Electric vehicle charging fault detection method, system, vehicle and storage medium

Abstract

The application discloses a kind of electric vehicle charging fault detection method, system, vehicle and storage medium, wherein, method includes: the charging state of electric vehicle is obtained, wherein, charging state includes charging and not charging;In response to charging state is in charging, determine the charging mode of electric vehicle;According to charging mode, determine fault detection mode;According to fault detection mode, the state of charging power grid is fault detected and the fault detection result is output, wherein, the state of charging power grid includes normal and abnormal.The application solves the technical problem that the fault detection method in the charging process exists in the prior art, lacks directional detection of power grid fault, and cannot meet the user's demand.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of fault detection, and in particular, relates to an electric vehicle charging fault detection method, system, vehicle and storage medium. BACKGROUND

[0002] With the popularization and application of electric vehicles in recent years, the scale and number of electric vehicles and charging piles are increasing day by day. Since the electric vehicle industry is still in the development stage, its maturity is far from that of traditional fuel vehicles. In addition, the current industry standards and national standards are in the perfect stage, and the parameters of spare parts manufacturers are different. In recent years, electric vehicle charging safety accidents have occurred frequently. Therefore, the charging safety of electric vehicles has become one of the public opinion focuses of the majority of users. Further, the fault detection in the charging process of electric vehicles is particularly important.

[0003] The existing fault detection method in the charging process lacks directional detection of power grid faults, and cannot meet the user's needs. SUMMARY

[0004] The electric vehicle charging fault detection method, system, vehicle and storage medium provided by the embodiments of the present application at least solve the technical problem that the existing fault detection method in the charging process lacks directional detection of power grid faults and cannot meet the user's needs.

[0005] According to a first aspect of the embodiments of the present application, an electric vehicle charging fault detection method is provided, including: obtaining a charging state of an electric vehicle, wherein the charging state includes charging and not charging; in response to the charging state being charging, determining a charging mode of the electric vehicle; determining a fault detection mode according to the charging mode; and performing fault detection on the state of a charging power grid according to the fault detection mode and outputting a fault detection result, wherein the state of the charging power grid includes normal and abnormal.

[0006] Optionally, the charging mode includes a wired direct current charging mode, a wired alternating current charging mode and a wireless alternating current charging mode.

[0007] Optionally, the fault detection mode includes a first detection mode, a second detection mode and a third detection mode; determining the fault detection mode according to the charging mode includes: judging the charging mode to obtain a judgment result; and in response to the judgment result indicating that the charging mode is the wired direct current charging mode, determining that the fault detection mode is the first detection mode, wherein the first detection mode is to detect the state of the charging power grid by using a direct current charging station.

[0008] Optionally, the electric vehicle charging fault detection method further comprises: in response to the result of the judgment indicating that the charging mode is the wired AC charging mode, determining that the fault detection mode is a second detection mode, wherein the second detection mode is to detect the state of the charging power grid by using a wired on-board charger assembly.

[0009] Optionally, the electric vehicle charging fault detection method further comprises: in response to the result of the judgment indicating that the charging mode is the wireless AC charging mode, determining that the fault detection mode is a third detection mode, wherein the third detection mode is to detect the state of the charging power grid by using a wireless on-board charger assembly.

[0010] Optionally, the electric vehicle charging fault detection method further comprises: in response to the result of the judgment indicating that the charging mode is the wireless AC charging mode, determining that the fault detection mode is a third detection mode, wherein the third detection mode is to detect the state of the charging power grid by using a wireless on-board charger assembly.

[0011] Optionally, the preset fault processing procedure comprises at least one of the following: controlling the electric vehicle to stop charging, storing a fault code corresponding to the state of the charging power grid being abnormal, and outputting a fault prompt information.

[0012] According to a second aspect of the embodiments of the present application, an electric vehicle charging fault detection system is further provided, comprising:

[0013] a first determining module configured to determine a charging mode of the electric vehicle in response to the charging state being in charging; a second determining module configured to determine a fault detection mode according to the charging mode; and a detecting module configured to perform fault detection on a state of a charging power grid according to the fault detection mode and output a fault detection result.

[0014] Optionally, the fault detection mode comprises a first detection mode, a second detection mode and a third detection mode; the second determining module is further configured to: judge the charging mode to obtain a judgment result; and in response to the result of the judgment indicating that the charging mode is the wired DC charging mode, determine that the fault detection mode is the first detection mode, wherein the first detection mode is to detect the state of the charging power grid by using a DC charging station.

[0015] Optionally, the second determining module is further configured to: in response to the result of the judgment indicating that the charging mode is the wired AC charging mode, determine that the fault detection mode is the second detection mode, wherein the second detection mode is to detect the state of the charging power grid by using a wired on-board charger assembly.

[0016] Optionally, the second determining module is further configured to: in response to the determination result indicating that the charging mode is the wireless alternating current charging mode, determine that the fault detection mode is a third detection mode, wherein the third detection mode is to detect the state of the charging power grid by using the wireless on-board charging machine assembly.

[0017] Optionally, the electric vehicle charging fault detection system further comprises a processing module, configured to: in response to the fault detection result indicating that the state of the charging power grid is abnormal, execute a preset fault processing procedure, wherein the preset fault processing procedure is used to process the charging fault of the electric vehicle.

[0018] According to a third aspect of the embodiments of the present application, a vehicle is further provided, comprising a memory and a processor, the memory stores a computer program, and the processor is configured to run the computer program to execute the electric vehicle charging fault detection method described in any of the embodiments of the first aspect.

[0019] According to a fourth aspect of the embodiments of the present application, a non-volatile storage medium is further provided, the non-volatile storage medium stores a computer program, wherein the computer program is configured to execute the electric vehicle charging fault detection method described in any of the embodiments of the first aspect when running on a computer or a processor.

[0020] In the embodiments of the present application, the charging state of the electric vehicle is acquired, wherein the charging state includes charging and not charging; in response to the charging state being charging, the charging mode of the electric vehicle is determined; according to the charging mode, the fault detection mode is determined; and according to the fault detection mode, the state of the charging power grid is detected for fault and a fault detection result is output, wherein the state of the charging power grid includes normal and abnormal. By using different fault detection modes to detect the state of the charging power grid according to different charging modes, it can be determined whether the charging power grid fails in different charging modes, and thus the technical problem that the fault detection method in the charging process lacks directional detection of power grid faults and cannot meet user needs in the prior art can be solved. BRIEF DESCRIPTION OF DRAWINGS

[0021] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and serve to explain the principles of the application. In the drawings:

[0022] Figure 1 is a flowchart of an electric vehicle charging fault detection method according to an embodiment of the present application;

[0023] Figure 2 is a flowchart of an electric vehicle charging fault detection method according to an embodiment of the present application;

[0024] Figure 3 is a structural block diagram of an electric vehicle charging fault detection system according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the persons skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts should fall within the protection scope of the present application.

[0026] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the terms thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product, or device.

[0027] According to an embodiment of the present application, an embodiment of an electric vehicle charging fault detection method is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system including at least one set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that described herein.

[0028] The method embodiment can also be executed in an electronic device including a memory and a processor, a similar control device, or a cloud. Taking the electronic device as an example, the electronic device can include one or more processors and a memory for storing data. Optionally, the above-mentioned electronic device can also include a communication device for communication function and a display device. Those of ordinary skill in the art can understand that the above-mentioned structural description is only illustrative, and does not limit the structure of the above-mentioned electronic device. For example, the electronic device can include more or fewer components than the above-mentioned structural description, or have a different configuration from the above-mentioned structural description.

[0029] The processor can include one or more processing units. For example, the processor can include processing devices such as a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microcontroller unit (MCU), a field-programmable gate array (FPGA), a neural-network processing unit (NPU), a tensor processing unit (TPU), an artificial intelligent (AI) type processor, and the like. Different processing units can be independent components or integrated in one or more processors. In some examples, the electronic device can also include one or more processors.

[0030] The memory can be used to store a computer program, for example, a computer program corresponding to the electric vehicle charging fault detection method in the embodiments of the present application. The processor realizes the above-mentioned electric vehicle charging fault detection method by running the computer program stored in the memory. The memory can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory can further include a memory remotely arranged with respect to the processor, and these remote memories can be connected to the electronic device through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0031] The communication device is used to receive or send data via a network. Specific examples of the above-mentioned network can include a wireless network provided by a communication provider of a mobile terminal. In one example, the communication device includes a network interface controller (NIC) which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the communication device can be a radio frequency (RF) module which is used to communicate with the Internet in a wireless manner. In some embodiments of the present application, the communication device is used to connect with mobile devices such as mobile phones and tablets, and can send instructions to the electronic device through the mobile devices.

[0032] The display device can be a liquid crystal display (LCD) and a touch display (also known as a "touch screen" or "touch display screen") in a touch screen manner. The liquid crystal display can enable a user to interact with a user interface of the electronic device. In some embodiments, the electronic device has a graphical user interface (GUI), and a user can interact with the GUI through finger contacts and / or gestures on the touch-sensitive surface. Executable instructions for performing the above-mentioned human-computer interaction functions are configured / stored in one or more computer program products or readable storage media executable by a processor.

[0033] Figure 1 is a flowchart of a method for detecting charging faults of an electric vehicle according to an embodiment of the present application, as shown in Figure 1 The method comprises the following steps:

[0034] In step S101, a charging state of the electric vehicle is acquired.

[0035] The charging state includes charging and not charging.

[0036] It can be understood that the premise of detecting charging faults of the electric vehicle is that the electric vehicle is in charging. If the electric vehicle is not in charging, the detection of charging faults cannot be performed.

[0037] In step S102, in response to the charging state being in charging, a charging mode of the electric vehicle is determined.

[0038] Specifically, when the acquired charging state indicates that the electric vehicle is in charging, the charging mode of the electric vehicle needs to be determined.

[0039] In step S103, a fault detection mode is determined according to the charging mode.

[0040] Specifically, different charging modes correspond to different fault detection modes. Therefore, after the charging mode of the electric vehicle is determined, the fault detection mode corresponding to the charging mode is determined.

[0041] It should be noted that the power battery can only enter one type of charging process. Even if the environment allows and the vehicle end supports switching between different types of charging modes, it is necessary to stop the current charging mode and then switch to another charging mode. Therefore, there is no cross coexistence of charging modes, and only whether there is a power grid abnormal fault in the current charging type needs to be focused on.

[0042] It should be noted that different fault detection modes are adopted for different charging modes, which can effectively reduce the false alarm rate of faults.

[0043] Optionally, in some embodiments of the present application, the charging mode includes a wired direct current charging mode, a wired alternating current charging mode and a wireless alternating current charging mode.

[0044] In step S104, the state of the charging power grid is detected according to the fault detection mode, and a fault detection result is output.

[0045] The state of the charging power grid includes normal and abnormal.

[0046] It should be noted that the charging power grid in the present application is a high-voltage power grid. The abnormality of the charging power grid reflects a problem in power quality, such as voltage jump, frequency fluctuation, etc. This fault is not a fault at the vehicle end. When the power grid is abnormal and reaches a certain degree, charging will not be able to proceed.

[0047] In an embodiment of the present application, the charging state of the electric vehicle is obtained, wherein the charging state includes charging and not charging; in response to the charging state being charging, the charging mode of the electric vehicle is determined; according to the charging mode, the fault detection mode is determined; according to the fault detection mode, the state of the charging power grid is detected for fault and a fault detection result is output, wherein the state of the charging power grid includes normal and abnormal. By using different fault detection modes to detect the state of the charging power grid according to different charging modes, the present application can determine whether the charging power grid has failed in different charging modes, thereby solving the technical problem of the prior art that the fault detection method in the charging process lacks directional detection of power grid failure and cannot meet user demand.

[0048] Optionally, the fault detection mode includes a first detection mode, a second detection mode and a third detection mode; according to the charging mode, the fault detection mode is determined, including: judging the charging mode to obtain a judgment result; in response to the judgment result indicating that the charging mode is a wired direct current charging mode, the fault detection mode is determined as the first detection mode, wherein the first detection mode is to detect the state of the charging power grid by using a direct current charging station.

[0049] It should be noted that the direct current charging station is a facility for charging electric vehicles. Direct current charging stations are usually set up in public places such as highway service areas, parking lots, shopping centers and urban blocks. They can be connected to the charging operator's system through the Internet to realize remote monitoring, fault diagnosis and payment functions of the charging pile.

[0050] Specifically, in the present application, the detection of the state of the charging power grid by using the direct current charging station needs to be connected to the charging operator's system for detection.

[0051] Optionally, the electric vehicle charging fault detection method further comprises: in response to the determination result indicating that the charging mode is the wired alternating current charging mode, determining that the fault detection mode is a second detection mode, wherein the second detection mode is to detect the state of the charging power grid by using the wired on-board charger assembly.

[0052] Specifically, when the charging mode is the wired alternating current charging mode, the electric vehicle needs to be charged by the wired on-board charger assembly, and therefore the state of the charging power grid is detected by using the wired on-board charger assembly in this mode.

[0053] It should be noted that the wired on-board charger assembly is a wired on-board charger. It converts alternating current into direct current and then supplies the direct current to the on-board power battery for charging. When charging, it needs to rectify and filter the current. When discharging, it needs to convert direct current into alternating current.

[0054] Optionally, the electric vehicle charging fault detection method further comprises: in response to the determination result indicating that the charging mode is the wireless alternating current charging mode, determining that the fault detection mode is a third detection mode, wherein the third detection mode is to detect the state of the charging power grid by using the wireless on-board charger assembly.

[0055] Specifically, when the charging mode is the wireless alternating current charging mode, the electric vehicle needs to be charged by the wireless on-board charger assembly, and therefore the state of the charging power grid is detected by using the wireless on-board charger assembly in this mode.

[0056] It should be noted that the wired on-board charger assembly is a wired on-board charger. It converts alternating current into direct current and then supplies the direct current to the on-board power battery for charging. When charging, it needs to rectify and filter the current. When discharging, it needs to convert direct current into alternating current.

[0057] Optionally, the electric vehicle charging fault detection method further comprises: in response to the determination result indicating that the charging mode is the wireless alternating current charging mode, determining that the fault detection mode is a third detection mode, wherein the third detection mode is to detect the state of the charging power grid by using the wireless on-board charger assembly.

[0058] Specifically, when the charging mode is the wireless alternating current charging mode, the electric vehicle needs to be charged by the wireless on-board charger assembly, and therefore the state of the charging power grid is detected by using the wireless on-board charger assembly in this mode.

[0059] Optionally, the preset fault handling process includes at least one of the following: controlling the electric vehicle to stop charging, storing a fault code corresponding to the state of the charging power grid being abnormal, and outputting a fault prompt information.

[0060] Exemplarily, in some embodiments of the present application, the preset fault handling procedure includes each of the above, first controlling the vehicle to stop charging; then storing the fault code corresponding to the abnormal state of the charging power grid into the vehicle for later fault troubleshooting and tracing; and finally outputting fault prompt information to the display device or voice device of the vehicle, prompting the driver that the charging power grid has failed. At the same time, the fault prompt information can also be pushed to the mobile phone client bound to the vehicle.

[0061] Optionally, referring to Figure 2 In some embodiments of the present application, the electric vehicle charging fault detection method executes the following steps:

[0062] First, it is judged whether the electric vehicle is in charging. If it is in charging, the subsequent steps are executed. If it is not in charging, it is continued to be judged whether the vehicle is in charging. When it is determined that the vehicle is in charging, the charging mode of the vehicle is further judged.

[0063] If the vehicle is in the mode of wired alternating current charging, it is judged whether the OBC (on-board charger assembly) monitors the power grid abnormality. If the power grid abnormality is monitored, the corresponding procedure of fault handling is performed. If the abnormality is not monitored, the monitoring is continued.

[0064] If the vehicle is in the mode of wired direct current charging, it is judged whether the direct current charging station monitors the power grid abnormality. If the power grid abnormality is monitored, the corresponding procedure of fault handling is performed. If the abnormality is not monitored, the monitoring is continued.

[0065] If the vehicle is in the mode of wireless alternating current charging, it is judged whether the WOBC (wireless on-board charger assembly) monitors the power grid abnormality. If the power grid abnormality is monitored, the corresponding procedure of fault handling is performed. If the abnormality is not monitored, the monitoring is continued.

[0066] Through the description of the above implementation manners, those skilled in the art can clearly understand that the method according to the above embodiments can be realized by means of software and the necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a ROM / RAM, a magnetic disk, an optical disk), and includes a plurality of instructions for making a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) execute the method described in each embodiment of the present application.

[0067] A system for detecting charging faults of an electric vehicle is also provided in the embodiments, which is configured to implement the above embodiments and preferred embodiments, and will not be described again. As used below, the term "module" refers to a combination of software and / or hardware that can implement a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

[0068] Figure 3 is a structural block diagram of an electric vehicle charging fault detection system 200 according to an embodiment of the present application, as Figure 3 shown, the electric vehicle charging fault detection system 200 includes: an acquisition module 201 configured to acquire a charging state of an electric vehicle, wherein the charging state includes charging and not charging; a first determination module 202 configured to determine a charging mode of the electric vehicle in response to the charging state being charging; a second determination module 203 configured to determine a fault detection mode according to the charging mode; and a detection module 204 configured to perform fault detection on a state of a charging power grid according to the fault detection mode and output a fault detection result.

[0069] Optionally, the fault detection mode includes a first detection mode, a second detection mode, and a third detection mode; the second determination module 203 is further configured to: determine a charging mode to obtain a determination result; and in response to the determination result indicating that the charging mode is a wired direct current charging mode, determine that the fault detection mode is the first detection mode, wherein the first detection mode is to detect the state of the charging power grid by using a direct current charging station.

[0070] Optionally, the second determination module 203 is further configured to: in response to the determination result indicating that the charging mode is a wired alternating current charging mode, determine that the fault detection mode is the second detection mode, wherein the second detection mode is to detect the state of the charging power grid by using a wired on-board charger assembly.

[0071] Optionally, the second determination module 203 is further configured to: in response to the determination result indicating that the charging mode is a wireless alternating current charging mode, determine that the fault detection mode is the third detection mode, wherein the third detection mode is to detect the state of the charging power grid by using a wireless on-board charger assembly.

[0072] Optionally, the electric vehicle charging fault detection system further includes a processing module, which is connected to the detection module 204 and not shown in the figure, and the processing module is configured to: in response to the fault detection result indicating that the state of the charging power grid is abnormal, execute a preset fault processing procedure, wherein the preset fault processing procedure is configured to process a charging fault of the electric vehicle.

[0073] The embodiment of the present application also provides a vehicle, comprising a memory and a processor, the memory stores a computer program, and the processor is configured to execute the computer program to perform the electric vehicle charging fault detection method described in any of the above embodiments.

[0074] Optionally, in the embodiment, the processor in the vehicle can be configured to execute the computer program to perform the following steps:

[0075] In step S101, a charging state of the electric vehicle is acquired.

[0076] In step S102, in response to the charging state being in charging, a charging mode of the electric vehicle is determined.

[0077] In step S103, according to the charging mode, a fault detection mode is determined.

[0078] In step S104, according to the fault detection mode, a state of a charging power grid is detected for fault and a fault detection result is output.

[0079] Optionally, specific examples in the embodiment can refer to the examples described in the above embodiments and optional implementation manners, and the embodiment will not be described here again.

[0080] The embodiment of the present application also provides a non-volatile storage medium, the non-volatile storage medium stores a computer program, wherein the computer program is configured to execute the electric vehicle charging fault detection method described in any of the above embodiments when running on a computer or a processor.

[0081] Optionally, in the embodiment, the computer program can be configured to store a computer program for performing the following steps:

[0082] In step S101, a charging state of the electric vehicle is acquired.

[0083] In step S102, in response to the charging state being in charging, a charging mode of the electric vehicle is determined.

[0084] In step S103, according to the charging mode, a fault detection mode is determined.

[0085] In step S104, according to the fault detection mode, a state of a charging power grid is detected for fault and a fault detection result is output.

[0086] Optionally, specific examples in the embodiment can refer to the examples described in the above embodiments and optional implementation manners, and the embodiment will not be described here again.

[0087] In the above embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0088] In some embodiments of the present application, it should be understood that the disclosed technology can be implemented in other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the modules can be a logical function division, and actual implementation can have another division mode, for example, a plurality of modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some interface, indirect coupling or communication connection between modules or modules, which can be electrical or other forms.

[0089] The modules described as separate components can or can not be physically separated, and the components shown as modules can or can not be physical modules, that is, they can be located in one place, or they can be distributed to multiple modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the present embodiment.

[0090] In addition, the functional modules in each embodiment of the present application can be integrated into a processing module, or each module can exist physically, or two or more modules can be integrated into one module. The above integrated module can be realized in the form of hardware or software functional module.

[0091] The integrated module, if realized in the form of software functional module and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part of the prior art or the whole or part of the technical solutions can be embodied in the form of software product, which is stored in a storage medium and includes a plurality of instructions for making a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and various program code storage media.

[0092] The above is only the preferred embodiment of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should be considered as the protection scope of the present application.

Claims

1. An electric vehicle charging fault detection method, characterized by, The method comprises: obtaining a charging state of an electric vehicle, wherein the charging state comprises charging and not charging; in response to the charging state being the charging, determining a charging mode of the electric vehicle, the charging mode comprising a wired direct current charging mode, a wired alternating current charging mode and a wireless alternating current charging mode; judging the charging mode to obtain a judgment result; in response to the judgment result indicating that the charging mode is the wired direct current charging mode, determining that a fault detection mode is a first detection mode, wherein the first detection mode is to detect a state of a charging power grid by using a direct current charging station; in response to the judgment result indicating that the charging mode is the wired alternating current charging mode, determining that the fault detection mode is a second detection mode, wherein the second detection mode is to detect the state of the charging power grid by using a wired on-board charger assembly; in response to the judgment result indicating that the charging mode is the wireless alternating current charging mode, determining that the fault detection mode is a third detection mode, wherein the third detection mode is to detect the state of the charging power grid by using a wireless on-board charger assembly; performing fault detection on the state of the charging power grid according to the fault detection mode and outputting a fault detection result, wherein the state of the charging power grid comprises normal and abnormal.

2. The electric vehicle charging fault detection method of claim 1, wherein, The method further comprises: in response to the fault detection result indicating that the state of the charging power grid is abnormal, executing a preset fault processing procedure, wherein the preset fault processing procedure is used for processing a charging fault of the electric vehicle.

3. The electric vehicle charging fault detection method of claim 2, wherein, The preset fault processing procedure comprises at least one of the following: controlling the electric vehicle to stop charging, storing a fault code corresponding to the state of the charging power grid being abnormal, and outputting fault prompt information.

4. An electric vehicle charging fault detection system characterized by, The method comprises: an obtaining module configured to obtain a charging state of an electric vehicle, wherein the charging state comprises charging and not charging; a first determining module configured to, in response to the charging state being the charging, determine a charging mode of the electric vehicle, the charging mode comprising a wired direct current charging mode, a wired alternating current charging mode and a wireless alternating current charging mode; a second determining module configured to judge the charging mode to obtain a judgment result; in response to the judgment result indicating that the charging mode is the wired direct current charging mode, determine that a fault detection mode is a first detection mode, wherein the first detection mode is to detect a state of a charging power grid by using a direct current charging station; in response to the judgment result indicating that the charging mode is the wired alternating current charging mode, determine that the fault detection mode is a second detection mode, wherein the second detection mode is to detect the state of the charging power grid by using a wired on-board charger assembly; in response to the judgment result indicating that the charging mode is the wireless alternating current charging mode, determine that the fault detection mode is a third detection mode, wherein the third detection mode is to detect the state of the charging power grid by using a wireless on-board charger assembly; a detection module configured to perform fault detection on the state of the charging power grid according to the fault detection mode and output a fault detection result.

5. A vehicle comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to execute the computer program to perform the electric vehicle charging fault detection method in any one of claims 1 to 3.

6. A non-volatile storage medium, comprising: The non-volatile storage medium stores a computer program, and the computer program is configured to perform the electric vehicle charging fault detection method in any one of claims 1 to 3 when executed on a computer or a processor.

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