process, as shown in fig. 8, a preset electric quantity change curve may be generated according to the input current of the charging gun, the accumulated charging time, and the real-time battery electric quantity, a solid line in the middle of fig. 8 is a predicted electric quantity change curve of the battery electric quantity of the electric vehicle with time when the input current is 10A, when the battery electric quantity of the electric vehicle is low, the change speed of the battery electric quantity in the charging process is relatively high, when the battery electric quantity of the electric vehicle is relatively high or is about to be fully charged, the change speed of the battery electric quantity in the charging process is relatively slow, and a fluctuation range of the preset electric quantity change curve may also be set, for example, two dotted lines in fig. 8 represent a fluctuation range boundary of the preset electric quantity change curve, and when the real-time battery electric quantity change curve exceeds the fluctuation range of the preset electric quantity change curve, it is determined that the charging is abnormal.
Referring to fig. 9, taking monitoring of the actually measured battery temperature of the electric vehicle as an example, determining whether the input current information of the charging gun is abnormal and performing a charging abnormality processing process specifically include the following steps:
step S901, monitoring the actually measured battery temperature of the electric vehicle in the charging process in real time in a charging mode;
step S902, judging whether the actually measured battery temperature of the electric vehicle meets a set temperature threshold value; if yes, go to step S903; otherwise, judging that the charging state information is normal;
step S903, judging that the charging state information is abnormal;
step S904, the abnormal restoration policy corresponding to the abnormal measured battery temperature of the electric vehicle is read from the abnormal restoration policy library, and is sent to the vehicle-mounted terminal for prompt.
In a specific implementation process, a corresponding set temperature threshold value can be set according to the input current of the charging gun, for example, when the charging gun performs quick charging, the corresponding set temperature threshold value can be higher due to a larger quick charging current, which charging mode interface the charging gun is inserted into can be judged first, and then the corresponding set temperature threshold value is obtained; the quick charging and the slow charging can be set to be a set temperature threshold value, and the temperature of the battery can not be higher than the set temperature threshold value no matter the quick charging or the slow charging.
In the above embodiment, different determination methods are adopted to determine whether the charging state information is abnormal according to different charging state information such as the input current of the charging gun, the accumulated charging time, the real-time battery electric quantity of the electric vehicle or the actually measured battery temperature, so as to query the corresponding charging abnormality type, and improve the abnormality repairing efficiency.
The process of determining whether the vehicle can be charged before entering the charging mode will be further described below with reference to the embodiments.
In an embodiment, before the step of monitoring the charging state information of the electric vehicle in the charging process in real time in the charging mode in step S202, a step of a non-charging reminder may also be included, which specifically includes the following steps:
(1) and receiving a charging instruction, and acquiring vehicle state information of the electric vehicle according to the charging instruction.
In the specific implementation process, a user can directly send a charging instruction to a server through a user terminal, and the server forwards the charging instruction to a charging exception handling system; or the user directly sends the charging instruction to the charging abnormity processing system through the vehicle-mounted terminal.
Specifically, the vehicle state information may include at least one of a shift handle position, a handbrake state, an ignition switch state, a cooling fluid level, or a charging socket state of the electric vehicle.
For example, when it is detected that the shift lever position of the electric vehicle is not located at the preset position, or the handbrake is not pulled up, or the ignition switch is not turned off, or the cooling liquid level is low, or the like, it is determined that the vehicle state information does not conform to the preset chargeable state.
(2) And if the electric vehicle is judged not to be in accordance with the preset chargeable state according to the vehicle state information, sending a non-chargeable prompt to the client.
For the safety of the user, when the electric vehicle does not conform to the preset chargeable state, the non-chargeable prompt is required to be sent to the client, and the specific reason that the electric vehicle does not conform to the preset chargeable state is sent to the vehicle-mounted terminal, so that the user can adjust the electric vehicle in time.
For example, when detecting that the ignition switch is not turned off, sending an uncharged prompt to the vehicle-mounted terminal, and simultaneously displaying that the ignition switch is not turned off, re-detecting whether the vehicle state information conforms to the preset chargeable state after the preset time, and repeatedly sending the uncharged prompt to the vehicle-mounted terminal if detecting that the vehicle state information does not conform to the preset chargeable state; and when the vehicle state information is detected to accord with the preset chargeable state, sending a chargeable prompt to the vehicle-mounted terminal.
In the embodiment, before the electric vehicle enters the charging mode, the vehicle state information is detected, whether the vehicle can enter the charging mode is judged, and when the vehicle cannot enter the charging mode, the non-charging prompt is sent to the vehicle-mounted terminal, so that a user can adjust the vehicle state information in time, and the safety of the user and the vehicle in the charging mode can be effectively ensured;
monitoring the charging state information of the electric vehicle in real time when the electric vehicle enters a charging mode; judging whether the charging state information is abnormal or not by combining the input current of the electric gun, the accumulated charging time, the real-time battery electric quantity of the electric vehicle or the actually measured battery temperature and the like, and inquiring the charging abnormal type corresponding to the charging abnormal state information; and acquiring an abnormal repairing strategy corresponding to the charging abnormal type, and sending the abnormal repairing strategy to the client for prompting, so that the user can check the abnormal prompting information or the charging abnormal type in time, and the user is guided to solve the problem of charging abnormality in time.
When the abnormal repairing strategy corresponding to the charging abnormal type does not exist in the abnormal repairing strategy library, a manual repairing strategy responding to the server can be requested, and the manual repairing strategy is updated to the abnormal repairing strategy library; and the abnormal recovery strategy library can be updated according to the abnormal recovery operation information of the user, so that the use reference can be provided for other users.
As shown in fig. 10, fig. 10 is a schematic structural diagram of a device for processing charging abnormality of an electric vehicle in an embodiment, and the device for processing charging abnormality of an electric vehicle in the embodiment includes a monitoring module 301, a prompting module 302, and a repairing module 303, where:
the monitoring module 301 is configured to monitor charging state information of the electric vehicle in a charging process in real time in a charging mode;
the prompting module 302 is configured to query a charging abnormal type corresponding to the charging abnormal state information if the charging state information is abnormal;
the repairing module 303 is configured to obtain an exception repairing policy corresponding to the charging exception type from an exception repairing policy library, and send the exception repairing policy to the client for prompting.
For specific limitations of the processing device for the charging abnormality of the electric vehicle, reference may be made to the above limitations of the processing method for the charging abnormality of the electric vehicle, and details thereof are not repeated herein. Each module in the above-described electric vehicle charging abnormality processing apparatus may be wholly or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, the present application also provides a vehicle provided with an in-vehicle terminal; the on-board system of the vehicle is configured to be used for the steps of the method for processing the charging abnormality of the electric vehicle in any of the above embodiments.
As shown in fig. 11, fig. 11 is a schematic diagram of an internal structure of a computer device in one embodiment. The computer apparatus includes a processor, a non-volatile storage medium, a memory, and a network interface connected by a device bus. The non-volatile storage medium of the computer device stores an operating device, a database and computer readable instructions, the database can store control information sequences, and the computer readable instructions can enable the processor to realize a processing method of the charging abnormity of the electric vehicle when being executed by the processor. The processor of the computer device is used for providing calculation and control capability and supporting the operation of the whole computer device. The memory of the computer device may have computer readable instructions stored therein that, when executed by the processor, may cause the processor to perform a method of handling an electric vehicle charging anomaly. The network interface of the computer device is used for connecting and communicating with the terminal. Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, the computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: in the charging mode, monitoring the charging state information of the electric vehicle in the charging process in real time; if the charging state information is abnormal, inquiring a charging abnormal type corresponding to the charging abnormal state information; and acquiring an abnormal repairing strategy corresponding to the charging abnormal type from the abnormal repairing strategy library, and sending the abnormal repairing strategy to the client for prompting.
In one embodiment, before the step of querying the charging abnormality type corresponding to the charging abnormality state information when the processor executes the computer program, the method further includes: and sending exception prompt information to a client so that a user inputs an acquisition instruction of the exception recovery strategy based on the exception prompt information.
In one embodiment, the client comprises a vehicle-mounted terminal and/or a mobile terminal of a user when the processor executes the computer program; the method comprises the following steps of sending an abnormal repairing strategy to a client for prompting, wherein the steps comprise: and detecting the state information of the driver seat of the user, and if the user is judged not to be in the driver seat based on the state information of the driver seat, sending abnormal prompt information to the mobile terminal of the user.
In one embodiment, the method for processing charging abnormality of the electric vehicle when the processor executes the computer program further comprises: and acquiring the abnormal repairing operation information input by the user according to the abnormal repairing strategy, and feeding the abnormal repairing operation information back to the server so that the server updates the abnormal repairing strategy library according to the abnormal repairing operation information of the user.
In one embodiment, the method for processing charging abnormality of the electric vehicle when the processor executes the computer program further comprises: and if the abnormal repairing strategy corresponding to the charging abnormal type does not exist in the abnormal repairing strategy library, requesting a corresponding manual repairing strategy from the server, receiving the manual repairing strategy, and updating the manual repairing strategy to the abnormal repairing strategy library.
In one embodiment, the charge status information includes at least one of an input current of the charging gun, an accumulated charging time, a real-time battery charge of the electric vehicle, or a measured battery temperature when the processor executes the computer program.
In one embodiment, the charge status information includes an input current of the charging gun when the processor executes the computer program; the method for processing the charging abnormity of the electric vehicle further comprises the following steps: and judging whether the input current of the charging gun accords with a set current range or not, and if the input current is smaller than the set current range, judging that the charging state information is abnormal.
In one embodiment, the charge status information includes input current of the charging gun, accumulated charging time, and real-time battery charge when the processor executes the computer program; the method for processing the charging abnormity of the electric vehicle further comprises the following steps: calculating the predicted battery electric quantity according to the input current and the accumulated charging time of the charging gun, and detecting the current load power consumption data of the electric vehicle if the real-time battery electric quantity is smaller than the predicted battery electric quantity; and judging whether the charging state information is abnormal or not according to the load electricity utilization data and the predicted battery electricity quantity.
In one embodiment, the state of charge information includes a measured battery temperature of the electric vehicle when the processor executes the computer program; the method for processing the charging abnormity of the electric vehicle further comprises the following steps: and judging whether the actual measured battery temperature of the electric vehicle meets a set temperature threshold value or not, and if the actual measured battery temperature of the electric vehicle is greater than the set temperature threshold value, judging that the charging state information is abnormal.
In one embodiment, the processor, when executing the computer program, before the step of monitoring the charging state information of the electric vehicle during the charging process in real time in the charging mode, further comprises: receiving a charging instruction, and acquiring vehicle state information of the electric vehicle according to the charging instruction; if the electric vehicle is judged not to be in accordance with the preset chargeable state according to the vehicle state information, sending a non-chargeable prompt to the vehicle-mounted terminal; wherein the vehicle state information includes at least one of a shift handle position, a handbrake state, an ignition switch state, a cooling fluid level, or a charging socket state of the electric vehicle.
In one embodiment, a storage medium is provided that stores computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of: in the charging mode, monitoring the charging state information of the electric vehicle in the charging process in real time; if the charging state information is abnormal, inquiring a charging abnormal type corresponding to the charging abnormal state information; and acquiring an abnormal repairing strategy corresponding to the charging abnormal type from the abnormal repairing strategy library, and sending the abnormal repairing strategy to the client for prompting.
In one embodiment, before the step of querying the charging abnormality type corresponding to the charging abnormality state information when the computer readable instructions are executed by the processor, the method further includes: and sending abnormal prompt information to the client.
In one embodiment, the client comprises a vehicle-mounted terminal and/or a mobile terminal of a user when the processor executes the computer program; the method comprises the following steps of sending an abnormal repairing strategy to a client for prompting, wherein the steps comprise: and detecting the state information of the driver seat of the user, and if the user is judged not to be in the driver seat based on the state information of the driver seat, prompting the abnormality to the mobile terminal of the user.
In one embodiment, the method for processing charging abnormality of electric vehicle when the computer readable instructions are executed by the processor further comprises: and acquiring the abnormal repairing operation information input by the user according to the abnormal repairing strategy, and feeding the abnormal repairing operation information back to the server so that the server updates the abnormal repairing strategy library according to the abnormal repairing operation information of the user.
In one embodiment, the method for processing charging abnormality of electric vehicle when the computer readable instructions are executed by the processor further comprises: and if the abnormal repairing strategy corresponding to the charging abnormal type does not exist in the abnormal repairing strategy library, requesting a corresponding manual repairing strategy from the server, receiving the manual repairing strategy, and updating the manual repairing strategy to the abnormal repairing strategy library.
In one embodiment, the charge status information includes at least one of an input current of a charging gun, an accumulated charging time, a real-time battery charge of the electric vehicle, or a measured battery temperature when the computer readable instructions are executed by the processor.
In one embodiment, the charge state information includes an input current of the charging gun; the method for processing the charging abnormity of the electric vehicle further comprises the following steps: and judging whether the input current of the charging gun accords with a set current range or not, and if the input current is smaller than the set current range, judging that the charging state information is abnormal.
In one embodiment, the charge status information includes input current to the charging gun, accumulated charging time, and real-time battery charge when the computer readable instructions are executed by the processor; the method for processing the charging abnormity of the electric vehicle further comprises the following steps: calculating the predicted battery electric quantity according to the input current and the accumulated charging time of the charging gun, and detecting the current load power consumption data of the electric vehicle if the real-time battery electric quantity is smaller than the predicted battery electric quantity; and judging whether the charging state information is abnormal or not according to the load electricity utilization data and the predicted battery electricity quantity.
In one embodiment, the charge state information includes a measured battery temperature of the electric vehicle when the computer readable instructions are executed by the processor; the method for processing the charging abnormity of the electric vehicle further comprises the following steps: and judging whether the actual measured battery temperature of the electric vehicle meets a set temperature threshold value or not, and if the actual measured battery temperature of the electric vehicle is greater than the set temperature threshold value, judging that the charging state information is abnormal.
In one embodiment, the computer readable instructions, when executed by the processor, further comprise, before the step of monitoring the charging status information of the electric vehicle during charging in real time in the charging mode: receiving a charging instruction, and acquiring vehicle state information of the electric vehicle according to the charging instruction; if the electric vehicle is judged not to be in accordance with the preset chargeable state according to the vehicle state information, sending a non-chargeable prompt to the vehicle-mounted terminal; wherein the vehicle state information includes at least one of a shift handle position, a handbrake state, an ignition switch state, a cooling fluid level, or a charging socket state of the electric vehicle.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (13)
1. A method for processing charging abnormity of an electric vehicle is applied to a vehicle-mounted system and is characterized by comprising the following steps:
in the charging mode, monitoring the charging state information of the electric vehicle in the charging process in real time;
if the charging state information is abnormal, inquiring a charging abnormal type corresponding to the charging abnormal state information;
acquiring an abnormal repairing strategy corresponding to the charging abnormal type from an abnormal repairing strategy library, and sending the abnormal repairing strategy to a client of a mobile terminal including a vehicle-mounted terminal and/or a user for prompting; the method comprises the following steps: detecting state information of a driver seat of a user, if the driver seat is judged not to be occupied by the user based on the state information of the driver seat, sending abnormal prompt information to a mobile terminal of the user, and if the driver seat is occupied by the user, sending the abnormal prompt information to a vehicle-mounted terminal;
and updating the abnormal repairing strategy library based on the abnormal repairing operation information input by the user.
2. The method for processing charging abnormity of electric vehicle according to claim 1, wherein before the step of querying the charging abnormity type corresponding to the charging abnormity state information, the method further comprises:
and sending exception prompt information to the client so that a user inputs an acquisition instruction of the exception recovery strategy based on the exception prompt information.
3. The method for processing charging abnormality of electric vehicle according to claim 1, wherein the updating the abnormality recovery strategy base based on the abnormality recovery operation information input by the user includes:
acquiring abnormal repairing operation information input by a user according to the abnormal repairing strategy, and feeding back the abnormal repairing operation information to a server so that the server updates the abnormal repairing strategy library according to the abnormal repairing operation information of the user.
4. The method for processing the charging abnormality of the electric vehicle according to claim 1, further comprising:
if the abnormal repairing strategy corresponding to the charging abnormal type does not exist in the abnormal repairing strategy library, requesting a corresponding manual repairing strategy from a server;
and receiving the manual repair strategy and updating the manual repair strategy to the abnormal repair strategy library.
5. The method of claim 1, wherein the charging status information comprises at least one of an input current of a charging gun, an accumulated charging time, a real-time battery charge of the electric vehicle, or a measured battery temperature.
6. The method for handling charging abnormality of an electric vehicle according to claim 5, characterized in that the charging state information includes an input current of a charging gun;
the method further comprises the following steps:
and judging whether the input current of the charging gun accords with a set current range, and if the input current of the charging gun is smaller than the set current range, judging that the charging state information is abnormal.
7. The method for processing charging abnormity of electric vehicles according to claim 5, characterized in that the charging state information comprises input current of a charging gun, accumulated charging time and real-time battery capacity;
the method further comprises the following steps:
calculating a predicted battery electric quantity according to the input current and the accumulated charging time of the charging gun, and detecting current load electricity utilization data of the electric vehicle if the real-time battery electric quantity is smaller than the predicted battery electric quantity;
and judging whether the charging state information is abnormal or not according to the load electricity utilization data and the predicted battery electricity quantity.
8. The method for handling charging anomalies of an electric vehicle according to claim 5, characterized in that the charging status information includes a measured battery temperature of the electric vehicle;
the method further comprises the following steps:
and judging whether the actual measurement battery temperature of the electric vehicle meets a set temperature threshold value, and if the actual measurement battery temperature of the electric vehicle is greater than the set temperature threshold value, judging that the charging state information is abnormal.
9. The method for processing charging abnormity of the electric vehicle according to claim 1, wherein before the step of monitoring the charging state information of the electric vehicle in the charging process in real time in the charging mode, the method further comprises the following steps:
receiving a charging instruction, and acquiring vehicle state information of the electric vehicle according to the charging instruction;
if the electric vehicle is judged not to be in accordance with the preset chargeable state according to the vehicle state information, sending a non-chargeable prompt to the client; wherein the vehicle state information includes at least one of a shift handle position, a handbrake state, an ignition switch state, a cooling fluid level, or a charging socket state of the electric vehicle.
10. A processing device for abnormal charging of an electric vehicle is applied to a vehicle-mounted system, and is characterized by comprising:
the monitoring module is used for monitoring the charging state information of the electric vehicle in the charging process in real time in the charging mode;
the prompting module is used for inquiring a charging abnormal type corresponding to the charging abnormal state information if the charging state information is abnormal;
a repair module, configured to obtain an abnormal repair policy corresponding to the charging abnormal type from an abnormal repair policy library, and send the abnormal repair policy to a client of a mobile terminal including a vehicle-mounted terminal and/or a user for prompting, where the repair module includes: detecting state information of a driver seat of a user, if the driver seat is judged not to be occupied by the user based on the state information of the driver seat, sending abnormal prompt information to a mobile terminal of the user, and if the driver seat is occupied by the user, sending the abnormal prompt information to a vehicle-mounted terminal; and updating the abnormal repairing strategy library based on the abnormal repairing operation information input by the user.
11. A vehicle characterized in that a charging abnormality processing system of the vehicle is configured to execute the steps of the processing method of the charging abnormality of the electric vehicle according to any one of claims 1 to 9.
12. A computer device comprising a memory and a processor, the memory having stored therein computer readable instructions, wherein the computer readable instructions, when executed by the processor, cause the processor to perform the steps of the method of handling an electric vehicle charging anomaly according to any one of claims 1 to 9.
13. A storage medium storing computer readable instructions, which when executed by one or more processors, cause the one or more processors to perform the steps of the method of handling an electric vehicle charging anomaly of any one of claims 1 to 9.
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