Battery cell voltage anomaly identification method and system, electronic device, and storage medium

Abstract

The application provides a battery cell voltage abnormality identification method and system, an electronic device and a storage medium. The battery cell voltage abnormality identification method comprises the following steps: collecting the equalization starting voltage, the equalization ending voltage, the capacity and the actual equalization electric quantity of a battery cell; matching the equalization starting voltage with a first voltage threshold and a second voltage threshold respectively, wherein the first voltage threshold is smaller than the second voltage threshold; determining a first charge state and a second charge state according to the equalization starting voltage and the equalization ending voltage when the equalization starting voltage is less than or equal to the first voltage threshold or the equalization starting voltage is greater than or equal to the second voltage threshold; determining a charge state movement amount according to the first charge state and the second charge state; determining a theoretical equalization electric quantity according to the capacity and the charge state movement amount; and judging the abnormality of the equalization starting voltage and / or the equalization ending voltage according to the theoretical equalization electric quantity and the actual equalization electric quantity. The application can accurately identify whether the collected battery cell voltage is abnormal.

Description

Technical Field

[0001] This invention relates to the field of battery balancing technology for energy storage systems, and more specifically, to a method and system for identifying abnormal cell voltage, an electronic device, and a storage medium. Background Technology

[0002] Energy storage system cell voltage acquisition typically uses an AFE (Analog Front End) chip connected to an external wiring harness and connector, with the acquisition point ultimately soldered to the positive and negative aluminum busbars of the individual cell. Due to issues with the manufacturing process, technology, and quality control of the chip, wiring harness, and connector, there is a probability that the acquired cell voltage may be abnormal. However, related technologies cannot directly detect whether the acquired cell voltage is abnormal, which can easily lead to overcharging and over-discharging, resulting in serious safety problems. Summary of the Invention

[0003] The present invention aims to solve the technical problems existing in the prior art or related technologies.

[0004] Therefore, the first aspect of the present invention proposes a method for identifying abnormal cell voltage.

[0005] A second aspect of the present invention provides a battery cell voltage anomaly identification system.

[0006] A third aspect of the present invention provides an electronic device.

[0007] A fourth aspect of the present invention provides a storage medium.

[0008] In view of the above, according to a first aspect of the present invention, a method for identifying abnormal cell voltage is proposed, wherein the method includes: acquiring the cell's balancing start voltage, balancing end voltage, cell capacity, and actual balancing charge; matching the balancing start voltage with a first voltage threshold and a second voltage threshold, wherein the first voltage threshold is less than the second voltage threshold; determining a first charge state and a second charge state based on the balancing start voltage being less than or equal to the first voltage threshold or greater than or equal to the second voltage threshold; determining a charge state shift amount based on the first charge state and the second charge state; determining the theoretical balancing charge amount based on the capacity and the charge state shift amount; and judging the abnormality of the balancing start voltage and / or balancing end voltage based on the theoretical balancing charge amount and the actual balancing charge amount.

[0009] The cell voltage anomaly identification method provided by this invention includes: firstly, collecting the equalization start voltage, equalization end voltage, cell rated capacity, and actual equalization charge during a single equalization process of a single cell through a battery management system. The equalization start voltage refers to the cell voltage collected at the moment of equalization start, the equalization end voltage refers to the cell voltage collected at the moment of equalization stop, the cell capacity is the inherent rated charge parameter of the cell, and the actual equalization charge is the charge transferred between cells during a single equalization. In other words, the equalization start voltage and the equalization end voltage are the cell voltages collected. Subsequently, the balancing initiation voltage is matched with a first voltage threshold and a second voltage threshold, respectively. Only when the balancing initiation voltage is lower than or equal to the first voltage threshold, or higher than or equal to the second voltage threshold, are the first charge state and the second charge state, representing the percentage of charge before and after balancing, determined based on the balancing initiation voltage and the balancing termination voltage, respectively. The first voltage threshold must be lower than the second voltage threshold. It is understandable that, based on the voltage characteristics of lithium iron phosphate (LFP) cells under different SOC (State of Charge), it can be seen that in the high or low SOC region, the voltage exhibits a clear linear relationship with SOC, while in the intermediate region, the voltage exhibits a strong non-linear relationship with SOC. Therefore, it is necessary to select the SOC shift and voltage change within the two extreme regions—that is, when the balancing initiation voltage is lower than or equal to the first voltage threshold, or higher than or equal to the second voltage threshold—as the basis for identification. After obtaining the first and second charge states, the difference between them is calculated to obtain the charge state shift, which reflects the magnitude of the charge change. Then, using the charge state shift and the cell capacity, the theoretical equilibrium charge under ideal conditions is calculated. Finally, the theoretical equilibrium charge is compared with the actual equilibrium charge to determine if the collected voltage (equilibrium starting voltage and / or equilibrium ending voltage, i.e., the cell voltage) is abnormal. This invention relies on the linear correlation between voltage and charge state within the high and low voltage ranges of lithium iron phosphate cells. By using multi-dimensional cross-verification of voltage, charge state, and equilibrium charge, it can accurately identify false voltages caused by voltage acquisition circuit faults, effectively avoiding cell overcharging and over-discharging problems caused by erroneous equilibrium, and improving the operational safety of the energy storage system.

[0010] In some technical solutions, optionally, the step of determining the first charge state and the second charge state based on the equalization start voltage and the equalization end voltage includes: acquiring a preset first data table, wherein the first data table includes the correspondence between voltage and charge state; determining the first charge state based on the equalization start voltage and the first data table; and determining the second charge state based on the equalization end voltage and the first data table.

[0011] In this technical solution, the steps for determining the first and second charge states based on the equalization start voltage and equalization end voltage include: firstly, retrieving a pre-constructed first data table, which is a structured table calibrated based on the inherent electrical characteristics of the battery cell and records a one-to-one correspondence between voltage and charge state. Furthermore, interpolation calculation and temperature compensation functions can be added to the first data table. Interpolation calculation uses two adjacent sets of standard data in the table to calculate the SOC corresponding to the intermediate voltage value through mathematical algorithms, filling the numerical gaps in the discrete table. Temperature compensation involves collecting the real-time temperature of the battery cell or the ambient temperature, correcting the original sampled voltage according to a preset temperature correction rule, and then using the corrected voltage to look up the SOC in the table, offsetting the voltage deviation caused by temperature. By adding interpolation calculation and temperature compensation to the first data table, it becomes adaptable to voltage query requirements under different operating conditions. Subsequently, using the collected equalization start voltage and equalization end voltage as search indexes, the first and second charge states are sequentially retrieved from the first data table. This invention uses a standard data table to convert voltage to charge state. The lookup operation logic is simple, the execution efficiency is high, and the output results are uniform and stable. It can effectively reduce the error caused by manual conversion and ensure the accuracy and reliability of charge state values.

[0012] In some technical solutions, optionally, the step of determining the charge state shift amount based on the first charge state and the second charge state includes: obtaining the cluster average voltage of the battery cluster where the cell is located; determining the third charge state based on the cluster average voltage and the first data table; determining the charge state deviation amount based on the third charge state and the first charge state; and determining the charge state shift amount based on the first charge state and the second charge state when the charge state deviation amount is less than a first preset threshold.

[0013] In this technical solution, the step of determining the charge state shift based on the first and second charge states includes: firstly, obtaining the cluster average voltage of the battery cluster containing the cell. The battery cluster is a basic energy storage unit composed of multiple individual cells connected in series, and the cluster average voltage is the arithmetic mean of the voltages of all individual cells within the cluster. During the calculation of the cluster average voltage, a data filtering function can be added. Data filtering smooths abnormal voltage data with instantaneous jumps and jitters, eliminating short-term interference signals, retaining the true voltage value of the cell, and avoiding deviations in charge state calculation caused by voltage fluctuations. By adding the data filtering function, abnormal data caused by on-site electromagnetic interference and sampling pulse interference can be effectively filtered. After obtaining the cluster average voltage, the third charge state corresponding to the cluster average voltage is queried through a first data table, and then the difference between the two, i.e., the charge state deviation, is calculated. Only when the charge state deviation is less than a preset first threshold value is the calculation step of the charge state shift performed. This invention, by screening the consistency of the cell and the overall state of the battery cluster before calculating the charge state shift, can eliminate the judgment interference caused by poor consistency of the cell itself, and significantly improve the overall accuracy of voltage anomaly identification.

[0014] In some technical solutions, the cell voltage anomaly identification method may optionally include: determining that the equalization start voltage and / or equalization end voltage are abnormal when the charge state deviation is greater than or equal to a first preset threshold.

[0015] In this technical solution, the cell voltage anomaly identification method further includes: real-time monitoring of the relationship between the charge state deviation and a first preset threshold. When the calculated charge state deviation is greater than or equal to the first preset threshold, the balancing start voltage and / or balancing end voltage acquisition is directly determined to be abnormal, i.e., the acquired cell voltage is abnormal. Simultaneously, after an anomaly is determined, data storage and alarm linkage functions can be added synchronously. Data storage automatically retains the original operating data such as the current sampling voltage, charge state, and timestamp for subsequent fault review and tracing. Alarm linkage pushes fault prompts to the upper-level system and field terminals, and locks the corresponding battery cluster's balancing circuit. By adding data storage and alarm linkage functions, fault tracking and proactive safety protection can be achieved. When the charge state deviation exceeds a reasonable range, determining that the current sampling voltage cannot accurately reflect the actual state of the cell, this invention can quickly identify cell consistency anomalies and voltage acquisition faults, promptly terminate abnormal balancing actions, and prevent the battery cluster cell imbalance problem from continuing to worsen.

[0016] In some technical solutions, optionally, the step of matching the balancing start voltage with a first voltage threshold and a second voltage threshold includes: obtaining the single balancing charge of the battery cell; and matching the balancing start voltage with the first voltage threshold and the second voltage threshold when the single balancing charge is less than the single balancing charge threshold.

[0017] In this technical solution, the steps of matching the balancing initiation voltage with a first voltage threshold and a second voltage threshold include: firstly, acquiring the single-cycle balancing charge, which represents the total charge transferred between cells during a single round of balancing. The charge can be statistically analyzed using a high-frequency ampere-hour integration method. This method involves collecting the balancing circuit current at a fixed time frequency and calculating the total charge flow based on the accumulated time. High-frequency sampling reduces single-cycle statistical errors and improves the accuracy of the charge value. By employing the high-frequency ampere-hour integration method, the accuracy and reliability of the single-cycle balancing charge statistical results under complex operating conditions can be ensured. After obtaining the single-cycle balancing charge, it is compared with a preset single-cycle balancing charge threshold. Only when the single-cycle balancing charge is less than the threshold is the subsequent matching process between the balancing initiation voltage and the voltage threshold initiated. This invention, through pre-emptive charge verification, can identify extreme faults such as excessive balancing charge and abnormal balancing circuits in real time, intercepting abnormal processes in advance and preventing damage to the cells caused by abnormal balancing with large charges.

[0018] In some technical solutions, the cell voltage anomaly identification method may optionally include: determining that the balancing start voltage and / or balancing end voltage are abnormal when the single balancing charge is greater than or equal to the single balancing charge threshold.

[0019] In this technical solution, the cell voltage anomaly identification method further includes: when the detected single-balance power is greater than or equal to the single-balance power threshold, directly determining that the balancing start voltage and / or balancing end voltage, i.e., the cell voltage, has an abnormal acquisition. Simultaneously, after an anomaly is determined, a circuit disconnection and multi-level alarm function can be added. Circuit disconnection means disconnecting the balancing power supply circuit of the current battery cluster at the hardware level to prevent continuous abnormal balancing; multi-level alarm distinguishes the fault level and synchronizes fault information to the on-site maintenance equipment and the remote monitoring platform respectively. By adding circuit disconnection and multi-level alarm functions, a multi-layered safety protection system is constructed. A single-balance power exceeding the upper limit is mostly caused by voltage acquisition distortion leading to the system issuing incorrect balancing commands. This invention can quickly determine serious voltage acquisition faults and implement safety protection measures, effectively avoiding safety risks such as overcurrent and short circuits.

[0020] In some technical solutions, optionally, the step of judging the abnormal situation of the balancing start voltage and / or balancing end voltage based on the theoretical balancing power and the actual balancing power includes: calculating the difference between the theoretical balancing power and the actual balancing power; determining that the balancing start voltage and / or balancing end voltage is abnormal when the absolute value of the difference is greater than a second preset threshold; and determining that the balancing start voltage and / or balancing end voltage is normal when the absolute value of the difference is less than or equal to the second preset threshold.

[0021] In this technical solution, the steps for determining abnormalities in the balancing start voltage and / or balancing end voltage based on the theoretical and actual balancing power include: firstly, calculating the difference between the theoretical and actual balancing power; secondly, obtaining the absolute value of the difference and comparing it with a preset second threshold. Simultaneously, a multi-round data comprehensive analysis function can be added. This function involves continuously collecting power difference data from multiple balancing cycles and combining it with historical data for comprehensive judgment, avoiding conclusions based on a single set of data and mitigating misjudgments caused by instantaneous data fluctuations. By adding this multi-round data comprehensive analysis function, the fault tolerance and accuracy of anomaly detection are improved. If the absolute value of the difference is greater than the second preset threshold, the balancing start voltage and / or balancing end voltage (i.e., the cell voltage acquisition) are determined to be abnormal. If the absolute value of the difference is less than or equal to the second preset threshold, both sets of acquired voltages are determined to be normal voltages. Within the range where the voltage and charge state of a lithium iron phosphate battery cell are linearly related, the theoretical equilibrium charge and the actual equilibrium charge should be basically consistent. This invention, through quantitative difference comparison, can accurately distinguish between two scenarios: normal voltage acquisition and voltage acquisition distortion, ensuring that the final anomaly judgment result is true and reliable.

[0022] According to a second aspect of the present invention, a battery cell voltage anomaly identification system is provided, wherein the battery cell voltage anomaly identification system comprises: a data acquisition module for acquiring the battery cell's balancing start voltage, balancing end voltage, battery cell capacity, and actual balancing charge of the battery cell; a matching module for matching the balancing start voltage with a first voltage threshold and a second voltage threshold, wherein the first voltage threshold is less than the second voltage threshold; a first processing module for determining a first charge state and a second charge state based on the balancing start voltage being less than or equal to the first voltage threshold or greater than or equal to the second voltage threshold; a second processing module for determining a charge state shift amount based on the first charge state and the second charge state; a third processing module for determining a theoretical balancing charge based on the capacity and the charge state shift amount; and a fourth processing module for judging abnormalities in the balancing start voltage and / or balancing end voltage based on the theoretical balancing charge and the actual balancing charge.

[0023] The present invention provides a battery cell voltage anomaly identification system, comprising: a data acquisition module, a matching module, a first processing module, a second processing module, a third processing module, and a fourth processing module. The data acquisition module first acquires the balancing start voltage, balancing end voltage, rated capacity, and actual balancing charge of a single battery cell through the battery management system. The balancing start voltage refers to the cell voltage acquired at the moment balancing begins, the balancing end voltage refers to the cell voltage acquired at the moment balancing stops, the cell capacity is the inherent rated capacity parameter of the cell, and the actual balancing charge is the charge transferred between cells during a single balancing cycle. In other words, the balancing start voltage and balancing end voltage are the cell acquisition voltages. The matching module then matches the balancing initiation voltage with a first voltage threshold and a second voltage threshold, respectively. Only when the balancing initiation voltage is lower than or equal to the first voltage threshold, or higher than or equal to the second voltage threshold, does the first processing module determine the first charge state and the second charge state, representing the percentage of charge before and after balancing, based on the balancing initiation voltage and the balancing end voltage, respectively. The first voltage threshold must be lower than the second voltage threshold. This is because, based on the voltage characteristics of lithium iron phosphate (LFP) cells under different SOC (State of Charge), it can be understood that in the high or low SOC region, the voltage exhibits a clear linear relationship with SOC, while in the intermediate region, the voltage exhibits a strong non-linear relationship with SOC. Therefore, it is necessary to select the SOC shift and voltage change within the two extreme regions—that is, when the balancing initiation voltage is lower than or equal to the first voltage threshold or higher than or equal to the second voltage threshold—as the basis for identification. After obtaining the first and second charge states, the second processing module calculates the difference between them to obtain the charge state shift, which reflects the magnitude of the charge change. The third processing module then uses the charge state shift and the cell capacity to calculate the theoretical equilibrium charge under ideal conditions. Finally, the fourth processing module compares the theoretical equilibrium charge with the actual equilibrium charge to determine whether the acquired voltage (equilibrium starting voltage and / or equilibrium ending voltage, i.e., the cell voltage) is abnormal. This invention relies on the linear correlation between voltage and charge state within the high and low voltage ranges of lithium iron phosphate cells. By using multi-dimensional cross-verification of voltage, charge state, and equilibrium charge, it can accurately identify false voltages caused by voltage acquisition circuit faults, effectively avoid cell overcharging and over-discharging problems caused by erroneous equilibrium, and improve the operational safety of the energy storage system.

[0024] According to a third aspect of the present invention, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the cell voltage anomaly identification method as described above.

[0025] The electronic device provided by this invention, when the processor executes the computer program, implements the steps of the above-mentioned cell voltage abnormality identification method, and can achieve the technical effects of any of the above technical solutions, which will not be elaborated here.

[0026] According to a fourth aspect of the present invention, a storage medium is provided on which a computer program is stored, wherein when the computer program is executed by a processor, the steps of the cell voltage anomaly identification method as described above are implemented.

[0027] The storage medium provided by this invention, when the computer program is executed by the processor, implements the steps of the above-mentioned cell voltage abnormality identification method, and can achieve the technical effects of any of the above technical solutions, which will not be elaborated here.

[0028] Additional aspects and advantages of the invention will become apparent in the following description or may be learned by practice of the invention. Attached Figure Description

[0029] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0030] Figure 1 One of the flowcharts of a cell voltage anomaly identification method according to an embodiment of the present invention is shown;

[0031] Figure 2 The diagram illustrates a step in determining a first charge state and a second charge state based on an equalization start voltage and an equalization end voltage in a cell voltage anomaly identification method according to an embodiment of the present invention.

[0032] Figure 3 The diagram illustrates a step in determining the charge state shift based on a first charge state and a second charge state in a cell voltage anomaly identification method according to an embodiment of the present invention.

[0033] Figure 4 The diagram illustrates a step in a cell voltage anomaly identification method according to an embodiment of the present invention, which involves matching the equalization starting voltage with a first voltage threshold and a second voltage threshold.

[0034] Figure 5 The diagram illustrates a step in a cell voltage anomaly identification method according to an embodiment of the present invention to determine anomalies in the balancing start voltage and / or balancing end voltage based on theoretical balancing charge and actual balancing charge.

[0035] Figure 6 A second schematic flowchart of a cell voltage anomaly identification method according to an embodiment of the present invention is shown;

[0036] Figure 7A structural block diagram of a battery cell voltage anomaly identification system according to an embodiment of the present invention is shown. Detailed Implementation

[0037] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments of the present invention and the features thereof can be combined with each other.

[0038] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0039] Figure 1 This diagram illustrates one embodiment of a cell voltage anomaly identification method according to the present invention. The cell voltage anomaly identification method includes:

[0040] Step 102: Collect the cell's balancing start voltage, balancing end voltage, cell capacity, and actual balancing charge of the cell;

[0041] Step 104: Match the equalization starting voltage with the first voltage threshold and the second voltage threshold respectively, wherein the first voltage threshold is less than the second voltage threshold;

[0042] Step 106: When the equilibrium initiation voltage is less than or equal to the first voltage threshold or the equilibrium initiation voltage is greater than or equal to the second voltage threshold, determine the first charge state and the second charge state based on the equilibrium initiation voltage and the equilibrium termination voltage.

[0043] Step 108: Determine the charge state shift amount based on the first charge state and the second charge state;

[0044] Step 110: Determine the theoretical equilibrium charge based on capacity and charge state shift;

[0045] Step 112: Determine any abnormalities in the balancing start voltage and / or balancing end voltage based on the theoretical balancing charge and the actual balancing charge.

[0046] The cell voltage anomaly identification method provided by this invention includes: firstly, collecting the equalization start voltage, equalization end voltage, cell rated capacity, and actual equalization charge during a single equalization process of a single cell through a battery management system. The equalization start voltage refers to the cell voltage collected at the moment of equalization start, the equalization end voltage refers to the cell voltage collected at the moment of equalization stop, the cell capacity is the inherent rated charge parameter of the cell, and the actual equalization charge is the charge transferred between cells during a single equalization. In other words, the equalization start voltage and the equalization end voltage are the cell voltages collected. Subsequently, the balancing initiation voltage is matched with a first voltage threshold and a second voltage threshold, respectively. Only when the balancing initiation voltage is lower than or equal to the first voltage threshold, or higher than or equal to the second voltage threshold, are the first charge state and the second charge state, representing the percentage of charge before and after balancing, determined based on the balancing initiation voltage and the balancing termination voltage, respectively. The first voltage threshold must be lower than the second voltage threshold. It is understandable that, based on the voltage characteristics of lithium iron phosphate (LFP) cells under different SOC (State of Charge), it can be seen that in the high or low SOC region, the voltage exhibits a clear linear relationship with SOC, while in the intermediate region, the voltage exhibits a strong non-linear relationship with SOC. Therefore, it is necessary to select the SOC shift and voltage change within the two extreme regions—that is, when the balancing initiation voltage is lower than or equal to the first voltage threshold, or higher than or equal to the second voltage threshold—as the basis for identification. After obtaining the first and second charge states, the difference between them is calculated to obtain the charge state shift, which reflects the magnitude of the charge change. Then, using the charge state shift and the cell capacity, the theoretical equilibrium charge under ideal conditions is calculated. Finally, the theoretical equilibrium charge is compared with the actual equilibrium charge to determine if the collected voltage (equilibrium starting voltage and / or equilibrium ending voltage, i.e., the cell voltage) is abnormal. This invention relies on the linear correlation between voltage and charge state within the high and low voltage ranges of lithium iron phosphate cells. By using multi-dimensional cross-verification of voltage, charge state, and equilibrium charge, it can accurately identify false voltages caused by voltage acquisition circuit faults, effectively avoiding cell overcharging and over-discharging problems caused by erroneous equilibrium, and improving the operational safety of the energy storage system.

[0047] Figure 2 The diagram illustrates a flowchart of a cell voltage anomaly identification method according to an embodiment of the present invention, showing the steps of determining a first charge state and a second charge state based on an equalization start voltage and an equalization end voltage; wherein, the step of determining the first charge state and the second charge state based on the equalization start voltage and the equalization end voltage includes:

[0048] Step 202: Obtain a preset first data table, wherein the first data table includes the correspondence between voltage and charge state;

[0049] Step 204: Determine the first charge state based on the equalization initiation voltage and the first data table;

[0050] Step 206: Determine the second charge state based on the equalization end voltage and the first data table.

[0051] In this embodiment, the steps of determining the first charge state and the second charge state based on the equalization start voltage and equalization end voltage include: firstly, retrieving a pre-constructed first data table, which is a structured table calibrated based on the inherent electrical characteristics of the battery cell and records a one-to-one correspondence between voltage and charge state. Furthermore, interpolation calculation and temperature compensation functions can be added to the first data table. Interpolation calculation uses two adjacent sets of standard data in the table to calculate the SOC corresponding to the intermediate voltage value through mathematical algorithms, filling the numerical gaps in the discrete table. Temperature compensation involves collecting the real-time temperature of the battery cell or the ambient temperature, correcting the original sampled voltage according to a preset temperature correction rule, and then using the corrected voltage to look up the SOC in the table, offsetting the voltage deviation caused by temperature. By adding interpolation calculation and temperature compensation to the first data table, the first data table can adapt to voltage query requirements under different operating conditions. Subsequently, using the collected equalization start voltage and equalization end voltage as search indexes, the first charge state and the second charge state are sequentially retrieved from the first data table. This invention uses a standard data table to convert voltage to charge state. The lookup operation logic is simple, the execution efficiency is high, and the output results are uniform and stable. It can effectively reduce the error caused by manual conversion and ensure the accuracy and reliability of charge state values.

[0052] Figure 3 The diagram illustrates a flowchart of a cell voltage anomaly identification method according to an embodiment of the present invention, specifically the step of determining the charge state shift based on a first charge state and a second charge state; wherein, the step of determining the charge state shift based on the first charge state and the second charge state includes:

[0053] Step 302: Obtain the average voltage of the battery cluster containing the cell;

[0054] Step 304: Determine the third charge state based on the cluster average voltage and the first data table;

[0055] Step 306: Determine the charge state deviation based on the third charge state and the first charge state;

[0056] Step 308: When the charge state deviation is less than the first preset threshold, determine the charge state shift based on the first charge state and the second charge state.

[0057] In this embodiment, the step of determining the charge state shift based on the first charge state and the second charge state includes: firstly, obtaining the cluster average voltage of the battery cluster containing the cell, wherein the battery cluster is a basic energy storage unit composed of multiple individual cells connected in series, and the cluster average voltage is the arithmetic mean calculated from the voltages of all individual cells within the battery cluster. During the calculation of the cluster average voltage, a data filtering function can be added. Data filtering smooths abnormal voltage data with instantaneous jumps and jitters, eliminates short-term interference signals, retains the true voltage value of the cell, and avoids deviations in charge state calculation caused by voltage fluctuations. By adding the data filtering function, abnormal data caused by on-site electromagnetic interference and sampling pulse interference can be effectively filtered. After obtaining the cluster average voltage, the third charge state corresponding to the cluster average voltage is queried through the first data table, and then the difference between the two, i.e., the charge state deviation, is calculated. Only when the charge state deviation is less than a preset first threshold value is the calculation step of the charge state shift performed. This invention, by screening the consistency of the cell and the overall state of the battery cluster before calculating the charge state shift, can eliminate the judgment interference caused by poor consistency of the cell itself, and significantly improve the overall accuracy of voltage anomaly identification.

[0058] In some embodiments, the cell voltage anomaly identification method may further include: determining that the equalization start voltage and / or equalization end voltage are abnormal when the charge state deviation is greater than or equal to a first preset threshold.

[0059] In this embodiment, the cell voltage anomaly identification method further includes: real-time monitoring of the relationship between the charge state deviation and a first preset threshold. When the calculated charge state deviation is greater than or equal to the first preset threshold, the balancing start voltage and / or balancing end voltage acquisition is directly determined to be abnormal, i.e., the acquired cell voltage is abnormal. Simultaneously, after an anomaly is determined, data storage and alarm linkage functions can be added synchronously. Data storage automatically retains the original operating data such as the current sampling voltage, charge state, and timestamp for subsequent fault review and tracing. Alarm linkage pushes fault prompts to the upper-level system and field terminals, and locks the balancing circuit of the corresponding battery cluster. By adding data storage and alarm linkage functions, fault tracking and proactive safety protection can be achieved. When the charge state deviation exceeds a reasonable range, determining that the current sampling voltage cannot accurately reflect the actual state of the cell, this invention can quickly identify cell consistency anomalies and voltage acquisition faults, promptly terminate abnormal balancing actions, and prevent the cell imbalance problem in the battery cluster from continuing to worsen.

[0060] Figure 4The diagram illustrates a step in a cell voltage anomaly identification method according to an embodiment of the present invention: matching the equalization starting voltage with a first voltage threshold and a second voltage threshold, respectively; wherein, the step of matching the equalization starting voltage with the first voltage threshold and the second voltage threshold includes:

[0061] Step 402: Obtain the single-cycle equalization charge of the battery cell;

[0062] Step 404: When the single-balance power is less than the single-balance power threshold, match the balancing start voltage with the first voltage threshold and the second voltage threshold respectively.

[0063] In this embodiment, the step of matching the balancing initiation voltage with a first voltage threshold and a second voltage threshold includes: firstly, acquiring the single-cycle balancing charge, which represents the total charge transferred between cells during a single round of balancing. The charge can be statistically analyzed using a high-frequency ampere-hour integration method. This method involves collecting the balancing circuit current at a fixed time frequency and calculating the total charge flow based on the accumulated time. High-frequency sampling reduces single-cycle statistical errors and improves the accuracy of the charge value. By employing the high-frequency ampere-hour integration method, the statistical results of the single-cycle balancing charge can be ensured to be accurate and reliable under complex operating conditions. After obtaining the single-cycle balancing charge, it is compared with a preset single-cycle balancing charge threshold. Only when the single-cycle balancing charge is less than the threshold is the subsequent matching process between the balancing initiation voltage and the voltage threshold initiated. This invention, through pre-emptive charge verification, can identify extreme faults such as excessive balancing charge and abnormal balancing circuits in real time, intercepting abnormal processes in advance and preventing damage to the cells caused by abnormal balancing with large charges.

[0064] Optionally, in some embodiments, the cell voltage anomaly identification method further includes: determining that the balancing start voltage and / or balancing end voltage are abnormal when the single balancing charge is greater than or equal to the single balancing charge threshold.

[0065] In this embodiment, the cell voltage anomaly identification method further includes: when the detected single-balance power is greater than or equal to the single-balance power threshold, directly determining that the balancing start voltage and / or balancing end voltage, i.e., the cell voltage, has an abnormal acquisition. Simultaneously, after determining the anomaly, a circuit disconnection and multi-level alarm function can be added. Circuit disconnection means disconnecting the balancing power supply circuit of the current battery cluster at the hardware level to prevent continuous abnormal balancing; multi-level alarm distinguishes the fault level and synchronizes fault information to the on-site maintenance equipment and the remote monitoring platform respectively. By adding circuit disconnection and multi-level alarm functions, a multi-layered safety protection system is constructed. A single-balance power exceeding the upper limit is mostly caused by voltage acquisition distortion leading to the system issuing incorrect balancing commands. This invention can quickly determine serious voltage acquisition faults and implement safety protection measures, effectively avoiding safety risks such as overcurrent and short circuits.

[0066] Figure 5 The diagram illustrates a step in a cell voltage anomaly identification method according to an embodiment of the present invention to determine anomalies in the balancing start voltage and / or balancing end voltage based on theoretical and actual balancing charge. The step of determining anomalies in the balancing start voltage and / or balancing end voltage based on theoretical and actual balancing charge includes:

[0067] Step 502: Calculate the difference between the theoretical equilibrium power and the actual equilibrium power;

[0068] Step 504: When the absolute value of the difference is greater than the second preset threshold, determine that the equalization start voltage and / or equalization end voltage are abnormal;

[0069] Step 506: When the absolute value of the difference is less than or equal to the second preset threshold, determine that the equalization start voltage and / or equalization end voltage are normal.

[0070] In this embodiment, the step of determining abnormalities in the balancing start voltage and / or balancing end voltage based on the theoretical and actual balancing power includes: firstly, calculating the difference between the theoretical and actual balancing power; secondly, obtaining the absolute value of the difference; and thirdly, comparing it with a preset second threshold. Simultaneously, a multi-round data comprehensive analysis function can be added. This function involves continuously collecting power difference data from multiple balancing cycles and combining it with historical data for comprehensive judgment, avoiding conclusions based on a single set of data and mitigating misjudgments caused by instantaneous data fluctuations. By adding this multi-round data comprehensive analysis function, the fault tolerance and accuracy of anomaly detection are improved. If the absolute value of the difference is greater than the second preset threshold, the balancing start voltage and / or balancing end voltage (i.e., the cell voltage acquisition) are determined to be abnormal. If the absolute value of the difference is less than or equal to the second preset threshold, both sets of acquired voltages are determined to be normal voltages. Within the range where the voltage and charge state of a lithium iron phosphate battery cell are linearly related, the theoretical equilibrium charge and the actual equilibrium charge should be basically consistent. This invention, through quantitative difference comparison, can accurately distinguish between two scenarios: normal voltage acquisition and voltage acquisition distortion, ensuring that the final anomaly judgment result is true and reliable.

[0071] Figure 6 A second schematic flowchart of a cell voltage anomaly identification method according to an embodiment of the present invention is shown; wherein, the cell voltage anomaly identification method includes:

[0072] Step 602: Determine whether the single-equalization AH is less than A1. If the result is yes, proceed to step 604. If the result is no, proceed to step 626.

[0073] Step 604: Determine whether the cell balancing start voltage Vs ≤ U1 or Vs ≥ U2. If the result is yes, proceed to step 606; if the result is no, proceed to step 628.

[0074] Step 606: Obtain the cluster average SOCAvg by looking up the table based on the cluster average voltage;

[0075] Step 608: Obtain SOCBs by looking up the table based on the equalization starting voltage;

[0076] Step 610: Obtain SOCBe from the table based on the equalization end voltage;

[0077] Step 612: Obtain the SOC deviation SOCbm1 = SOCBs - SOCAvg based on the average SOC and the initial SOC;

[0078] Step 614: Determine if SOCbm1 < 10%. If the result is yes, proceed to step 616; if the result is no, proceed to step 624.

[0079] Step 616: Based on the initial SOC and the final SOC, obtain the SOC movement amount SOCbm2 = SOCBe - SOCBs;

[0080] Step 618: Calculate the theoretical equilibrium charge Qc based on the cell capacity Cr and SOCbm2;

[0081] Step 620: Calculate the difference dQ between the theoretical equilibrium quantity Qc and the actual equilibrium quantity Qr;

[0082] Step 622: Determine whether |dQ| > the power difference judgment threshold A2. If the result is yes, proceed to step 626; if the result is no, proceed to step 628.

[0083] Step 624: Disable this cluster balancer, reporting a SOC gap too large event;

[0084] Step 626: Disable this cluster balancing and report an abnormal balancing power alarm;

[0085] Step 628: End.

[0086] In this embodiment, the cell voltage anomaly identification method includes: starting the process under static balancing conditions. First, it is determined whether the cumulative charge of a single balancing operation, i.e., the single balancing charge AH, is less than the threshold A1. If the condition is not met, the balancing of this cluster is directly disabled and an anomaly is reported. If the condition is met, it is determined whether the cell balancing start voltage Vs is within the interval [U1, U2], where U1 is the first voltage threshold and U2 is the second voltage threshold. If the condition is not met, the process is directly terminated. If the condition is met, the cluster average charge state SOCAvg, the cell start charge state SOCBs, and the cell end charge state SOCBe are obtained by looking up tables according to the cluster average voltage, the cell start voltage, and the cell end voltage.

[0087] Subsequently, the deviation SOCbm1 between the initial charge state SOCBs of the cell and the average charge state SOCAvg of the cluster is calculated; then it is determined whether SOCbm1 is less than 10%. If it does not meet the requirement, cluster balancing is disabled and an event of excessive SOC difference is reported; if it meets the requirement, the change in cell SOC is calculated as SOCm2 = SOCBe − SOCBs.

[0088] Next, the theoretical balanced charge Qc is calculated based on the cell's rated capacity Cr and SOCm2. Then, the difference dQ between the theoretical balanced charge Qc and the actual balanced charge Qr is calculated. Subsequently, it is determined whether |dQ| is greater than the threshold A2. If the condition is met, the balancing of this cluster is disabled and an anomaly is reported; if the condition is not met, the process ends normally, completing the identification of this abnormal cell.

[0089] Figure 7 A structural block diagram of a battery cell voltage anomaly identification system according to an embodiment of the present invention is shown, wherein the battery cell voltage anomaly identification system 70 includes:

[0090] The data acquisition module 702 is used to acquire the cell's balancing start voltage, balancing end voltage, cell capacity, and actual balancing charge.

[0091] Matching module 704 is used to match the equalization starting voltage with a first voltage threshold and a second voltage threshold, wherein the first voltage threshold is less than the second voltage threshold.

[0092] The first processing module 706 is used to determine the first charge state and the second charge state based on the equalization start voltage and the equalization end voltage when the equalization start voltage is less than or equal to a first voltage threshold or greater than or equal to a second voltage threshold.

[0093] The second processing module 708 is used to determine the charge state shift amount based on the first charge state and the second charge state.

[0094] The third processing module 710 is used to determine the theoretical equilibrium charge based on the capacity and charge state shift.

[0095] The fourth processing module 712 is used to determine abnormal situations of the balancing start voltage and / or balancing end voltage based on the theoretical balancing power and the actual balancing power.

[0096] The present invention provides a battery cell voltage anomaly identification system 70, which includes: a data acquisition module 702, a matching module 704, a first processing module 706, a second processing module 708, a third processing module 710, and a fourth processing module 712. The data acquisition module 702 first acquires the balancing start voltage, balancing end voltage, rated capacity, and actual balancing charge of a single battery cell through the battery management system. The balancing start voltage refers to the cell voltage acquired at the moment balancing begins, the balancing end voltage refers to the cell voltage acquired at the moment balancing stops, the cell capacity is the inherent rated capacity parameter of the cell, and the actual balancing charge is the charge transferred between cells during a single balancing cycle. In other words, the balancing start voltage and balancing end voltage are the cell acquisition voltages. Subsequently, the matching module 704 matches the balancing start voltage with the first voltage threshold and the second voltage threshold, respectively. Only when the balancing start voltage is lower than or equal to the first voltage threshold or higher than or equal to the second voltage threshold, the first processing module 706 determines the first charge state and the second charge state, representing the percentage of charge before and after balancing, based on the balancing start voltage and the balancing end voltage, respectively. The first voltage threshold must be lower than the second voltage threshold. It is understandable that, based on the voltage characteristics of lithium iron phosphate (LFP) cells under different SOC (State of Charge), it can be seen that in the high or low SOC region, the voltage exhibits a clear linear relationship with SOC, while in the intermediate region, the voltage exhibits a strong non-linear relationship with SOC. Therefore, it is necessary to select the SOC shift and voltage change within the two extreme regions, i.e., when the balancing start voltage is lower than or equal to the first voltage threshold or higher than or equal to the second voltage threshold, as the basis for identification. After obtaining the first and second charge states, the second processing module 708 calculates the difference between the first and second charge states to obtain the charge state shift, which reflects the magnitude of the charge change. The third processing module 710 then uses the charge state shift and the cell capacity to calculate the theoretical equilibrium charge under ideal conditions. Finally, the fourth processing module 712 compares the theoretical equilibrium charge with the actual equilibrium charge to determine whether the collected voltage (equilibrium starting voltage and / or equilibrium ending voltage, i.e., the cell voltage) is abnormal. This invention relies on the linear correlation between voltage and charge state within the high and low voltage ranges of lithium iron phosphate cells. By using multi-dimensional cross-verification of voltage, charge state, and equilibrium charge, it can accurately identify false voltages caused by voltage acquisition circuit faults, effectively avoid cell overcharging and over-discharging problems caused by erroneous equilibrium, and improve the operational safety of the energy storage system.

[0097] In some embodiments, optionally, the first processing module 706 is specifically used to obtain a preset first data table, wherein the first data table includes a correspondence between voltage and charge state; determine a first charge state based on the equalization start voltage and the first data table; and determine a second charge state based on the equalization end voltage and the first data table.

[0098] In this embodiment, the first processing module 706 is specifically used to first retrieve a pre-constructed first data table. The first data table is a structured table calibrated based on the inherent electrical characteristics of the battery cell, recording a one-to-one correspondence between voltage and charge state. Furthermore, interpolation calculation and temperature compensation functions can be added to the first data table. Interpolation calculation uses two adjacent sets of standard data in the table to calculate the SOC corresponding to the intermediate voltage value through mathematical algorithms, filling the numerical gaps in the discrete table. Temperature compensation involves collecting the real-time temperature of the battery cell or the ambient temperature, correcting the original sampled voltage according to a preset temperature correction rule, and then using the corrected voltage to look up the SOC in the table, offsetting the voltage deviation caused by temperature. By adding interpolation calculation and temperature compensation to the first data table, the first data table can adapt to voltage query requirements under different operating conditions. Subsequently, using the collected equalization start voltage and equalization end voltage as search indexes, the first charge state and the second charge state are sequentially retrieved from the first data table. This invention uses a standard data table to convert voltage to charge state. The lookup operation logic is simple, the execution efficiency is high, and the output results are uniform and stable. It can effectively reduce the error caused by manual conversion and ensure the accuracy and reliability of charge state values.

[0099] In some embodiments, optionally, the second processing module 708 is specifically used to obtain the average voltage of the battery cluster where the cell is located; determine a third charge state based on the average voltage of the cluster and a first data table; determine a charge state deviation based on the third charge state and the first charge state; and determine a charge state movement based on the first charge state and the second charge state when the charge state deviation is less than a first preset threshold.

[0100] In this embodiment, the second processing module 708 is specifically used to first obtain the average voltage of the battery cluster containing the battery cell. The battery cluster is a basic energy storage unit composed of multiple individual battery cells connected in series, and the average voltage is the arithmetic mean of the voltages of all individual battery cells within the cluster. During the calculation of the average voltage, a data filtering function can be added. Data filtering smooths abnormal voltage data with instantaneous jumps and jitters, eliminates short-term interference signals, retains the true voltage value of the battery cell, and avoids deviations in charge state calculation caused by voltage fluctuations. By adding the data filtering function, abnormal data caused by on-site electromagnetic interference and sampling pulse interference can be effectively filtered. After obtaining the average voltage, the third charge state corresponding to the average voltage is queried through the first data table, and then the difference between the two, i.e., the charge state deviation, is calculated. Only when the charge state deviation is less than a preset first threshold is the calculation step of the charge state movement continued. This invention, by performing consistency screening of the overall state of the battery cell and the battery cluster before calculating the charge state movement, can eliminate judgment interference caused by poor consistency of the battery cell itself, significantly improving the overall accuracy of voltage anomaly identification.

[0101] In some embodiments, the cell voltage anomaly identification system 70 may optionally include: a fifth processing module, used to determine that the equalization start voltage and / or equalization end voltage are abnormal when the charge state deviation is greater than or equal to a first preset threshold.

[0102] In this embodiment, the cell voltage anomaly identification system 70 further includes a fifth processing module. This fifth processing module monitors the relationship between the charge state deviation and a first preset threshold in real time. When the calculated charge state deviation is greater than or equal to the first preset threshold, it directly determines that the equalization start voltage and / or equalization end voltage acquisition is abnormal, i.e., the acquired cell voltage is abnormal. Simultaneously, after determining the anomaly, data storage and alarm linkage functions can be added synchronously. Data storage automatically retains the original operating data such as the current sampling voltage, charge state, and timestamp for subsequent fault review and tracing. Alarm linkage pushes fault prompts to the upper-level system and field terminals, and locks the equalization circuit of the corresponding battery cluster. By adding data storage and alarm linkage functions, fault tracking and proactive safety protection can be achieved. When the charge state deviation exceeds a reasonable range, determining that the current sampling voltage cannot accurately reflect the actual state of the cell, this invention can quickly identify cell consistency anomalies and voltage acquisition faults, promptly terminate abnormal equalization actions, and prevent the battery cluster cell imbalance problem from continuing to worsen.

[0103] In some embodiments, the matching module 704 is optionally used to obtain the single-balance power of the battery cell; and when the single-balance power is less than the single-balance power threshold, the balancing start voltage is matched with the first voltage threshold and the second voltage threshold respectively.

[0104] In this embodiment, the matching module 704 is specifically used to first acquire the single-cycle balancing power, which represents the total power transferred between cells during a single round of balancing. Power statistics can be completed using a high-frequency ampere-hour integration method. This method involves collecting the balancing circuit current at a fixed time frequency and calculating the total transferred power based on the accumulated time. High-frequency sampling can reduce single-cycle statistical errors and improve the accuracy of power values. By employing the high-frequency ampere-hour integration method, the accuracy and reliability of single-cycle balancing power statistics under complex operating conditions can be ensured. After obtaining the single-cycle balancing power, it is compared with a preset single-cycle balancing power threshold. Only when the single-cycle balancing power is less than the threshold does the subsequent matching process between the balancing start voltage and the voltage threshold begin. This invention, through pre-emptive power verification, can identify extreme faults such as excessive balancing power and abnormal balancing circuits in real time, intercepting abnormal processes in advance and preventing damage to the cells caused by abnormal balancing with large power volumes.

[0105] In some embodiments, the cell voltage anomaly identification system 70 may optionally include: a sixth processing module, used to determine that the equalization start voltage and / or equalization end voltage are abnormal when the single equalization charge is greater than or equal to the single equalization charge threshold.

[0106] In this embodiment, the cell voltage anomaly identification system 70 further includes a sixth processing module. When the detected single-balance power is greater than or equal to the single-balance power threshold, the sixth processing module directly determines that the balancing start voltage and / or balancing end voltage, i.e., the cell voltage, has an abnormal acquisition. Simultaneously, after determining the anomaly, circuit disconnection and multi-level alarm functions can be added. Circuit disconnection means disconnecting the balancing power supply circuit of the current battery cluster at the hardware level to prevent continuous abnormal balancing; multi-level alarms differentiate fault levels and synchronize fault information to the on-site maintenance equipment and the remote monitoring platform respectively. By adding circuit disconnection and multi-level alarm functions, a multi-layered safety protection system is constructed. Single-balance power exceeding the upper limit is mostly caused by voltage acquisition distortion leading to the system issuing incorrect balancing commands. This invention can quickly determine serious voltage acquisition faults and implement safety protection measures, effectively avoiding safety risks such as overcurrent and short circuits.

[0107] In some embodiments, optionally, the fourth processing module 712 is specifically used to calculate the difference between the theoretical balanced power and the actual balanced power; when the absolute value of the difference is greater than a second preset threshold, it is determined that the balanced start voltage and / or balanced end voltage are abnormal; when the absolute value of the difference is less than or equal to the second preset threshold, it is determined that the balanced start voltage and / or balanced end voltage are normal.

[0108] In this embodiment, the fourth processing module 712 is specifically used to first calculate the difference between the theoretical balanced charge and the actual balanced charge, then calculate the absolute value of the difference, and compare it with a preset second threshold. Simultaneously, a multi-round data comprehensive analysis function can be added. This function involves continuously collecting charge difference data from multiple balanced cycles and combining it with historical data for comprehensive judgment, avoiding conclusions based on a single set of data and mitigating misjudgments caused by instantaneous data fluctuations. By adding this multi-round data comprehensive analysis function, the fault tolerance and accuracy of anomaly detection are improved. If the absolute value of the difference is greater than the second preset threshold, the balanced start voltage and / or balanced end voltage (i.e., the cell voltage acquisition) are determined to be abnormal. If the absolute value of the difference is less than or equal to the second preset threshold, both sets of acquired voltages are determined to be normal voltages. Within the range where the voltage and charge state of a lithium iron phosphate cell are linearly related, the theoretical balanced charge and the actual balanced charge should be basically consistent. This invention, through quantitative difference comparison, can accurately distinguish between normal voltage acquisition and voltage distortion scenarios, ensuring the final anomaly detection result is accurate and reliable.

[0109] An electronic device according to an embodiment of the present invention includes a memory processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the cell voltage anomaly identification method as described above.

[0110] The electronic device provided by the present invention, when the processor executes the computer program, implements the steps of the above-described battery cell voltage abnormality identification method, and can achieve the technical effects of any of the above embodiments, which will not be repeated here.

[0111] One embodiment of the present invention provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the cell voltage anomaly identification method as described above.

[0112] The storage medium provided by this invention, when the computer program is executed by the processor, implements the steps of the above-described battery cell voltage anomaly identification method, and can achieve the technical effects of any of the above embodiments, which will not be repeated here.

[0113] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance, unless otherwise expressly specified and limited. The terms "connection," "installation," and "fixing," etc., should be interpreted broadly. For example, "connection" can mean a fixed connection, a detachable connection, or an integral connection; it can mean a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0114] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," 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 the present invention. 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.

[0115] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for identifying abnormal cell voltage, characterized in that, include: The equalization start voltage, equalization end voltage, capacity, and actual equalization charge of the battery cell are collected. The equalization starting voltage is matched with a first voltage threshold and a second voltage threshold, respectively, wherein the first voltage threshold is less than the second voltage threshold; When the equilibrium initiation voltage is less than or equal to the first voltage threshold or the equilibrium initiation voltage is greater than or equal to the second voltage threshold, the first charge state and the second charge state are determined according to the equilibrium initiation voltage and the equilibrium termination voltage. The charge state shift amount is determined based on the first charge state and the second charge state; The theoretical equilibrium charge is determined based on the capacity and the charge state shift. Based on the theoretical equalization charge and the actual equalization charge, determine any abnormalities in the equalization start voltage and / or the equalization end voltage.

2. The cell voltage anomaly identification method according to claim 1, characterized in that, The step of determining the first charge state and the second charge state based on the equalization start voltage and the equalization end voltage includes: Obtain a preset first data table, wherein the first data table includes the correspondence between voltage and charge state; The first charge state is determined based on the equalization initiation voltage and the first data table; The second charge state is determined based on the equalization termination voltage and the first data table.

3. The cell voltage anomaly identification method according to claim 2, characterized in that, The step of determining the charge state shift based on the first charge state and the second charge state includes: Obtain the average voltage of the battery cluster to which the cell is located; The third charge state is determined based on the cluster average voltage and the first data table; The charge state deviation is determined based on the third charge state and the first charge state; When the charge state deviation is less than a first preset threshold, the charge state shift is determined based on the first charge state and the second charge state.

4. The cell voltage anomaly identification method according to claim 3, characterized in that, The cell voltage anomaly identification method further includes: When the charge state deviation is greater than or equal to a first preset threshold, it is determined that the equalization start voltage and / or the equalization end voltage are abnormal.

5. The cell voltage anomaly identification method according to claim 1, characterized in that, The step of matching the equalization starting voltage with the first voltage threshold and the second voltage threshold respectively includes: Obtain the single-cycle equalization charge of the battery cell; When the single-balance power is less than the single-balance power threshold, the balancing start voltage is matched with the first voltage threshold and the second voltage threshold, respectively.

6. The cell voltage anomaly identification method according to claim 5, characterized in that, The cell voltage anomaly identification method further includes: When the single-balance power is greater than or equal to the single-balance power threshold, it is determined that the balancing start voltage and / or the balancing end voltage are abnormal.

7. The method for identifying abnormal cell voltage according to any one of claims 1 to 5, characterized in that, The step of determining abnormal conditions of the balancing start voltage and / or the balancing end voltage based on the theoretical balancing power and the actual balancing power includes: Calculate the difference between the theoretical equilibrium power and the actual equilibrium power; When the absolute value of the difference is greater than a second preset threshold, it is determined that the equalization start voltage and / or the equalization end voltage are abnormal. When the absolute value of the difference is less than or equal to the second preset threshold, the equalization start voltage and / or the equalization end voltage are determined to be normal.

8. A battery cell voltage anomaly identification system, characterized in that, include: The data acquisition module is used to acquire the balancing start voltage of the battery cell, the balancing end voltage of the battery cell, the capacity of the battery cell, and the actual balancing charge of the battery cell. A matching module is used to match the equalization starting voltage with a first voltage threshold and a second voltage threshold, wherein the first voltage threshold is less than the second voltage threshold. A first processing module is configured to determine a first charge state and a second charge state based on the equalization start voltage and the equalization end voltage when the equalization start voltage is less than or equal to the first voltage threshold or the equalization start voltage is greater than or equal to the second voltage threshold. The second processing module is used to determine the charge state shift amount based on the first charge state and the second charge state. The third processing module is used to determine the theoretical equilibrium charge based on the capacity and the charge state shift. The fourth processing module is used to determine abnormal conditions of the balancing start voltage and / or the balancing end voltage based on the theoretical balancing power and the actual balancing power.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the cell voltage anomaly identification method as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the cell voltage anomaly identification method as described in any one of claims 1 to 7.

Images