Method and system for handling power battery voltage sampling disconnection fault and storage medium

Abstract

The present disclosure provides a power battery voltage sampling disconnection fault processing method, system and storage medium, relating to the technical field of new energy automobile battery management, wherein the method comprises: identifying whether there is a voltage sampling disconnection fault in the power battery; when there is a voltage sampling disconnection fault, obtaining the current voltage sampling disconnection fault cumulative existence time of the power battery; when the voltage sampling disconnection fault cumulative existence time is greater than a preset time threshold, controlling the new energy vehicle using the power battery to enter a limp mode, prohibiting energy recovery, and prohibiting charging; when the voltage sampling disconnection fault cumulative existence time is less than the time threshold, obtaining the current SOC value of the power battery, and performing differentiated fault degradation processing on the charging and discharging working conditions of the new energy vehicle based on the SOC value. The method optimizes the control logic, can effectively ensure the safety of the battery, can avoid the risk of sudden loss of power of the vehicle, and improves the operation reliability and safety of the vehicle.

Description

Technical Field

[0001] This disclosure belongs to the field of new energy vehicle battery management technology, specifically relating to a method, system, and storage medium for handling power battery voltage sampling disconnection faults. Background Technology

[0002] New energy commercial vehicles, due to their complex operating conditions and high loads, generally employ large-capacity power batteries designed based on high-voltage platforms. This type of power battery requires a large number of individual cells connected in series and parallel to form a battery bank to meet the vehicle's operational needs. Therefore, effective voltage monitoring of the numerous individual cells within the power battery to ensure they are within their normal operating range is crucial.

[0003] In related technologies, when a single-cell voltage sampling disconnection fault occurs, the Battery Management System (BMS) cannot obtain the actual voltage data of the disconnected cell. It typically requests the vehicle to clear power or enter limp mode, excessively limiting vehicle power to protect the battery. However, the operating conditions of new energy commercial vehicles are very complex, and excessively limiting vehicle power may cause economic losses or safety risks to the vehicle and its occupants, such as causing the vehicle to suddenly lose power. Therefore, accurate diagnosis of the battery voltage sampling disconnection fault based on the actual state of the battery is crucial to ensuring the safe operation of the vehicle.

[0004] While some related technologies have proposed diagnostic and handling methods for single cell voltage sampling disconnection faults, they lack consideration for important factors such as the remaining state of charge (SOC value) of the power battery, resulting in fault handling strategies that are either too aggressive or not refined enough. Summary of the Invention

[0005] This disclosure provides a method, system, and storage medium for handling power battery voltage sampling disconnection faults, aiming to at least partially solve the technical problem that the inadequate handling of power battery voltage sampling disconnection faults in related technologies leads to vehicle operation risks.

[0006] At least one embodiment of this disclosure provides a method for handling power battery voltage sampling disconnection faults, applied to vehicle power batteries integrating multiple individual cells, including:

[0007] Identify whether the power battery has a voltage sampling disconnection fault; When the power battery has a voltage sampling disconnection fault, the cumulative duration of the voltage sampling disconnection fault is obtained. When the cumulative duration of the voltage sampling disconnection fault exceeds a preset time threshold, the new energy vehicle using the power battery is controlled to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging; and, When the cumulative duration of the voltage sampling disconnection fault is less than the time threshold, the current SOC value of the power battery is obtained, and differentiated fault degradation processing is performed on the charging and discharging conditions of the new energy vehicle based on the SOC value.

[0008] The above solution offers the following technical advantages: Addressing the technical problem of insufficient handling of power battery voltage sampling disconnection faults in related technologies, which leads to vehicle operation risks, this solution proposes an optimized control method for handling power battery voltage sampling disconnection faults. This method is applicable to new energy commercial vehicles operating under complex conditions. Based on the current SOC value of the power battery, this method performs differentiated fault degradation processing on the charging and discharging conditions of the new energy vehicle. This effectively ensures the safety of the power battery and avoids the risk of sudden power loss caused by directly triggering limp mode, thus improving vehicle operational reliability and safety.

[0009] The method provided in at least one embodiment of this disclosure further includes: When the power battery experiences a voltage sampling disconnection fault or at least one individual cell voltage acquisition failure, the voltage fault threshold in the voltage sampling disconnection fault diagnosis strategy used to determine whether the power battery currently has a voltage sampling disconnection fault is adjusted, so that the range of individual cell voltages used to characterize the absence of a voltage sampling disconnection fault is reduced; and, The voltage sampling disconnection fault diagnosis strategy after adjusting the voltage fault threshold will be used to obtain the cumulative existence time of the voltage sampling disconnection fault in the current control cycle or to determine whether the power battery has a voltage sampling disconnection fault in the next control cycle.

[0010] The above solution has the following technical effects: when there is a voltage sampling disconnection fault in the power battery, or when the voltage of some individual cells cannot be identified, the voltage fault threshold is reduced, the range of individual cell voltages used to characterize the absence of voltage sampling disconnection fault becomes smaller, thereby making it impossible to charge or limited to charge in the high SOC range, and impossible to discharge or limited to discharge in the low SOC range, while the vehicle can still drive normally and safely.

[0011] The method provided in at least one embodiment of this disclosure further includes: When there is no voltage sampling disconnection fault in the power battery, the processing for the voltage sampling disconnection fault ends, and the determination of whether there is a voltage sampling disconnection fault in the power battery continues in the next control cycle.

[0012] The above solution has the following technical effect: realizing closed-loop management of fault diagnosis.

[0013] The method provided in at least one embodiment of this disclosure further includes: When the cumulative duration of the voltage sampling disconnection fault is less than the time threshold, the number of voltage sampling disconnections of the power battery is obtained, and differentiated fault degradation processing is performed on the charging and discharging conditions of the new energy vehicle based on the number of voltage sampling disconnections and the SOC value.

[0014] The above solution has the following technical effects: it optimizes the control strategy and performs different degradation processing on the charging and discharging conditions of new energy vehicles according to the number of voltage sampling disconnections and the SOC value of the power battery. This can not only ensure the safety of the power battery, but also avoid the risk of sudden loss of power of the vehicle, thereby improving the reliability and safety of new energy vehicles.

[0015] In at least one embodiment of the method provided in this disclosure, the differentiated fault degradation processing of the charging and discharging conditions of the new energy vehicle based on the SOC value includes: When the SOC value is less than a preset first threshold, the new energy vehicle is controlled to enter limp mode to limit the discharge current and maintain normal charging function. When the SOC value exceeds a preset second threshold, the new energy vehicle is controlled to prohibit energy recovery, prohibit charging, and maintain normal discharge function; and, When the SOC value is between the first threshold and the second threshold, the new energy vehicle is controlled not to perform fault degradation processing in order to maintain the normal charging and discharging function of the power battery. Wherein, the first threshold is less than the second threshold.

[0016] The above solution has the following technical effects: by performing graded processing, the driving and operation capabilities of new energy vehicles are maintained to a great extent while ensuring the safety of the power battery.

[0017] In at least one embodiment of the method provided in this disclosure, the differentiated fault degradation processing of the charging and discharging conditions of the new energy vehicle based on the number of voltage sampling disconnections and the SOC value includes: When the number of voltage sampling disconnections is less than a preset threshold, the serial number of the target cell that is currently actually disconnected in the power battery is obtained. Determine whether the serial number of the target single cell belongs to the serial number set of key single cells in the power battery; When the serial number of the target single battery cell belongs to the set of serial numbers, differentiated fault degradation processing is performed on the charging and discharging conditions of the new energy vehicle based on the SOC value; and, When the serial number of the target single cell does not belong to the serial number set, the new energy vehicle is controlled not to perform fault degradation processing in order to maintain the normal charging and discharging function of the power battery.

[0018] The above solution has the following technical effects: it enables refined classification and processing of power battery voltage sampling disconnection faults under different operating conditions.

[0019] In at least one embodiment of the method provided in this disclosure, the differentiated fault degradation processing of the charging and discharging conditions of the new energy vehicle based on the number of voltage sampling disconnections and the SOC value further includes: When the number of voltage sampling disconnections exceeds a preset threshold, the new energy vehicle is controlled to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging.

[0020] The above solution has the following technical effect: when the number of voltage sampling disconnections exceeds the safety threshold, it promptly triggers high-level fault response measures.

[0021] The method provided in at least one embodiment of this disclosure further includes: Obtain historical voltage data for each individual cell in the power battery, wherein the historical voltage data includes data prior to the current time. n The voltage of a single battery cell at the end of the second charge and the voltage before the current moment n The voltage of a single cell at the end of the second discharge; Based on the historical voltage data, obtain the serial number of the first type of single cell that has been at the highest voltage among all single cells at the end of at least one charge before the current moment; Based on the historical voltage data, obtain the serial number of the second type of single cell that has had at least one discharge termination at the lowest value among all single cell voltages before the current moment; and, A set of serial numbers for the key individual cells is generated based on the serial numbers of the first type of individual cells and the second type of individual cells, such that the set of serial numbers includes the serial numbers of the first type of individual cells and the serial numbers of the second type of individual cells.

[0022] The above solution has the following technical effects: improving the timeliness and pertinence of fault handling.

[0023] At least one embodiment of this disclosure also provides a power battery voltage sampling disconnection fault handling system, applied to an on-board power battery integrating multiple individual cells, including: The identification unit is configured to identify whether the power battery has a voltage sampling disconnection fault; The acquisition unit is configured to acquire the cumulative duration of the voltage sampling disconnection fault of the power battery when the power battery has a voltage sampling disconnection fault. The first-level control unit is configured to, when the cumulative duration of the voltage sampling disconnection fault exceeds a preset time threshold, control the new energy vehicle using the power battery to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging; and, The second-level control unit is configured to obtain the current SOC value of the power battery when the cumulative existence time of the voltage sampling disconnection fault is less than the time threshold, and to perform differentiated fault degradation processing on the charging and discharging conditions of the new energy vehicle based on the SOC value.

[0024] At least one embodiment of this disclosure also provides a storage medium storing a program or instructions, wherein the program or instructions, when executed by a processor, implement the steps of the method provided in any embodiment of this disclosure.

[0025] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0027] Figure 1 A flowchart of a power battery voltage sampling disconnection fault handling method provided for at least one embodiment of this disclosure; Figure 2 A flowchart of a fault degradation processing scheme based on SOC value provided in at least one embodiment of this disclosure; Figure 3 Flowchart of another power battery voltage sampling disconnection fault handling method provided in at least one embodiment of this disclosure; Figure 4 Flowchart of another power battery voltage sampling disconnection fault handling method provided for at least one embodiment of this disclosure; Figure 5 Flowchart of another power battery voltage sampling disconnection fault handling method provided for at least one embodiment of this disclosure; Figure 6 A flowchart of a multi-parameter-based fault degradation processing scheme provided for at least one embodiment of this disclosure; Figure 7 Example flowchart of a power battery voltage sampling disconnection fault handling method provided in at least one embodiment of this disclosure; Figure 8A structural block diagram of a power battery voltage sampling disconnection fault handling system provided in at least one embodiment of this disclosure; Figure 9 A structural block diagram of a program product provided for at least one embodiment of this disclosure.

[0028] Figure label: 100 - Power battery voltage sampling disconnection fault handling system; 101 - Identification unit; 102 - Acquisition unit; 103 - First-level control unit; 104 - Second-level control unit; 201 - Processor; 202 - Memory; 203 - Input device; 204 - Output device; H - Time threshold; N - Quantity threshold; S 1- First threshold; S 2- Second threshold; BMS - Battery Management System. Detailed Implementation

[0029] The present disclosure will now be described in further detail with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the disclosure. Similarly, the following embodiments are only some, not all, embodiments of the present disclosure, and all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this disclosure.

[0030] The terms "first," "second," and "third" used in the embodiments of this disclosure are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first," "second," and "third" may explicitly or implicitly include at least one of that feature.

[0031] In the description of this disclosure, "multiple" means at least two, such as two or three, unless otherwise expressly and specifically limited.

[0032] In this disclosure, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0033] The terms “comprising” and “having”, and any variations thereof, used in this disclosure are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or components inherent to such processes, methods, products, or devices.

[0034] The term "battery management system" in this disclosure is abbreviated as BMS.

[0035] The term "remaining state of charge of the battery" in this disclosure is abbreviated as SOC value and is usually expressed as a percentage.

[0036] In this embodiment of the disclosure, the term "voltage sampling disconnection fault" refers to an abnormal situation in the power battery voltage sampling circuit where the voltage signal of a single cell cannot be collected normally due to reasons such as physical disconnection of the line, poor contact, or interruption of the signal transmission link.

[0037] In the embodiments of this disclosure, the term "cumulative duration of voltage sampling disconnection fault" refers to the total duration of the disconnection fault in the power battery voltage sampling circuit.

[0038] The term "fault degradation" in this disclosure refers to an important safety fault-tolerant mechanism in an engineering system. When the system detects a failure in a critical component or function, it proactively limits or adjusts the system performance through a pre-designed strategy, switching it from a full-function mode to a restricted safety operation mode.

[0039] In this embodiment of the disclosure, the term "number of voltage sampling disconnections" refers to the total number of voltage sampling channels of individual cells that have experienced voltage sampling disconnection faults in the power battery voltage sampling circuit.

[0040] The technical approach involved in this disclosure will be briefly described below.

[0041] To address the technical problem of insufficient handling of power battery voltage sampling disconnection faults in related technologies, which leads to vehicle operation risks, this disclosure proposes an optimized control method for handling power battery voltage sampling disconnection faults, applicable to new energy commercial vehicles operating under complex conditions. This method performs differentiated fault degradation processing on the charging and discharging conditions of the new energy vehicle based on the current SOC value of the power battery. This effectively ensures the safety of the power battery and avoids the risk of sudden power loss caused by directly triggering limp mode, thus improving vehicle operational reliability and safety.

[0042] Based on this, the method disclosed herein reduces the voltage fault threshold when the power battery has a voltage sampling disconnection fault or cannot identify the voltage of certain individual cells. This reduces the range of individual cell voltages (also known as the usable voltage range) used to characterize the absence of a voltage sampling disconnection fault, thereby preventing charging or limiting charging in the high SOC range (SOC value greater than the second threshold) and preventing discharging or limiting discharging in the low SOC range (SOC value less than the first threshold), while the vehicle can still drive normally and safely.

[0043] Based on this, the method disclosed herein performs different degradation processing on the charging and discharging conditions of new energy vehicles based on multi-dimensional parameters such as the number of disconnected wires and the SOC value of the power battery in real time, further optimizing the control strategy, making reasonable judgments based on the actual state of the power battery, and effectively ensuring the current operation of the vehicle.

[0044] Figure 1 This document presents a flowchart illustrating a method for handling voltage sampling disconnection faults in a power battery, provided in at least one embodiment of this disclosure. This method can be applied to vehicle-mounted power batteries integrating multiple individual battery cells, including but not limited to their battery management system (BMS). Figure 1 As shown, the method may include the following steps S10-S40.

[0045] Step S10: Identify whether the power battery has a voltage sampling disconnection fault.

[0046] Step S20: When there is a voltage sampling disconnection fault in the power battery, obtain the cumulative duration of the voltage sampling disconnection fault in the power battery.

[0047] Step S30: When the cumulative duration of the voltage sampling disconnection fault exceeds a preset time threshold, control the new energy vehicle using the power battery to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging.

[0048] Step S40: When the cumulative duration of voltage sampling disconnection fault is less than the time threshold, obtain the current SOC value of the power battery, and perform differentiated fault degradation processing on the charging and discharging conditions of new energy vehicles based on the SOC value.

[0049] It should be noted that the time thresholds in steps S30 and S40 can be pre-calibrated fixed values ​​or dynamic values ​​set based on multiple factors such as the type of individual battery cells, rated capacity, ambient temperature, and vehicle safety level. The calibration of this time threshold is intended to provide the driver with reaction time after becoming aware of the voltage sampling disconnection fault, while simultaneously preventing the vehicle from continuing to operate in the fault mode. Step S30 ensures that when the cumulative duration of the voltage sampling disconnection fault exceeds the preset time threshold, even if the battery voltage is within a safe range, vehicle performance must be limited to prompt the driver to proceed to the nearest service station for repairs.

[0050] In the above scheme, this disclosure does not limit the voltage sampling disconnection fault identification strategy in step S10. In practical application scenarios, various voltage sampling disconnection fault identification strategies in related technologies can be adopted, using real-time individual cell voltages or historical individual cell voltages for identification. For example, it can be judged by comparing whether the deviation between the voltage sampling value of each individual cell and the theoretically calculated value of the total voltage of the power battery exceeds a preset threshold: if the absolute value of the deviation is greater than the threshold, it is initially determined that there is a voltage sampling disconnection fault; or by detecting the impedance characteristics of the voltage sampling circuit, when the impedance value of the sampling circuit is much greater than the normal operating range, it is identified as a disconnection fault; it can also be combined with time dimension analysis, if the voltage sampling value of a certain individual cell remains constant or shows non-physical jumps in multiple consecutive sampling periods, such as suddenly becoming 0 or far exceeding the normal voltage range, it is determined that there is a disconnection problem in the sampling line corresponding to that individual cell. In addition, multiple identification methods can be integrated for cross-validation, such as simultaneously using total voltage deviation comparison and sampling circuit impedance detection, to further improve the accuracy and robustness of fault identification, ensuring that voltage sampling disconnection faults can be detected in a timely and reliable manner. When the system executes step S10, it can select an appropriate voltage sampling disconnection fault identification strategy based on the vehicle model and operating conditions to ensure accurate identification of voltage sampling disconnection faults.

[0051] In the above scheme, this disclosure does not limit the scheme for obtaining the cumulative existence time of voltage sampling disconnection fault in step S20. In practical application scenarios, the scheme for obtaining the cumulative existence time of voltage sampling disconnection fault can be configured as follows: when the system detects a voltage sampling disconnection fault signal of a single cell, the timing module is started to accumulate the duration; if the fault signal continues to exist in subsequent sampling periods, the timing module continues to accumulate the fault existence time; if the fault signal disappears briefly, the timing module does not reset and continues to accumulate; if the duration of the fault signal disappearance exceeds a set time window, the cumulative existence time of voltage sampling disconnection fault is output and the timing module is reset, and accumulation restarts when the next fault signal appears. In addition, the scheme for obtaining the cumulative existence time of voltage sampling disconnection fault can also be based on the time interval of the sampling period, counting the number of sampling periods in which the fault occurs consecutively, and multiplying this number by the duration of a single sampling period to obtain the cumulative existence time of the fault. When the system executes step S20, it can select a suitable scheme for obtaining the cumulative existence time of voltage sampling disconnection fault based on the vehicle model and operating conditions to adapt to different vehicles and different application scenarios.

[0052] In the above scheme, this disclosure does not limit the fault degradation processing scheme based on the SOC value in step 40. In practical application scenarios, in addition to the scheme described in the following embodiments, a battery health status (SOH) adjustment strategy can also be combined: for healthy batteries with SOH ≥ 85%, the degradation threshold can be appropriately relaxed to retain power performance; for aging batteries with SOH < 85%, the restrictions can be tightened to reduce battery load. When the system executes step 40, it can flexibly select a suitable fault degradation processing scheme according to hardware configuration and reliability requirements to adapt to different new energy vehicle operating scenarios.

[0053] In the above scheme, this disclosure does not limit the fault handling when the cumulative existence time of voltage sampling disconnection fault is equal to the time threshold. It can be combined into step 30 or step S40 according to different new energy vehicle operation scenarios.

[0054] Some embodiments of this disclosure also provide systems, storage media, and program products corresponding to the methods described above.

[0055] At least one embodiment of this disclosure provides a method applicable to any existing vehicle application scenario where there is a risk of cell voltage sampling disconnection. For example, in daily driving, frequent starts and stops or bumpy road conditions in new energy pure electric passenger vehicles can easily lead to loosening or poor contact of the voltage sampling harness, posing a risk of disconnection. In hybrid commercial vehicles operating under long-term heavy loads or high vibration conditions, wear and aging of the sampling lines may cause disconnection problems. In harsh working environments, electric engineering vehicles such as electric excavators or loaders are susceptible to dust and moisture corrosion of the voltage sampling circuit, increasing the probability of disconnection. The method of this disclosure can effectively identify and address cell voltage sampling disconnection faults by dynamically adjusting diagnostic logic and processing strategies to address different fault causes in these scenarios, ensuring the stable operation of the vehicle's power system.

[0056] In some embodiments, Figure 1 Based on the proposed solution, the time threshold in steps S30 and S40 is set at 24 hours. This time threshold is designed to comprehensively consider the typical cycle of fault occurrence and system operational efficiency requirements under different new energy vehicle scenarios. For daily-use pure electric passenger vehicles, the 24-hour threshold can promptly detect potential wire breakages caused by loose wiring harnesses due to frequent start-stop cycles, while avoiding unnecessary diagnostic processes triggered by oversensitivity. For hybrid commercial vehicles operating under heavy loads, it adapts to the progressive wear characteristics of wiring under high-vibration conditions, ensuring diagnosis and handling are completed before faults affect the stability of the power system. For electric engineering vehicles operating in harsh environments, the 24-hour threshold covers the cumulative risk of wire breakage caused by dust and moisture erosion, effectively balancing the timeliness of fault identification with system resource consumption. Furthermore, this time threshold can be dynamically adjusted according to the actual usage scenario of the vehicle; for example, in extremely harsh operating environments, the threshold can be shortened to 12 hours to improve fault response speed.

[0057] In some embodiments, Figure 1Based on the proposed solution, the limp-out mode in step S30 is configured to limit the discharge current to the smaller of a preset fixed current value and a preset ratio of the power battery capacity. The discharge current limit must comprehensively consider the safe operating boundaries of the power battery, the power requirements of different vehicle models, and range assurance under fault conditions. For example, the discharge current limit is the smaller of 60A and 0.3 times the system capacity. For daily driving of new energy pure electric passenger vehicles, a discharge current of 60A or the smaller of 0.3 times the system capacity can meet the basic emergency driving needs in limp-out mode while avoiding secondary damage to lines already at risk of breakage due to excessive current. For hybrid commercial vehicles subjected to long-term heavy loads, this limit is adapted to their low-power output requirements under fault conditions, effectively controlling the line load while ensuring the vehicle slowly leaves the work area. When electric engineering vehicles are in limp-out mode due to faults, this current limit can cope with the unstable state of the lines in harsh working environments, preventing further aggravation of the risk of breakage. The discharge current limit can also be adjusted adaptively according to the type of power battery. For example, for lithium iron phosphate batteries, the limit can be appropriately optimized in combination with their cycle life characteristics to balance safety and emergency range capability, and can be calibrated.

[0058] Figure 2 A flowchart illustrating a fault degradation processing scheme based on SOC values ​​provided in at least one embodiment of this disclosure. Figure 1 Based on the existing plan, in order to improve the reliability and safety of new energy vehicles, such as... Figure 3 As shown, the fault degradation processing scheme based on SOC value in step S40 further includes the following sub-steps S401-S403.

[0059] Sub-step S401: When the SOC value is less than the preset first threshold, control the new energy vehicle to enter limp mode to limit the discharge current and maintain normal charging function.

[0060] Sub-step S402: When the SOC value is greater than the preset second threshold, control the new energy vehicle to prohibit energy recovery, prohibit charging, and maintain normal discharge function.

[0061] Sub-step S403: When the SOC value is between the first threshold and the second threshold, control the new energy vehicle not to perform fault degradation processing in order to maintain the normal charging and discharging function of the power battery.

[0062] The first threshold is lower than the second threshold. Through the hierarchical processing logic of sub-steps S401-S403, refined control of the vehicle's operating status under a power battery voltage sampling disconnection fault is achieved. This solution formulates differentiated response strategies for different SOC ranges: in the low SOC range (SOC value less than the preset first threshold), priority is given to ensuring the vehicle's basic range and charging recovery possibility, avoiding breakdowns due to low battery. In the high SOC range (SOC value greater than the preset second threshold), charging and energy recovery are restricted to reduce safety risks under fault conditions and prevent overcharging or abnormal energy flow from causing secondary damage to the power battery. In the intermediate SOC range (SOC value between the first and second thresholds), normal charging and discharging are maintained, balancing usage efficiency and system stability. This dynamically adaptable fault degradation mechanism effectively balances the safety, reliability, and availability of new energy vehicles under fault scenarios.

[0063] The above scheme does not address the processing methods when the SOC value equals the first threshold and when the SOC value equals the second threshold. The processing method when the SOC value equals the first threshold can be merged into sub-step 401 or sub-step S403 depending on the different operating scenarios of new energy vehicles. The processing method when the SOC value equals the second threshold can be merged into sub-step 402 or sub-step S403 depending on the different operating scenarios of new energy vehicles.

[0064] In the above scheme, the setting of the first and second thresholds can refer to the voltage plateau characteristics of lithium iron phosphate. The voltage changes rapidly in both the high and low SOC ranges, and the thresholds are set based on this characteristic. For safety reasons, the actual SOC value should be maintained between the first and second thresholds during driving.

[0065] In some embodiments, Figure 2 Based on the proposed solution, the first threshold can be set to 30% SOC0, and the second threshold can be set to 80% SOC0. Here, SOC0 is the state of charge value corresponding to the rated capacity of the power battery. The 30% SOC0 setting is based on the fact that when the power battery SOC is below this threshold, the remaining energy is insufficient to support the vehicle's normal operation for an extended period, and deep discharge may cause irreversible capacity decay in the battery cells, while also reducing the success rate of subsequent charging recovery. The 80% SOC0 setting is based on the fact that the battery management system's monitoring capability of the charging process is limited under a disconnection fault. Continuing to charge or perform energy recovery above this threshold will significantly increase the probability of safety accidents such as battery overcharging or thermal runaway. Therefore, it is necessary to limit related functions to ensure system safety. The first and second thresholds can be calibrated and obtained for precise adjustment according to actual needs or environmental conditions, thereby optimizing performance and ensuring measurement accuracy.

[0066] Figure 3A flowchart illustrating another method for handling a power battery voltage sampling disconnection fault, provided in at least one embodiment of this disclosure. Figure 1 or Figure 2 Based on the existing solution, in order to improve the real-time performance and accuracy of voltage sampling open-circuit fault diagnosis, such as... Figure 3 As shown, the method may further include the following steps S21-S22.

[0067] Step S21: When the power battery has a voltage sampling disconnection fault or the acquisition of at least one cell voltage fails, adjust the voltage fault threshold in the voltage sampling disconnection fault diagnosis strategy used to determine whether the power battery currently has a voltage sampling disconnection fault, so that the range of cell voltage used to characterize the absence of voltage sampling disconnection fault is reduced.

[0068] Step S22: The voltage sampling disconnection fault diagnosis strategy after adjusting the voltage fault threshold is used to obtain the cumulative existence time of voltage sampling disconnection fault in the current control cycle or to determine whether there is a voltage sampling disconnection fault in the power battery in the next control cycle.

[0069] Steps S21-S22 can be, but are not limited to, being placed between steps 20 and S30. Their purpose is to narrow the voltage fault threshold, reducing the voltage range of individual cells without voltage sampling disconnection faults (also known as the usable voltage range), and improving protection sensitivity. Steps S21-S22 dynamically improve the real-time performance and accuracy of voltage sampling disconnection fault diagnosis. When the power battery exhibits signs of voltage sampling disconnection faults, narrowing the voltage range of fault-free individual cells allows the diagnostic strategy to more sensitively identify abnormal voltage fluctuations, effectively reducing the risk of early-stage missed fault detection. Simultaneously, applying the adjusted threshold to the current or next control cycle enables dynamic iteration of the diagnostic strategy, making the statistics of fault accumulation time more closely reflect the actual fault development, providing a more accurate decision-making basis for subsequent fault alarm and power limiting measures, and further ensuring the operational safety and stability of the power battery system.

[0070] The above solution reduces the voltage fault threshold when the power battery has a voltage sampling disconnection fault or cannot identify the voltage of some individual cells. This results in the inability to charge or limited charging in the high SOC range, and the inability to discharge or limited discharging in the low SOC range, while the vehicle can still drive normally and safely.

[0071] In some embodiments, Figure 3Based on the proposed solution, the voltage fault thresholds include battery overvoltage fault thresholds and battery undervoltage fault thresholds. Furthermore, the adjustment scheme in step S21 is configured to: lower the battery overvoltage fault threshold and raise the battery undervoltage fault threshold. The adjustment range can be dynamically adapted based on the current charging / discharging mode, cell temperature, and SOC value of the power battery. This dynamic adjustment method, combined with operating parameters, allows the voltage fault thresholds to better align with the actual operating scenarios of the power battery, further improving the accuracy and real-time performance of open circuit fault diagnosis. It effectively avoids missed or incorrect diagnoses caused by fixed thresholds failing to adapt to complex operating conditions, providing a more reliable basis for the timely triggering of subsequent fault handling measures.

[0072] As an example implementation, when a voltage sampling disconnection fault occurs in the power battery, the battery overvoltage fault threshold is reduced from the original threshold. V 1. The battery undervoltage fault threshold is increased based on the original threshold. V 2. V 1 / V 2 can be calibrated, and V 1 and V The unit of 2 is mV. V 1 and V 2. The aim is to improve the safety of the system by narrowing the original voltage fault judgment range and ensuring that the new fault range is not greater than the original fault range.

[0073] Figure 4 This is a flowchart illustrating another method for handling a power battery voltage sampling disconnection fault, provided in at least one embodiment of this disclosure. Figures 1-3 Based on any one of the solutions, in order to achieve closed-loop management of fault diagnosis, such as Figure 4 As shown, the method may further include the following step S50.

[0074] Step S50: If there is no voltage sampling disconnection fault in the power battery, the processing for the voltage sampling disconnection fault ends, and the power battery continues to be judged for voltage sampling disconnection fault in the next control cycle.

[0075] Step S50 can be set concurrently with step S20. Step S50 enables closed-loop management of fault diagnosis, ensuring continuous dynamic monitoring of the power battery voltage status. If no voltage sampling disconnection fault is detected in the current control cycle, the corresponding process of the power battery voltage sampling disconnection fault handling method for the current cycle is terminated promptly, effectively reducing unnecessary system resource consumption. Simultaneously, by automatically restarting the fault judgment process in the next control cycle, continuous tracking of voltage anomalies is ensured, preventing the omission of subsequent potential voltage disconnection symptoms due to a single instance of fault failure. This further improves the continuity and comprehensiveness of fault diagnosis, providing continuous assurance for the safe and reliable operation of the power battery system.

[0076] Figure 5 This is a flowchart illustrating another method for handling a power battery voltage sampling disconnection fault, provided in at least one embodiment of this disclosure. Figures 1-4 Based on any one of the solutions, in order to implement more precise fault response, such as Figure 5 As shown, step S40 can be further optimized into step S41.

[0077] Step S41: When the cumulative duration of voltage sampling disconnection faults is less than the time threshold, obtain the number of voltage sampling disconnections and the SOC value of the power battery, and perform differentiated fault degradation processing on the charging and discharging conditions of new energy vehicles based on the number of voltage sampling disconnections and the SOC value.

[0078] In this step, S41 replaces step S40. Step S41 implements a multi-parameter-based fault degradation handling scheme. Compared to step S40, step S41 enables a more precise fault response based on the severity of the fault and the current state of the vehicle, avoiding unnecessary performance loss. This differentiated fault degradation handling method balances vehicle operating efficiency and effectively reduces the risk of fault escalation, while also allowing sufficient time for subsequent fault diagnosis and repair. This significantly improves the flexibility and targeting of fault handling, helping the power battery maintain a reasonable operating state under fault conditions and providing strong support for the safe and reliable operation of the vehicle.

[0079] Figure 6 A flowchart illustrating a multi-parameter-based fault degradation processing scheme provided for at least one embodiment of this disclosure. Figure 5 Based on the scheme, in order to refine the classification and processing of the power battery voltage sampling disconnection fault, the fault degradation processing scheme based on multiple parameters in step S41 can further include the following sub-steps S411-S414.

[0080] Sub-step S411: When the number of voltage sampling disconnections is less than a preset threshold, obtain the serial number of the target cell that is currently actually disconnected in the power battery.

[0081] Sub-step S412: Determine whether the serial number of the target single cell belongs to the serial number set of key single cells in the power battery.

[0082] Sub-step S413: When the serial number of the target single cell belongs to the serial number set, perform differentiated fault degradation processing on the charging and discharging conditions of new energy vehicles based on the SOC value.

[0083] Sub-step S414: When the serial number of the target single cell does not belong to the serial number set, control the new energy vehicle not to perform fault degradation processing in order to maintain the normal charging and discharging function of the power battery.

[0084] Sub-steps S411-S414 aim to achieve tiered processing, maintaining the driving and operational capabilities of new energy vehicles to a great extent while ensuring the safety of the power battery. Sub-steps S411-S414 enable refined tiered processing of power battery voltage sampling disconnection faults under different operating conditions. This ensures timely implementation of targeted charge / discharge restriction measures when a critical cell disconnects, avoiding battery system safety risks caused by critical cell anomalies. Simultaneously, it maintains normal charging and discharging functions of the vehicle when non-critical cells disconnect, minimizing the impact on daily user operation. This differentiated processing solution balances battery system safety and user convenience, effectively balancing fault response and vehicle availability, providing a more flexible and reliable guarantee for the stable operation of power batteries in new energy vehicles. Furthermore, by clearly defining the sequence set of critical cell numbers, this solution can quickly locate the scope of fault impact, improve fault handling response efficiency, and further optimize the overall performance of the power battery management system.

[0085] In the above scheme, the fault degradation handling scheme in sub-step S413 can adopt the scheme described in sub-steps S401-S403 above. The quantity threshold in sub-step S411 can be set according to the number of severe voltage sampling disconnection faults defined by the battery management system (BMS).

[0086] In some embodiments, Figure 6 Based on the proposed solution, the quantity threshold in sub-step S411 can be set to 5 cells. This threshold can be calibrated or adjusted according to specific application scenarios. For example, for power battery packs with a large number of cells, the quantity threshold can be appropriately increased to 6-8 cells to ensure system redundancy; while for small power battery packs with a small number of cells, the threshold can be reduced to 3-4 cells to avoid a significant decrease in overall performance due to too many non-critical cell breaks.

[0087] In some embodiments, Figure 6 Based on the solution, in order to further cover the security requirements under severe disconnection scenarios, the fault degradation processing solution based on multiple parameters in step S41 may also include the following sub-step 415.

[0088] Sub-step 415: When the number of voltage sampling disconnections exceeds a preset threshold, control the new energy vehicle to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging.

[0089] Sub-step 415 is set up in parallel with sub-step S411. Sub-step 415 can promptly trigger high-level fault response measures when the number of voltage sampling disconnections exceeds the safety threshold. It maintains the vehicle's limited mobility through limp mode, while prohibiting charging, discharging, and energy recovery operations, effectively avoiding the risks of battery system imbalance, overcurrent, or thermal runaway caused by a large number of cell disconnections. As an important supplement to the graded processing scheme, this sub-step further covers the safety assurance requirements in severe disconnection scenarios, ensuring that in extreme fault situations, neither the safety of the vehicle and personnel is endangered, and that the user can drive the vehicle to a repair shop for maintenance. This forms a closed loop for handling all scenarios from minor to severe faults, improving the robustness and reliability of the power battery management system.

[0090] The above scheme does not restrict the processing scheme when the number of voltage sampling disconnections equals the preset threshold. It can be merged into sub-step 411 or sub-step S415 according to different new energy vehicle operation scenarios.

[0091] In some embodiments, Figure 6 Based on the solution, in order to effectively improve the timeliness and pertinence of fault handling, the method also includes the following steps S01-S04.

[0092] Step S01: Obtain the historical voltage data of each individual cell in the power battery, wherein the historical voltage data includes data up to the current time. n The voltage of a single battery cell at the end of the second charge and the voltage before the current moment n The voltage of a single cell at the end of the second discharge.

[0093] Step S02: Based on historical voltage data, obtain the serial number of the first type of single cell that has had at least one charging end at the highest value among all single cells before the current moment.

[0094] Step S03: Based on historical voltage data, obtain the serial number of the second type of single cell that has had at least one discharge end at the lowest value among all single cells before the current moment.

[0095] Step S04: Generate a set of key cell serial numbers based on the serial numbers of the first type of cell and the second type of cell, so that the set of serial numbers contains the serial numbers of the first type of cell and the second type of cell.

[0096] Steps S01-S04 can be placed before step S10 or sub-step S411, aiming to statistically analyze key individual cells and identify those performing poorly or being more vulnerable in the power battery as critical cells. Steps S01-S04 accurately screen individual cells exhibiting extreme voltage characteristics during charging and discharging, providing core monitoring targets for rapid location and diagnosis of voltage sampling disconnection faults. Because these individual cells often have the highest voltage among all individual cells at the end of charging or the lowest voltage among all individual cells at the end of discharging, they are more prone to disconnection faults due to excessive voltage fluctuations or abnormal connections. Therefore, including them in the critical monitoring scope effectively improves the timeliness of fault warnings and the targeted nature of handling, reducing the performance degradation or safety risks of power batteries caused by disconnection faults. Subsequently, when a voltage disconnection signal is detected, priority can be given to checking the continuity of the voltage acquisition circuit and testing contact resistance for the individual cells in that sequence, thereby shortening the fault handling cycle and improving the reliability and stability of the power battery system.

[0097] In the above scheme, the charging end can be identified by the actual SOC value being in the range of 90% to 100% SOC. The range corresponding to the charging end can be flexibly calibrated and optimized according to specific battery characteristics and actual application requirements. The discharging end can be identified by the SOC value being in the range of 20% to 0% SOC. The range corresponding to the discharging end can also be flexibly calibrated and optimized according to specific battery characteristics and actual application requirements. The calibration of the charging and discharging ends is based on the voltage plateau characteristics of lithium iron phosphate materials, and is implemented by selecting regions where the single-cell voltage changes significantly during charging and discharging.

[0098] In the above scheme, n The multiple iterations are designed to mitigate randomness and enhance the reliability of the results through repeated data analysis. According to the charge-discharge curves of lithium iron phosphate batteries, voltage changes are extremely rapid at the end of the charge and discharge cycle. Furthermore, in practical applications, power batteries are affected by factors such as battery consistency, capacity decay due to aging, balancing effects, temperature distribution, and heat dissipation conditions. Even small differences in capacity or internal resistance can be significantly amplified, leading to substantial voltage deviations. For example, at the end of the charge cycle, smaller capacity cells reach full charge faster, with their voltage rising sharply first; at the end of the discharge cycle, smaller capacity cells drop to their lower voltage limit more quickly.

[0099] Figure 7 A flowchart illustrating an example of a power battery voltage sampling disconnection fault handling method provided in at least one embodiment of this disclosure. Figure 7 As shown, the method includes the following steps: 1) Battery Management System (BMS) statistics for recent nConstruct a sequence set by using the sequence number corresponding to the highest single-cell voltage at the end of the second charge and the sequence number corresponding to the lowest single-cell voltage at the end of the discharge. 2) Determine if there is a voltage sampling disconnection fault in the power battery. If yes, proceed to 3). If no, the process ends and the determination continues in the next cycle. 3) When a voltage sampling disconnection fault exists, the voltage fault threshold is reduced, and it is determined whether the cumulative duration of the voltage sampling disconnection fault is less than the time threshold. H If so, proceed to step 4); otherwise, the Battery Management System (BMS) enters limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging, in order to remind the driver to have the vehicle inspected in time. 4) Determine if the number of voltage sampling disconnections exceeds the threshold. N If yes, the Battery Management System (BMS) enters limp mode, limiting discharge current, disabling energy recovery, and prohibiting charging; otherwise, it enters step 5). 5) Determine whether the serial number of the actual disconnected cell is within the serial number set counted in 1). If it is, proceed to 6). If not, the Battery Management System (BMS) will not perform fault degradation processing. 6) Determine whether the current SOC value of the power battery is within the first threshold. S 1 and second threshold S If the condition is met in section 2, the Battery Management System (BMS) will not perform fault degradation. Otherwise, proceed to section 7). 7) Determine whether the current SOC value of the power battery is greater than the second threshold. S 2. If yes, energy recovery and charging are prohibited, but the discharge function is not restricted, and the vehicle can continue to discharge normally. If no, the vehicle enters limp mode to limit the discharge current, but the charging function is not restricted.

[0100] Figure 8 This is a structural block diagram of a power battery voltage sampling disconnection fault handling system provided in at least one embodiment of the present disclosure. This system can be applied to vehicle-mounted power batteries integrating multiple individual battery cells. Figure 8 As shown, the power battery voltage sampling disconnection fault handling system 100 integrates an identification unit 101, an acquisition unit 102, a first-level control unit 103, and a second-level control unit 104.

[0101] The identification unit 101 is configured to identify whether the power battery has a voltage sampling disconnection fault.

[0102] The acquisition unit 102 is configured to acquire the cumulative duration of the voltage sampling disconnection fault of the power battery when the power battery has a voltage sampling disconnection fault.

[0103] The first-level control unit 103 is configured to control the new energy vehicle using the power battery to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging when the cumulative existence time of the voltage sampling disconnection fault exceeds a preset time threshold.

[0104] The second-level control unit 104 is configured to obtain the current SOC value of the power battery when the cumulative duration of the voltage sampling disconnection fault is less than a time threshold, and to perform differentiated fault degradation processing on the charging and discharging conditions of the new energy vehicle based on the SOC value.

[0105] The specific execution methods of each unit in the above system embodiments have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0106] In some embodiments, Figure 8 Based on the scheme, the acquisition unit 102 can be implemented through a corresponding timing module, and the identification unit 101, the first-level control unit 103 and the second-level control unit 104 can be implemented through a controller with corresponding programs.

[0107] This disclosure also provides a storage medium storing a program or instructions that, when executed by a processor, implement the steps of the method embodiments described above.

[0108] This disclosure also provides a program product, such as... Figure 9 As shown, the program product includes one or more processors 201 and memory 202. Figure 9 Take a processor 201 as an example.

[0109] The controller may also include an input device 203 and an output device 204.

[0110] The processor 201, memory 202, input device 203, and output device 204 can be connected via a bus or other means. Figure 9 Taking the example of a connection between China and Israel via a bus.

[0111] Processor 201 can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips. The general-purpose processor can be a microprocessor or any conventional processor.

[0112] The memory 202, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 201 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory 202, thereby implementing the steps of the above-described method embodiments.

[0113] The memory 202 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the use of the processing device operated by the server. Furthermore, the memory 202 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 202 may optionally include memory remotely located relative to the processor 201, and these remote memories can be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0114] Input device 203 can receive input digital or character information, and generate key signal inputs related to driver settings and function control of the server's processing unit. Output device 204 may include display devices such as a display screen.

[0115] One or more modules are stored in memory 202, and when executed by one or more processors 201, they perform actions such as... Figure 1 The method shown.

[0116] Those skilled in the art will understand that all or part of the processes in the above method embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory (FM), hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0117] Although embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present disclosure, and all such modifications and variations fall within the scope defined by the appended claims.

[0118] Although embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for handling voltage sampling disconnection faults in power batteries, applied to vehicle-mounted power batteries integrating multiple individual cells, characterized in that, include: Identify whether the power battery has a voltage sampling disconnection fault; When the power battery has a voltage sampling disconnection fault, the cumulative duration of the voltage sampling disconnection fault is obtained. When the cumulative duration of the voltage sampling disconnection fault exceeds a preset time threshold, the new energy vehicle using the power battery is controlled to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging. as well as, When the cumulative duration of the voltage sampling disconnection fault is less than the time threshold, the current SOC value of the power battery is obtained, and differentiated fault degradation processing is performed on the charging and discharging conditions of the new energy vehicle based on the SOC value.

2. The method according to claim 1, characterized in that, Also includes: When the power battery has a voltage sampling disconnection fault or the acquisition of at least one cell voltage fails, the voltage fault threshold in the voltage sampling disconnection fault diagnosis strategy used to determine whether the power battery currently has a voltage sampling disconnection fault is adjusted so that the range of cell voltage used to characterize the absence of voltage sampling disconnection fault is reduced. as well as, The voltage sampling disconnection fault diagnosis strategy after adjusting the voltage fault threshold will be used to obtain the cumulative existence time of the voltage sampling disconnection fault in the current control cycle or to determine whether the power battery has a voltage sampling disconnection fault in the next control cycle.

3. The method according to claim 1 or 2, characterized in that, Also includes: When there is no voltage sampling disconnection fault in the power battery, the processing for the voltage sampling disconnection fault ends, and the determination of whether there is a voltage sampling disconnection fault in the power battery continues in the next control cycle.

4. The method according to claim 1 or 2, characterized in that, Also includes: When the cumulative duration of the voltage sampling disconnection fault is less than the time threshold, the number of voltage sampling disconnections of the power battery is obtained, and differentiated fault degradation processing is performed on the charging and discharging conditions of the new energy vehicle based on the number of voltage sampling disconnections and the SOC value.

5. The method according to claim 1 or 2, characterized in that, The differentiated fault degradation processing based on the SOC value for the charging and discharging conditions of the new energy vehicle includes: When the SOC value is less than a preset first threshold, the new energy vehicle is controlled to enter limp mode to limit the discharge current and maintain normal charging function. When the SOC value exceeds a preset second threshold, the new energy vehicle is controlled to prohibit energy recovery, prohibit charging, and maintain normal discharge function; and, When the SOC value is between the first threshold and the second threshold, the new energy vehicle is controlled not to perform fault degradation processing in order to maintain the normal charging and discharging function of the power battery. Wherein, the first threshold is less than the second threshold.

6. The method according to claim 4, characterized in that, The differentiated fault degradation processing for the charging and discharging conditions of the new energy vehicle based on the number of voltage sampling disconnections and the SOC value includes: When the number of voltage sampling disconnections is less than a preset threshold, the serial number of the target cell that is currently actually disconnected in the power battery is obtained. Determine whether the serial number of the target single cell belongs to the serial number set of key single cells in the power battery; When the serial number of the target single battery cell belongs to the set of serial numbers, differentiated fault degradation processing is performed on the charging and discharging conditions of the new energy vehicle based on the SOC value; and, When the serial number of the target single cell does not belong to the serial number set, the new energy vehicle is controlled not to perform fault degradation processing in order to maintain the normal charging and discharging function of the power battery.

7. The method according to claim 6, characterized in that, The differentiated fault degradation processing for the charging and discharging conditions of the new energy vehicle based on the number of voltage sampling disconnections and the SOC value also includes: When the number of voltage sampling disconnections exceeds a preset threshold, the new energy vehicle is controlled to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging.

8. The method according to claim 6 or 7, characterized in that, Also includes: Obtain historical voltage data for each individual cell in the power battery, wherein the historical voltage data includes data prior to the current time. n The voltage of a single battery cell at the end of the second charge and the voltage before the current moment n The voltage of a single cell at the end of the second discharge; Based on the historical voltage data, obtain the serial number of the first type of single cell that has been at the highest voltage among all single cells at the end of at least one charge before the current moment; Based on the historical voltage data, obtain the serial number of the second type of single cell that has had at least one discharge termination value among all single cell voltages before the current moment; and, A set of serial numbers for the key individual cells is generated based on the serial numbers of the first type of individual cells and the second type of individual cells, such that the set of serial numbers includes the serial numbers of the first type of individual cells and the serial numbers of the second type of individual cells.

9. A power battery voltage sampling disconnection fault handling system, applied to an on-board power battery integrating multiple individual cells, characterized in that, include: The identification unit is configured to identify whether the power battery has a voltage sampling disconnection fault; The acquisition unit is configured to acquire the cumulative duration of the voltage sampling disconnection fault of the power battery when the power battery has a voltage sampling disconnection fault. The first-level control unit is configured to control the new energy vehicle using the power battery to enter limp mode to limit the discharge current, prohibit energy recovery, and prohibit charging when the cumulative existence time of the voltage sampling disconnection fault is greater than a preset time threshold. and, The second-level control unit is configured to obtain the current SOC value of the power battery when the cumulative existence time of the voltage sampling disconnection fault is less than the time threshold, and to perform differentiated fault degradation processing on the charging and discharging conditions of the new energy vehicle based on the SOC value.

10. A storage medium, characterized in that, The storage medium stores a program or instructions, wherein the program or instructions, when executed by a processor, implement the steps of the method as described in any one of claims 1 to 8.

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