New energy automobile power interruption problem identification method, device, equipment and medium

Abstract

The invention provides a new energy automobile power interruption problem identification method and device, equipment and a medium, which are used for realizing identification of fault reasons causing new energy automobile power interruption. The new energy vehicle power interruption problem identification method comprises the steps that one or more historical discharge strokes of a target vehicle in a set time period are acquired; performing time sequence analysis based on a sliding window on each historical discharge stroke so as to determine a target sliding window meeting a preset abnormal condition; extracting a power interruption moment from the target sliding window; and extracting historical vehicle use data within a preset duration before and after the power interruption moment, and identifying a fault reason according to the extracted data.

Description

Technical Field

[0001] This application relates to the field of vehicle fault diagnosis, and particularly to a method, device, equipment and medium for identifying power interruption problems in new energy vehicles. Background Art

[0002] During the actual use of new energy vehicles, the problem of power interruption has become increasingly prominent, bringing great troubles and potential safety hazards to users. Power interruption not only affects the driving experience of users, but may also threaten the lives of drivers and passengers in emergency situations. Therefore, how to effectively identify and solve the power interruption problem of new energy vehicles has become an important issue that the industry urgently needs to solve. Summary of the Invention

[0003] The present invention provides a method, device, equipment and medium for identifying power interruption problems in new energy vehicles, which are used to identify the fault causes that lead to power interruption in new energy vehicles.

[0004] The technical solution of this application is as follows: A method for identifying power interruption problems in new energy vehicles, comprising: Obtaining one or more historical discharge trips of the target vehicle within a set time period; For each historical discharge trip, performing time series analysis based on a sliding window to determine a target sliding window that meets a preset abnormal condition; Extracting the power interruption moment from the target sliding window; Extracting historical vehicle usage data within a preset time period before and after the power interruption moment, and identifying the fault cause according to the extracted data.

[0005] Preferably, the method further comprises: If the fault cause comes from the vehicle itself, formulating a rescue invitation and an invitation for the manufacturer's engineer to troubleshoot the problem; If the fault cause does not come from the vehicle itself, formulating a rescue invitation.

[0006] Preferably, the step of obtaining one or more discharge trips of the target vehicle within a set time period comprises: Obtaining all historical vehicle usage data of the target vehicle within a set time period; Dividing all the historical vehicle usage data into one or more historical trips according to a preset division rule; Extracting historical discharge trips with a non-charging state from one or more historical trips.

[0007] Preferably, the step of performing time series analysis based on a sliding window for each historical discharge trip to determine a target sliding window that meets a preset abnormal condition comprises: For each historical discharge process, starting from the starting moment of the historical discharge process, a sliding window of a fixed length is loaded. If, within a certain sliding window, the data where the maximum long-time discharge power of the power battery is 0 for more than the first preset number of frames, the difference between the maximum and minimum values of the maximum long-time discharge power of the power battery is greater than the preset power, and the data where the vehicle speed exceeds the preset vehicle speed exceeds the second preset number of frames, determine this sliding window as the target sliding window.

[0008] Preferably, the step of extracting the power interruption moment from the target sliding window includes: Determine the moment when the maximum long-time discharge power of the power battery first appears as 0 within the target sliding window as the power interruption moment.

[0009] Preferably, the step of extracting the historical vehicle usage data within a preset time period before and after the power interruption moment and identifying the cause of the fault based on the extracted data includes: Extract the parameter information required for fault identification from the historical vehicle usage data within a preset time period before and after the power interruption moment. The parameter information required for fault identification includes: the fault code of the vehicle, SOC, gun insertion state, maximum single-cell voltage of the power battery, minimum single-cell voltage of the power battery, and median single-cell voltage of the power battery. Identify the cause of the fault based on the parameter information required for fault identification.

[0010] Preferably, the step of identifying the cause of the fault based on the parameter information required for fault identification includes: If the fault code of the vehicle includes a collision fault code, identify the cause of the fault as a collision fault. If the fault code of the vehicle includes an insulation fault code and the gun insertion state shows that the gun is inserted, identify the cause of the fault as a charging insulation fault. If the fault code of the vehicle includes an insulation fault code and the gun insertion state shows that the gun is not inserted, identify the cause of the fault as a discharging insulation fault. If the difference between the first difference and the second difference is greater than the first preset voltage and the minimum single-cell voltage of the power battery is lower than the second preset voltage, identify the cause of the fault as power interruption caused by large pressure difference at the end of discharging touching the cut-off voltage; the first difference is the difference between the median single-cell voltage and the minimum single-cell voltage of the power battery, and the second difference is the difference between the maximum single-cell voltage and the median single-cell voltage of the power battery. If the fault code of the vehicle is a vehicle-end fault, according to the vehicle-end fault code list, identify the cause of the fault as the fault cause corresponding to the vehicle-end fault code. If the SOC at the power interruption moment and the SOC at the starting moment in the target sliding window are both lower than the preset SOC, identify the cause of the fault as low battery power.

[0011] On the other hand, the present application also provides a device for identifying power interruption problems of new energy vehicles, comprising: A historical discharge trip acquisition module is used to acquire one or more historical discharge trips of a target vehicle within a set time period; A target sliding window determination module is used to perform a sliding window-based time series analysis on each historical discharge trip to determine a target sliding window that meets a preset abnormal condition; A power outage time extraction module, used to extract the power outage time from the target sliding window; The fault cause identification module is used to extract historical vehicle usage data within a preset time period before and after the power interruption moment, and identify the fault cause based on the extracted data.

[0012] On the other hand, the present application also provides a control device, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method for identifying power interruption problems of new energy vehicles as described above.

[0013] On the other hand, the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method for identifying power interruption problems of new energy vehicles as described above are implemented.

[0014] The beneficial effects of this application are: In response to the power outage problem of new energy vehicles, by accurately identifying the cause of the fault and taking targeted rescue and maintenance measures, it is possible to effectively improve the efficiency of fault handling, enhance the safety and reliability of the vehicle, and optimize the customer experience. For power outages caused by the vehicle itself, engineers are arranged to conduct on-site inspections and provide detailed analysis reports and disposal opinions to ensure that the problem is thoroughly resolved; for battery problems, suppliers are further notified to conduct disassembly and analysis, provide professional reports and suggestions, and ensure the safety and performance of the core components of the vehicle. For power outages caused by reasons other than the vehicle itself, rescue services are quickly arranged to reduce customer waiting time and improve customer satisfaction. Overall, this solution significantly improves the handling effect of power outage problems in new energy vehicles through systematic process design and professional technical support, providing strong guarantees for the safe operation of vehicles and the peace of mind of customers. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of a flow chart of a method for identifying a power outage problem of a new energy vehicle in an embodiment of the present application; Figure 2 is a flow chart of step S101; Figure 3 is a flow chart of step S102; Figure 4 It is a schematic flowchart of step S104; Figure 5 It is a schematic structural diagram of the power interruption problem identification device for a new energy vehicle according to an embodiment of the present application. Specific embodiments

[0016] The method of the present invention will be further described below in conjunction with embodiments and accompanying drawings. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation manners and specific operation processes are given, but the protection scope of the present invention is not limited to the following embodiments.

[0017] Referring to Figure 1 , an embodiment of the present application provides a method for identifying power interruption problems in a new energy vehicle, including: S101, obtaining one or more historical discharge trips of the target vehicle within a set time period; S102, for each historical discharge trip, performing time series analysis based on a sliding window to determine a target sliding window that meets a preset abnormal condition; S103, extracting the power interruption moment from the target sliding window; S104, extracting historical vehicle usage data within a preset time period before and after the power interruption moment, and identifying the cause of the failure according to the extracted data.

[0018] The target vehicle refers to a new energy vehicle for which power interruption problems need to be identified in the embodiment of the present application. For example, it includes pure electric vehicles, plug-in hybrid vehicles, etc. These vehicles are usually equipped with a power battery as the main power source, and the power output during their driving depends on the discharge state of the battery. For example, when a pure electric vehicle is driving on urban roads or highways, the normal operation of its power system is crucial for ensuring vehicle safety and performance. Therefore, such vehicles all belong to the category of target vehicles referred to in the present application.

[0019] The set time period refers to a specific time range defined when obtaining historical discharge trip data. The length of this time period can be flexibly set according to actual needs and analysis purposes. For example, the set time period can be one day, one week, or one month. This set time period is used to limit the extraction of historical discharge trip data related to power interruption problems from the historical data of the vehicle, so as to more accurately focus on the time periods that may have problems and improve the analysis efficiency and accuracy.

[0020] Among them, the historical discharge trip refers to the historical trip of the target vehicle in a discharged state. The historical discharge trip is generated from all the historical data of the vehicle within the set time period. Referring to Figure 2 , this step S101 specifically includes: S1011, Obtain all historical vehicle usage data of the target vehicle within a set time period; S1012, Divide all the historical vehicle usage data into one or more historical trips according to a preset division rule; S1013, Extract historical discharge trips with a non-charging status from one or more historical trips.

[0021] In this embodiment, the historical vehicle usage data includes parameters such as time, single battery cell voltage of the power battery, temperature of the power battery, SOC, long-term discharge power, vehicle speed, vehicle fault codes, insulation resistance value, charging status, gun plugging status, etc.

[0022] Since the vehicle usage times and user habits of different users are different, in this embodiment, according to the power-on time, power-off time, and the duration between power-on and power-off, all the historical vehicle usage data is divided into different historical trips and trip numbers are assigned. According to actual requirements, the duration between power-on and power-off can be set to any duration such as 10 min, 15 min, 30 min, etc. For example, if the duration between power-on and power-off is set to 10 min, that is, if the vehicle is powered on at 8:00 and powered off at 8:30, then since the duration between power-on and power-off exceeds 10 min, the data within the time period from 8:00 to 8:30 is divided into one historical trip. Among them, SOC refers to the remaining power of the power battery (State Of Charge, SOC).

[0023] Further, according to the charging status in a historical trip, select historical discharge trips with a non-charging status (i.e., the charging status is the discharging status).

[0024] In this embodiment, since it is to investigate the situation that causes abnormal power interruption of the vehicle, this situation only occurs in the vehicle discharging scenario. Therefore, in this step S1013, the data in the charging scenario is excluded.

[0025] Refer to Figure 3 , For each historical discharge trip, the steps of performing time series analysis based on a sliding window to determine a target sliding window that meets the preset abnormal conditions in S102 include: S1021, For each historical discharge trip, starting from the starting moment of the historical discharge trip, load a sliding window with a fixed length; S1022, If the data with the maximum long-term discharge power of the power battery being 0 in a certain sliding window exceeds the first preset number of frames, the difference between the maximum value and the minimum value of the maximum long-term discharge power of the power battery is greater than the preset power, and the data with the vehicle speed exceeding the preset vehicle speed exceeds the second preset number of frames, determine this sliding window as the target sliding window.

[0026] The fixed - length size means that the time span of the sliding window is preset and unchanged, and the specific length is determined according to actual requirements and analysis objectives; for example, the length of the sliding window can be set to 1 minute or 5 minutes according to specific circumstances. By sliding this fixed - length window on the time series of historical discharge trips, the data characteristics within each sliding window can be gradually analyzed to capture the local change rules of the data. In the identification of power interruption problems in new - energy vehicles, the sliding window can help focus on the battery and vehicle operating states within each time period to detect abnormal situations.

[0027] Loading the sliding window starting from the starting moment of the historical discharge trip means that the left boundary (starting point) of the sliding window is aligned with the starting moment of the discharge trip. For example, if the starting moment of the discharge trip is 10:00:00 and the length of the sliding window is 1 minute, then the range of the first sliding window is 10:00:00 - 10:01:00.

[0028] Within each sliding window, by analyzing the historical trip data within the sliding window, it is judged whether there are the following situations: the data where the maximum long - term discharge power of the power battery is 0 for more than the first preset number of frames, the difference between the maximum and minimum values of the maximum long - term discharge power of the power battery is greater than the preset power, and the data where the vehicle speed exceeds the preset vehicle speed for more than the second preset number of frames; if such a situation occurs, it indicates that an abnormal power interruption has occurred within the sliding window.

[0029] Specifically, if within the sliding window, the time when the maximum long - term discharge power of the power battery continuously remains 0 exceeds the first preset number of frames (such as 10 seconds), it may indicate that the power battery does not output power during this period, that is, a power interruption has occurred. If within the sliding window, the difference between the maximum and minimum values of the maximum long - term discharge power of the power battery exceeds the preset power (such as 50kW), it may indicate that the discharge power of the battery has fluctuated violently during this period, which may be a precursor to power interruption. If within the sliding window, the data where the vehicle speed exceeds the preset vehicle speed for more than the second preset number of frames (such as 10s), this indicates that within a certain period of time, the vehicle speed suddenly changes from a non - zero value to zero, or the vehicle speed fluctuates violently within a short period; this change may be related to the power interruption problem because power interruption will cause the vehicle to be unable to drive normally, thus causing abnormal vehicle speed. Therefore, when all of the above three conditions are met, it is identified that the target vehicle has an abnormal power interruption.

[0030] Furthermore, in step S103, the moment when the maximum long - term discharge power of the power battery first appears as 0 within the target sliding window is determined as the power interruption moment.

[0031] Through the above steps, the moment when the target vehicle has an abnormal power interruption can be accurately identified.

[0032] Referring to Figure 4 , in the embodiment of the present application, the step S104 of extracting the historical vehicle usage data within a preset time period before and after the power interruption moment and identifying the cause of the fault based on the extracted data includes: S1041. Extract the parameter information required for fault identification from the historical vehicle usage data within a preset time period before and after the power interruption moment. The parameter information required for fault identification includes: the fault code of the vehicle, SOC, charging gun state, maximum single-cell voltage of the power battery, minimum single-cell voltage of the power battery, and median single-cell voltage of the power battery; S1042. Identify the cause of the fault according to the parameter information required for fault identification.

[0033] In the embodiment of the present application, step S1042 specifically includes: S10421. If the fault code of the vehicle includes a collision fault code, identify the cause of the fault as a collision fault; S10422. If the fault code of the vehicle includes an insulation fault code and the charging gun state shows that the gun is plugged in, identify the cause of the fault as a charging insulation fault; S10423. If the fault code of the vehicle includes an insulation fault code and the charging gun state shows that the gun is not plugged in, identify the cause of the fault as a discharging insulation fault; S10424. If the difference between the first difference and the second difference is greater than the first preset voltage and the minimum single-cell voltage of the power battery is lower than the second preset voltage, identify the cause of the power interruption as the power interruption caused by the large pressure difference at the end of discharging touching the cut-off voltage; the first difference is the difference between the median single-cell voltage and the minimum single-cell voltage of the power battery, and the second difference is the difference between the maximum single-cell voltage and the median single-cell voltage of the power battery; S10425. If the fault code of the vehicle is a vehicle-end fault, identify the cause of the fault as the fault cause corresponding to the vehicle-end fault code according to the vehicle-end fault code list; S10426. If the SOC at the power interruption moment and the SOC at the start moment in the target sliding window are both lower than the preset SOC, identify the cause of the fault as low power.

[0034] For the case of S10424, since a power battery is usually composed of multiple single cells, the voltage distribution of these single cells reflects the health status and consistency of the battery pack; under normal circumstances, the voltages of the single cells should be relatively close and fluctuate within a certain safe range; if there is a large difference between the single - cell voltages, it may cause the total voltage of the battery pack to be unstable, thus affecting the power output of the vehicle. "Large difference in voltage at the end of discharge" means that the difference between the maximum single - cell voltage and the minimum single - cell voltage of the power battery is too large. If the difference between the first difference and the second difference is greater than a preset voltage (such as 0.1V), this indicates that there is an obvious imbalance in the voltage distribution inside the battery pack, and this imbalance may have affected the power output of the vehicle.

[0035] The power - battery system usually sets a cut - off voltage, that is, the lowest safe voltage of the battery. When the voltage of a certain single cell is lower than the cut - off voltage, the battery management system (BMS) will trigger a protection mechanism to cut off the output of the battery to prevent over - discharge of the battery; in the judgment logic, if the minimum single - cell voltage is lower than the preset cut - off voltage (such as 3.55V), it indicates that at least one single cell in the battery pack has reached a dangerous low - voltage state. Since the minimum single - cell voltage is lower than the preset cut - off voltage, this indicates that one or more single cells in the battery pack have been on the verge of over - discharge, which will trigger the protection mechanism of the battery management system BMS to cut off the power output, resulting in power interruption.

[0036] Therefore, when the following two conditions are met simultaneously, it can be considered that the power interruption is caused by "large difference in voltage at the end of discharge touching the cut - off voltage": 1) The difference between the first difference and the second difference is greater than the preset voltage; this indicates that there is an imbalance in the voltage distribution inside the battery pack, and this imbalance has reached a certain degree, which may affect the power output of the vehicle.

[0037] 2) The minimum single - cell voltage is lower than the preset cut - off voltage; this indicates that at least one single cell in the battery pack has reached a dangerous low - voltage state, triggering the protection mechanism of the battery management system BMS to cut off the power output.

[0038] The combination of these two conditions indicates that there is a serious imbalance in the voltage distribution during the discharge process of the battery pack, and the voltage of a certain single cell has dropped below the safety threshold, resulting in power interruption.

[0039] Based on the above step S104, the fault cause of abnormal power interruption of the target vehicle can be identified.

[0040] In order to further improve the user experience, this method in the embodiments of the present application further includes: S106, if the cause of the failure is from the vehicle itself, issue a rescue invitation and an invitation for the manufacturer's engineers to troubleshoot the problem; S107, if the cause of the failure is not from the vehicle itself, issue a rescue invitation.

[0041] In the embodiment of the present application, the three types of failures in steps S10423, S10424, and S10425 are classified as failures from the vehicle itself, and the three types of failures in steps S10421, S10422, and S10426 are classified as failures not from the vehicle itself (i.e., external reasons).

[0042] For a power interruption caused by the vehicle itself, in addition to arranging rescue for the customer, an engineer needs to be arranged to visit the site to troubleshoot the problem and provide an analysis report and handling opinions. If it is a battery problem, the supplier also needs to be notified to disassemble and analyze the battery and provide an analysis report and handling opinions.

[0043] For a power interruption caused by reasons other than the vehicle itself, only arrange rescue for the customer.

[0044] The above method of the embodiment of the present application aims at the problem of power interruption of new energy vehicles. By accurately identifying the cause of the failure and taking targeted rescue and repair measures, it can effectively improve the efficiency of failure handling, enhance the safety and reliability of the vehicle, and optimize the customer experience. For a power interruption caused by the vehicle itself, arrange an engineer to visit the site to troubleshoot and provide a detailed analysis report and handling opinions to ensure that the problem is completely solved; for a battery problem, further notify the supplier to conduct a disassembly analysis and provide professional reports and suggestions to ensure the safety and performance of the vehicle's core components. For a power interruption caused by reasons other than the vehicle itself, quickly arrange rescue services to reduce the customer's waiting time and improve customer satisfaction. Generally speaking, through systematic process design and professional technical support, this solution significantly improves the handling effect of the power interruption problem of new energy vehicles, providing a strong guarantee for the safe operation of the vehicle and the safe use of the customer.

[0045] By extracting the historical vehicle usage data within a preset time period before and after the power interruption moment, analyzing key parameters such as vehicle fault codes, SOC, gun plugging status, and battery cell voltages, accurately judge the cause of the failure. It can quickly distinguish between vehicle itself reasons (such as collision faults, insulation faults, battery problems, etc.) and non-vehicle itself reasons (such as improper operation, external environmental factors, etc.), avoid blind repair, and save time and costs.

[0046] For vehicles that cannot move, quickly arrange rescue services to ensure that the vehicle can be safely and timely towed to the repair center.

[0047] In case of power interruption caused by vehicle's own reasons, arrange for engineers to conduct a comprehensive inspection on-site, provide analysis reports and handling opinions on-site, and reduce the vehicle's downtime.

[0048] For battery problems, notify the supplier to conduct disassembly and analysis, provide professional reports and suggestions, ensure that the problems are thoroughly solved, and avoid repeated failures.

[0049] For battery problems such as large voltage difference at the end of discharge and touching the cut-off voltage, through the professional disassembly and analysis of the supplier, ensure the safety and performance of the battery. The detailed analysis reports and handling opinions provided by engineers help maintenance personnel accurately repair faults and improve the overall reliability of the vehicle.

[0050] Whether it is the rescue service or the engineer's on-site investigation, it can respond to customers' needs in a short time and reduce customers' waiting time. By providing detailed analysis reports and repair suggestions to vehicle owners, ensure that customers fully understand the cause of the fault and the repair plan, and enhance customers' trust.

[0051] Refer to Figure 5 , the embodiment of the present application further provides a device for identifying power interruption problems of new energy vehicles, including: A historical discharge trip acquisition module 201 for acquiring one or more historical discharge trips of a target vehicle within a set time period; A target sliding window determination module 202 for performing time series analysis based on a sliding window for each historical discharge trip to determine a target sliding window that meets a preset abnormal condition; A power interruption moment extraction module 203 for extracting the power interruption moment from the target sliding window; A fault cause identification module 204 for extracting historical vehicle usage data within a preset time period before and after the power interruption moment and identifying the fault cause based on the extracted data.

[0052] On the other hand, the present application also provides a control device, including a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, it implements the steps of the method for identifying power interruption problems of new energy vehicles as described above.

[0053] On the other hand, the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, it implements the steps of the method for identifying power interruption problems of new energy vehicles as described above.

[0054] It should be noted that the various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other.

[0055] Although the preferred embodiments of the embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present invention.

[0056] It should also be noted that in this text, the orientation or positional relationships indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings. This is for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or component referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention. In addition, relational terms such as "first" and "second" are used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations, nor can they be construed as indicating or implying relative importance. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or terminal device comprising a series of elements does not include those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "comprising one..." does not exclude the existence of additional identical elements in the process, method, article or terminal device comprising the element.

[0057] The technical solutions provided by the present invention have been introduced in detail above. Specific examples are used in this text to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the present invention. The content of this specification should not be construed as a limitation to the present invention. At the same time, for those of ordinary skill in the art, based on the present invention, there will be various forms of changes in the specific implementation manners and application scopes. It is not necessary and impossible to enumerate all the implementation manners here, and the obvious changes or variations derived therefrom are still within the protection scope of the present invention.

Claims

1. A method for identifying power interruption problems in new energy vehicles, characterized in that, Including: Obtain one or more historical discharge trips of the target vehicle within a set time period; For each historical discharge trip, perform time series analysis based on a sliding window to determine a target sliding window that meets a preset abnormal condition; Extract the power interruption moment from the target sliding window; Extract historical vehicle usage data within a preset time period before and after the power interruption moment, and identify the cause of the fault based on the extracted data.

2. The method for identifying the power interruption problem of a new energy vehicle according to claim 1, wherein The method further includes: If the cause of the fault comes from the vehicle itself, formulate a rescue invitation and an invitation for the manufacturer's engineer to troubleshoot the problem; If the cause of the fault does not come from the vehicle itself, formulate a rescue invitation.

3. The method for identifying the power interruption problem of a new energy vehicle according to claim 1, wherein The step of obtaining one or more discharge trips of the target vehicle within a set time period includes: Obtain all historical vehicle usage data of the target vehicle within a set time period; Divide all the historical vehicle usage data into one or more historical trips according to a preset division rule; Extract historical discharge trips with a non-charging state from one or more historical trips.

4. The method for identifying the power interruption problem of a new energy vehicle according to claim 1, characterized in that, The step of performing time series analysis based on a sliding window for each historical discharge trip to determine a target sliding window that meets a preset abnormal condition includes: For each historical discharge trip, start from the starting moment of the historical discharge trip and load a sliding window with a fixed length; If the data with the maximum long-term discharge power of the power battery being 0 in a certain sliding window exceeds the first preset frame, the difference between the maximum and minimum values of the maximum long-term discharge power of the power battery is greater than the preset power, and the data with the vehicle speed exceeding the preset vehicle speed exceeds the second preset frame, determine this sliding window as the target sliding window.

5. The method for identifying the power interruption problem of a new energy vehicle according to claim 4, characterized in that, The step of extracting the power interruption moment from the target sliding window includes: Determine the moment when the maximum long-term discharge power of the power battery first appears as 0 in the target sliding window as the power interruption moment.

6. The method for identifying the power interruption problem of a new energy vehicle according to claim 1, wherein The step of extracting historical vehicle usage data within a preset time period before and after the power interruption moment and identifying the cause of the fault based on the extracted data includes: Extract parameter information required for fault identification from the historical vehicle usage data within a preset time period before and after the power interruption moment. The parameter information required for fault identification includes: the vehicle's fault code, SOC, charging gun state, maximum single-cell voltage of the power battery, minimum single-cell voltage of the power battery, and median single-cell voltage of the power battery; Identify the cause of the fault based on the parameter information required for fault identification.

7. The method for identifying the power interruption problem of a new energy vehicle according to claim 6, characterized in that The step of identifying the cause of the fault based on the parameter information required for fault identification includes: If the vehicle's fault code includes a collision fault code, identify the cause of the fault as a collision fault; If the vehicle's fault code includes an insulation fault code and the charging gun state shows that the gun is plugged in, identify the cause of the fault as a charging insulation fault; If the vehicle's fault code contains an insulation fault code and the charging gun state shows that the gun is not plugged in, identify the cause of the fault as a discharge insulation fault; If the difference between the first difference and the second difference is greater than the first preset voltage and the minimum single-cell voltage of the power battery is lower than the second preset voltage, identify that the cause of the fault is the power interruption caused by the large voltage difference at the end of discharge touching the cut-off voltage; the first difference is the difference between the median single-cell voltage of the power battery and the minimum single-cell voltage of the power battery, and the second difference is the difference between the maximum single-cell voltage of the power battery and the median single-cell voltage of the power battery; If the fault code of the vehicle is a vehicle-end fault, according to the vehicle-end fault code list, identify that the cause of the fault is the fault cause corresponding to the vehicle-end fault code; If the SOC at the moment of power interruption and the SOC at the starting moment in the target sliding window are both lower than the preset SOC, identify that the cause of the fault is low battery power.

8. An identification device for power interruption problems of new energy vehicles, characterized in that, Including: A historical discharge trip acquisition module, configured to acquire one or more historical discharge trips of the target vehicle within a set time period; A target sliding window determination module, configured to perform time series analysis based on a sliding window for each historical discharge trip to determine a target sliding window that meets the preset abnormal conditions; A power interruption moment extraction module, configured to extract the power interruption moment from the target sliding window; A fault cause identification module, configured to extract historical vehicle usage data within a preset time period before and after the power interruption moment, and identify the fault cause according to the extracted data.

9. A control device, characterized in that, Including a processor, a memory, and a program or instruction stored on the memory and executable on the processor, and when the program or instruction is executed by the processor, the steps of the new energy vehicle power interruption problem identification method according to any one of claims 1 to 7 are implemented.

10. A readable storage medium, characterized in that, The program or instruction is stored on the readable storage medium, and when the program or instruction is executed by the processor, the steps of the new energy vehicle power interruption problem identification method according to any one of claims 1 to 7 are implemented.

Images