Method, device, equipment and medium for identifying power interruption problems in new energy vehicles

Abstract

The present invention provides a method, device, equipment, and medium for identifying power outages in new energy vehicles, designed to identify the cause of power outages in these vehicles. The method includes obtaining one or more historical discharge trips of a target vehicle within a set time period; performing a sliding window-based time series analysis on each historical discharge trip to determine a target sliding window that meets preset abnormality conditions; extracting the power outage moment from the target sliding window; and extracting historical vehicle usage data within a preset time period before and after the power outage moment, and identifying the cause of the fault based on the extracted data.

Description

Technical Field

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

[0002] Power interruptions are an increasingly prominent issue in the actual use of new energy vehicles, causing significant distress and safety risks for users. Power interruptions not only impact the driving experience but can also threaten the lives of drivers and passengers in emergencies. Therefore, effectively identifying and resolving power interruptions in new energy vehicles has become a critical issue for the industry. Summary of the Invention

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

[0004] The technical solution of this application is:

[0005] A method for identifying power interruption problems in new energy vehicles, comprising:

[0006] Obtain one or more historical discharge trips of the target vehicle within a set time period;

[0007] For each historical discharge trip, a sliding window-based time series analysis is performed to determine a target sliding window that meets the preset abnormal conditions;

[0008] Extracting the power interruption moment from the target sliding window;

[0009] 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.

[0010] Preferably, the method further comprises:

[0011] If the cause of the fault is due to the vehicle itself, a rescue request and a manufacturer engineer troubleshooting request will be made;

[0012] If the cause of the fault does not originate from the vehicle itself, a rescue invitation is made.

[0013] Preferably, the step of obtaining one or more discharge trips of the target vehicle within a set time period includes:

[0014] Obtain all historical vehicle usage data of the target vehicle within a set time period;

[0015] Dividing all the historical vehicle usage data into one or more historical trips according to a preset division rule;

[0016] A historical discharge trip with a charging state of non-charging is extracted from one or more historical trips.

[0017] Preferably, for each historical discharge trip, performing a sliding window-based time series analysis to determine a target sliding window that meets a preset abnormal condition includes:

[0018] For each historical discharge trip, a sliding window of fixed length is loaded starting from the starting moment of the historical discharge trip;

[0019] If data showing that the maximum long-term discharge power of the power battery is 0 appears in a certain sliding window for more than a 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 data showing that the vehicle speed exceeds the preset speed appears for more than a second preset frame, this sliding window is determined to be the target sliding window.

[0020] Preferably, the step of extracting the power outage moment from the target sliding window includes:

[0021] The moment when the maximum long-term discharge power of the power battery is 0 for the first time in the target sliding window is determined as the power interruption moment.

[0022] Preferably, the step of extracting historical vehicle usage data within a preset time period before and after the power outage, and identifying the cause of the fault based on the extracted data includes:

[0023] Extracting parameter information required for fault identification from historical vehicle usage data within a preset time period before and after the power interruption, the parameter information required for fault identification includes: vehicle fault code, SOC, battery plug status, maximum power battery cell voltage, minimum power battery cell voltage, and median power battery cell voltage;

[0024] Identify the cause of the fault based on the parameter information required for fault identification.

[0025] Preferably, the step of identifying the cause of the fault according to the parameter information required for fault identification includes:

[0026] If the vehicle's fault code includes a collision fault code, the fault cause is identified as a collision fault;

[0027] If the vehicle's fault code includes an insulation fault code and the plug status is displayed as plugged in, the fault cause is identified as a charging insulation fault;

[0028] If the vehicle's fault code includes an insulation fault code and the gun plug status is displayed as not plugged in, the fault cause is identified as a discharge insulation fault;

[0029] If the difference between the first difference and the second difference is greater than the first preset voltage and the minimum cell voltage of the power battery is lower than the second preset voltage, the fault cause is identified as a power interruption caused by a large voltage difference at the end of discharge touching the cut-off voltage; the first difference is the difference between the median cell voltage of the power battery and the minimum cell voltage of the power battery, and the second difference is the difference between the maximum cell voltage of the power battery and the median cell voltage of the power battery;

[0030] If the vehicle's fault code is a vehicle-side fault, identify the fault cause as the fault cause corresponding to the vehicle-side fault code according to the vehicle-side fault code list;

[0031] If the SOC at the moment of power interruption and the SOC at the start moment of the target sliding window are both lower than the preset SOC, the fault cause is identified as low battery.

[0032] On the other hand, the present application also provides a device for identifying power outage problems in new energy vehicles, comprising:

[0033] A historical discharge travel acquisition module is used to acquire one or more historical discharge travels of the target vehicle within a set time period;

[0034] 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;

[0035] A power outage time extraction module, configured to extract the power outage time from the target sliding window;

[0036] 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.

[0037] 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. When the program or instruction is executed by the processor, the steps of the method for identifying power interruption problems of new energy vehicles as described above are implemented.

[0038] On the other hand, the present application also provides a readable storage medium, which stores a program or instruction. 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.

[0039] The beneficial effects of this application are:

[0040] Regarding the power outage problem of new energy vehicles, by accurately identifying the cause of the fault and taking targeted rescue and repair 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 vehicle's core components. 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 has significantly improved 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

[0041] Figure 1 Schematic diagram of a flow chart of a method for identifying power outage problems in new energy vehicles in an embodiment of the present application;

[0042] Figure 2 is a flow chart of step S101;

[0043] Figure 3 is a flow chart of step S102;

[0044] Figure 4 is a flow chart of step S104;

[0045] Figure 5 This is a structural diagram of a device for identifying power interruption problems in new energy vehicles according to an embodiment of the present application. DETAILED DESCRIPTION

[0046] The present invention is further described below with reference to the following embodiments and accompanying drawings. This embodiment is based on the technical solution of the present invention and provides a detailed implementation method and specific operation process, but the scope of protection of the present invention is not limited to the following embodiments.

[0047] Reference Figure 1 , an embodiment of the present application provides a method for identifying power interruption problems in new energy vehicles, comprising:

[0048] S101, obtaining one or more historical discharge trips of a target vehicle within a set time period;

[0049] S102, performing a sliding window-based time series analysis on each historical discharge trip to determine a target sliding window that meets a preset abnormal condition;

[0050] S103, extracting the power interruption time from the target sliding window;

[0051] S104: 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.

[0052] Target vehicles are new energy vehicles for which power interruption identification is required in the embodiments of this application. These vehicles, for example, include pure electric vehicles and plug-in hybrid electric vehicles. These vehicles are typically equipped with a power battery as their primary power source, and their power output during driving depends on the battery's discharge state. For example, when a pure electric vehicle is driving on urban roads or highways, the normal operation of its power system is crucial to ensuring vehicle safety and performance. Therefore, such vehicles fall within the scope of target vehicles referred to in this application.

[0053] The set time period is a specific time range defined when acquiring historical trip data. The length of this time period can be flexibly set based on actual needs and analysis objectives. 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 trip data related to power outages from the vehicle's historical data, allowing for more precise focus on periods where issues may exist, improving analysis efficiency and accuracy.

[0054] The historical discharge journey refers to the historical journey of the target vehicle in the discharge state. The historical discharge journey is generated from all historical data of the vehicle within the set time period, referring to Figure 2 , the step S101 specifically includes:

[0055] S1011, obtaining all historical vehicle usage data of the target vehicle within a set time period;

[0056] S1012, dividing all the historical vehicle usage data into one or more historical trips according to a preset division rule;

[0057] S1013: Extract historical discharge trips with a charging state of non-charging from one or more historical trips.

[0058] In this embodiment, the historical vehicle usage data includes parameters such as time, power battery cell voltage, power battery temperature, SOC, long-term discharge power, vehicle speed, vehicle fault code, insulation resistance, charging status, and plug-in status.

[0059] Since different users have different car usage times and user habits, in this embodiment, all historical vehicle usage data are divided into different historical trips according to the power-on and power-off times and the power-on and power-off intervals, and are marked with trip numbers. According to actual needs, the power-on and power-off intervals can be set to any length such as 10 minutes, 15 minutes, 30 minutes, etc. For example, the power-on and power-off interval is set to 10 minutes, that is, if the vehicle is powered on at 8:00 and powered off at 8:30, then since the power-on and power-off interval is longer than 10 minutes, the data in the period of 8:00-8:30 will be divided into one historical trip.

[0060] Among them, SOC refers to the remaining power of the power battery (State Of Charge, SOC).

[0061] Furthermore, according to the charging state in a historical trip, a historical discharge trip in which the charging state is a non-charging state (ie, the charging state is a discharging state) is selected.

[0062] In this embodiment, since the purpose is to investigate the situation causing abnormal power interruption of the vehicle, which only occurs in the scenario of vehicle discharging, data in the charging scenario will be excluded in this step S1013.

[0063] Reference Figure 3 For each historical discharge trip, performing a sliding window-based time series analysis to determine a target sliding window that meets a preset abnormal condition, step S102 includes:

[0064] S1021, for each historical discharge stroke, starting from the start time of the historical discharge stroke, load a sliding window of fixed length;

[0065] S1022, if data showing that the maximum long-term discharge power of the power battery is 0 exceeds a 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 a preset power, and data showing that the vehicle speed exceeds a preset speed exceeds a second preset frame, determine that this sliding window is a target sliding window.

[0066] A fixed-length sliding window is defined by a pre-set, fixed time span. The specific length is determined based on actual needs and analysis objectives. For example, the sliding window length can be set to 1 minute or 5 minutes, depending on the specific situation. By sliding this fixed-length window across the time series of historical discharge trips, data characteristics within each sliding window can be gradually analyzed, capturing local variations in the data. When identifying power outages in new energy vehicles, sliding windows can help focus on the battery and vehicle operating status within each time period, thereby detecting anomalies.

[0067] Loading the sliding window from the start of the historical discharge trip means that the left edge (starting point) of the sliding window is aligned with the start of the discharge trip. For example, if the start time of the discharge trip is 10:00:00 and the sliding window length is 1 minute, then the range of the first sliding window is 10:00:00-10:01:00.

[0068] In each sliding window, by analyzing the historical travel data in the sliding window, it is determined whether: the data in which the maximum long-term discharge power of the power battery is 0 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 in which the vehicle speed exceeds the preset speed exceeds the second preset frame. If this occurs, it indicates that an abnormal power interruption has occurred in the sliding window.

[0069] Specifically, if the maximum long-term discharge power of the power battery remains at zero for longer than a first preset frame (e.g., 10 seconds) within the sliding window, this may indicate that the power battery has not output power during this period, i.e., a power outage has occurred. If the difference between the maximum and minimum values ​​of the maximum long-term discharge power of the power battery within the sliding window exceeds a preset power (e.g., 50 kW), this may indicate that the battery's discharge power has fluctuated dramatically during this period, which may be a precursor to a power outage. If the vehicle speed exceeds a preset speed for longer than a second preset frame (e.g., 10 seconds) within the sliding window, this indicates that the vehicle speed suddenly changed from a non-zero value to zero within a certain period of time, or that the vehicle speed fluctuated dramatically within a short period of time. Such a change may be related to a power outage, as a power outage can prevent the vehicle from driving normally, resulting in an abnormal speed. Therefore, when all three of the above conditions are met, an abnormal power outage is identified for the target vehicle.

[0070] Furthermore, in step S103 , the moment when the maximum long-term discharge power of the power battery becomes 0 for the first time in the target sliding window is determined as the power interruption moment.

[0071] Through the above steps, the moment when the target vehicle has an abnormal power interruption can be accurately identified.

[0072] Reference Figure 4 In the embodiment of the present application, step S104 of extracting historical vehicle usage data within a preset time period before and after the power outage and identifying the cause of the fault based on the extracted data includes:

[0073] S1041: Extracting parameter information required for fault identification from historical vehicle usage data within a preset time period before and after the power outage. The parameter information required for fault identification includes: vehicle fault code, SOC, battery plug status, maximum power battery cell voltage, minimum power battery cell voltage, and median power battery cell voltage.

[0074] S1042: Identify the cause of the fault based on the parameter information required for fault identification.

[0075] In the embodiment of the present application, step S1042 specifically includes:

[0076] S10421. If the vehicle fault code includes a collision fault code, identify the fault cause as a collision fault;

[0077] S10422: If the vehicle fault code includes an insulation fault code and the plug status is displayed as plugged in, identify the fault cause as a charging insulation fault;

[0078] S10423: If the vehicle's fault code includes an insulation fault code and the gun plug status is displayed as not plugged in, identify the fault cause as a discharge insulation fault;

[0079] S10424: If the difference between the first difference and the second difference is greater than the first preset voltage and the minimum cell voltage of the power battery is lower than the second preset voltage, identify the fault cause as a power interruption caused by a large voltage difference at the end of discharge touching the cutoff voltage; the first difference is the difference between the median cell voltage of the power battery and the minimum cell voltage of the power battery, and the second difference is the difference between the maximum cell voltage of the power battery and the median cell voltage of the power battery;

[0080] S10425. If the vehicle fault code is a vehicle-side fault, identify the fault cause as the fault cause corresponding to the vehicle-side fault code according to the vehicle-side fault code list;

[0081] 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, the fault cause is identified as low battery.

[0082] In the case of S10424, since power batteries are typically composed of multiple cells, the voltage distribution of these cells reflects the health and consistency of the battery pack. Under normal circumstances, the voltages of the cells should be relatively close and fluctuate within a certain safe range. If there are large differences between the cell voltages, the total voltage of the battery pack may become unstable, thereby affecting the vehicle's power output. "Large end-of-discharge voltage difference" refers to an excessive difference between the maximum and minimum cell voltages of the power battery. If the difference between the first and second differences is greater than a preset voltage (e.g., 0.1V), this indicates a significant imbalance in the voltage distribution within the battery pack, and this imbalance may have affected the vehicle's power output.

[0083] Power battery systems typically set a cutoff voltage, the battery's minimum safe voltage. When the voltage of a single cell falls below the cutoff voltage, the battery management system (BMS) triggers a protection mechanism, shutting off the battery's output to prevent over-discharge. In the judgment logic, if the minimum cell voltage falls below the preset cutoff voltage (e.g., 3.55V), it indicates that at least one cell in the battery pack has reached a dangerously low voltage. Since the minimum cell voltage is below the preset cutoff voltage, this indicates that one or more cells in the battery pack are on the verge of over-discharge. This triggers the BMS's protection mechanism, shutting off power output, resulting in a power outage.

[0084] Therefore, when the following two conditions are met at the same time, it can be considered that the power interruption is caused by "the voltage difference at the end of discharge is large and touches the cut-off voltage":

[0085] 1) The difference between the first difference and the second difference is greater than the preset voltage; this indicates that the voltage distribution within the battery pack is uneven, and this imbalance has reached a certain level, which may affect the power output of the vehicle.

[0086] 2) The minimum cell voltage is lower than the preset cut-off voltage; this indicates that at least one cell in the battery pack has reached a dangerously low voltage state, triggering the protection mechanism of the battery management system (BMS) and cutting off power output.

[0087] The combination of these two conditions indicates that the battery pack has serious voltage imbalance during discharge, and the voltage of a single cell has fallen below the safety threshold, resulting in power interruption.

[0088] Based on the above step S104, the fault cause of the abnormal power interruption of the target vehicle can be identified.

[0089] In order to further enhance the user experience, the method in the embodiment of the present application further includes:

[0090] S106: If the fault is caused by the vehicle itself, a rescue request and a manufacturer engineer troubleshooting request are issued;

[0091] S107: If the cause of the fault does not come from the vehicle itself, a rescue invitation is made.

[0092] In the embodiment of the present application, the three faults in steps S10423, S10424 and S10425 are classified as faults originating from the vehicle itself, and the three faults in steps S10421, S10422 and S10426 are classified as faults originating from outside the vehicle itself (i.e., external causes).

[0093] If a power outage is caused by a vehicle issue, in addition to arranging a rescue for the customer, we will also arrange for an engineer to visit the customer to investigate the issue and provide an analysis report and recommended solutions. If the issue is with the battery, we will also notify the supplier to disassemble the battery and provide an analysis report and recommended solutions.

[0094] For power outages caused by reasons other than the vehicle itself, only rescue will be arranged for the customer.

[0095] The above-mentioned method of the embodiment of the present application is aimed at the problem of power interruption of new energy vehicles. By accurately identifying the cause of the fault and taking targeted rescue and maintenance measures, it can effectively improve the efficiency of fault handling, enhance the safety and reliability of the vehicle, and optimize the customer experience. For power interruptions 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 interruptions 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 has significantly improved the handling effect of power interruption 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.

[0096] By extracting historical vehicle usage data within a preset timeframe before and after a power outage, the system analyzes key parameters such as vehicle fault codes, SOC, battery plug status, and battery cell voltage to accurately determine the cause of the fault. This system can quickly distinguish between vehicle-related causes (such as collisions, insulation failures, and battery issues) and non-vehicle-related causes (such as improper operation and external environmental factors), avoiding unplanned repairs and saving time and costs.

[0097] For vehicles that cannot be driven, rescue services are quickly arranged to ensure that the vehicle can be towed to the repair center safely and promptly.

[0098] For power outages caused by the vehicle itself, we arrange engineers to conduct a comprehensive inspection on site, provide analysis reports and disposal suggestions on site, and reduce vehicle downtime.

[0099] For battery issues, notify the supplier to conduct disassembly analysis and provide professional reports and suggestions to ensure that the problem is thoroughly resolved and recurring failures are avoided.

[0100] For battery issues like a large voltage differential at the end of discharge that reaches the cutoff voltage, the supplier provides professional disassembly and analysis to ensure battery safety and performance. The detailed analysis reports and recommended solutions provided by engineers help maintenance personnel accurately repair faults and improve overall vehicle reliability.

[0101] Whether it's rescue services or on-site engineer inspections, we can respond to customer needs quickly, reducing wait times. By providing car owners with detailed analysis reports and repair recommendations, we ensure they fully understand the cause of the problem and the repair plan, enhancing customer trust.

[0102] Reference Figure 5 , the embodiment of the present application also provides a device for identifying power interruption problems in new energy vehicles, comprising:

[0103] A historical discharge travel acquisition module 201 is used to acquire one or more historical discharge travels of a target vehicle within a set time period;

[0104] A target sliding window determination module 202 is configured to perform a sliding window-based time series analysis on each historical discharge trip to determine a target sliding window that meets a preset abnormality condition;

[0105] A power outage time extraction module 203 is used to extract the power outage time from the target sliding window;

[0106] The fault cause identification module 204 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.

[0107] 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. When the program or instruction is executed by the processor, the steps of the method for identifying power interruption problems of new energy vehicles as described above are implemented.

[0108] On the other hand, the present application also provides a readable storage medium, which stores a program or instruction. 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.

[0109] It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the various embodiments can be referenced to each other.

[0110] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they become aware of the basic creative concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0111] It should also be noted that, in this document, the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are for the purpose of facilitating the description of the present invention and simplifying the description, rather than indicating or implying that the devices or components referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting 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 that there is any actual relationship or order between these entities or operations, nor should they be understood as indicating or implying relative importance. Moreover, the terms "comprises", "includes" or any other variants thereof are 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 explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or terminal device comprising the element.

[0112] The technical solutions provided by the present invention have been described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is intended only to facilitate understanding of the present invention, and the contents of this specification should not be construed as limiting the present invention. Furthermore, those skilled in the art will appreciate that various modifications may be made to the specific implementation methods and scope of application according to the present invention. It is not necessary and impossible to exhaustively enumerate all implementation methods herein, and any obvious variations or modifications derived therefrom remain within the scope of protection of the present invention.

Claims

1. A method for identifying power interruption problems in new energy vehicles, characterized in that: include: Obtain one or more historical discharge trips of the target vehicle within a set time period; For each historical discharge trip, a sliding window-based time series analysis is performed to determine the target sliding window that meets the preset abnormal conditions. Specifically, the following steps are performed: For each historical discharge trip, a sliding window of fixed length is loaded starting from the starting moment of the historical discharge trip; If, within a certain sliding window, data showing that the maximum long-term discharge power of the power battery is 0 exceeds a 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 a preset power, and data showing that the vehicle speed exceeds a preset speed exceeds a second preset frame, the sliding window is determined to be a target sliding window; Extracting 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 power interruption problems of new energy vehicles according to claim 1, characterized in that: The method further comprises: If the cause of the fault is due to the vehicle itself, a rescue request and a manufacturer engineer troubleshooting request will be made; If the cause of the fault does not originate from the vehicle itself, a rescue invitation is made.

3. The method for identifying power interruption problems of new energy vehicles according to claim 1, characterized in that: The steps of obtaining one or more discharge trips of the target vehicle within a set time period include: Obtain 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; A historical discharge trip with a charging state of non-charging is extracted from one or more historical trips.

4. The method for identifying power interruption problems of new energy vehicles according to claim 1, characterized in that: The step of extracting the power interruption moment from the target sliding window comprises: The moment when the maximum long-term discharge power of the power battery is 0 for the first time in the target sliding window is determined as the power interruption moment.

5. The method for identifying power interruption problems of new energy vehicles according to claim 1, characterized in that: The steps of extracting historical vehicle usage data within a preset time period before and after the power outage and identifying the cause of the fault based on the extracted data include: Extracting parameter information required for fault identification from historical vehicle usage data within a preset time period before and after the power interruption, the parameter information required for fault identification includes: vehicle fault code, SOC, battery plug status, maximum power battery cell voltage, minimum power battery cell voltage, and median power battery cell voltage; Identify the cause of the fault based on the parameter information required for fault identification.

6. The method for identifying power interruption problems of new energy vehicles according to claim 5, characterized in that: Based on the parameter information required for fault identification, the steps to identify the cause of the fault include: If the vehicle's fault code includes a collision fault code, the fault cause is identified as a collision fault; If the vehicle's fault code includes an insulation fault code and the plug status is displayed as plugged in, the fault cause is identified as a charging insulation fault; If the vehicle's fault code includes an insulation fault code and the gun plug status is displayed as not plugged in, the fault cause is identified 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 cell voltage of the power battery is lower than the second preset voltage, the fault cause is identified as a power interruption caused by a large voltage difference at the end of discharge touching the cut-off voltage; the first difference is the difference between the median cell voltage of the power battery and the minimum cell voltage of the power battery, and the second difference is the difference between the maximum cell voltage of the power battery and the median cell voltage of the power battery; If the vehicle's fault code is a vehicle-side fault, identify the fault cause as the fault cause corresponding to the vehicle-side fault code according to the vehicle-side fault code list; If the SOC at the moment of power interruption and the SOC at the start moment of the target sliding window are both lower than the preset SOC, the fault cause is identified as low battery.

7. A device for identifying power outage problems in new energy vehicles, characterized in that: The new energy vehicle power interruption problem identification device is a device that utilizes the new energy vehicle power interruption problem identification method according to any one of claims 1 to 6, and the new energy vehicle power interruption problem identification device includes: A historical discharge travel acquisition module is used to acquire one or more historical discharge travels of the 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, configured 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.

8. A control device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein when the program or instruction is executed by the processor, the steps of the method for identifying power interruption problems of new energy vehicles as described in any one of claims 1 to 6 are implemented.

9. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the method for identifying power interruption problems of new energy vehicles as described in any one of claims 1 to 6 are implemented.

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