Energy storage battery system state of charge correction method, device, equipment and medium

Abstract

The method, device, equipment, and medium for correcting the state of charge of an energy storage battery system provided by the present application determine the state of charge correction direction of each energy storage battery cluster and the state of charge difference between the maximum and minimum state of charge values ​​based on the operating status and state of charge value of each energy storage battery cluster in the energy storage battery system; determine the state of charge correction time of each energy storage battery cluster based on the state of charge difference; and correct the state of charge of each energy storage battery cluster based on the state of charge correction direction and correction variable of each energy storage battery cluster at the state of charge correction time of each energy storage battery cluster. The correction time and correction variable are determined based on the difference in state of charge, and the correction direction is determined based on the operating status of the energy storage battery cluster. The operating status and state of charge of the battery cluster are taken into consideration during the correction process, which simplifies the correction process and effectively reduces the difference in state of charge of each battery cluster in the energy storage battery system.

Description

Technical Field

[0001] The present application relates to energy storage battery technology, and in particular to a method, device, equipment and medium for correcting the state of charge of an energy storage battery system. Background Art

[0002] The state of charge (SOC) is a key battery parameter. In an energy storage battery system, the battery management system (BMS) of each battery cluster calculates and outputs the SOC in real time. The energy management system uses this BMS data to control and protect the energy storage battery system. Errors and discrepancies in the SOC of an energy storage battery system are inevitable during operation. Risks arise when the EMS uses SOC for control and protection. Therefore, the SOC of the energy storage battery system needs to be corrected.

[0003] Currently, SOC correction methods for energy storage battery systems primarily utilize real-time calculations using data reported by the BMS, such as current, voltage, and temperature, to obtain SOC correction parameters. However, these methods consume high computing power, can cause SOC jumps during monitoring, and cannot effectively address the significant SOC differences between battery clusters in energy storage battery systems.

[0004] A method for correcting the state of charge of an energy storage battery system is needed to effectively reduce the SOC difference of the energy storage battery system. Summary of the Invention

[0005] The present application provides a method, device, equipment and medium for correcting the state of charge of an energy storage battery system.

[0006] In a first aspect, the present application provides a method for correcting the state of charge of an energy storage battery system, comprising:

[0007] Determining a state of charge correction direction of each energy storage battery cluster according to an operating state of each energy storage battery cluster in the energy storage battery system; wherein the operating state includes a charging state, a discharging state, and a static state;

[0008] Calculating, based on the state of charge values ​​of the energy storage battery clusters, a state of charge difference between a maximum state of charge and a minimum state of charge of each energy storage battery cluster of the energy storage battery system; and determining, based on the state of charge difference, a state of charge correction time for each energy storage battery cluster;

[0009] At the state of charge correction moment of each energy storage battery cluster, the state of charge of each energy storage battery cluster is corrected based on the state of charge correction direction and correction variable of each energy storage battery cluster; wherein the correction variable is determined based on the state of charge value and a smoothing function.

[0010] Optionally, determining the correction direction of the battery state of charge according to the working status of each energy storage battery cluster in the energy storage battery system includes:

[0011] Detecting the maximum cell voltage, minimum cell voltage, and state of charge of each energy storage battery cluster through a battery management system;

[0012] Determining a maximum state of charge and a minimum state of charge according to the state of charge of each energy storage battery cluster;

[0013] The correction direction of the battery state of charge is determined according to the highest single cell voltage and the lowest single cell voltage, and the working status of each energy storage battery cluster in the energy storage battery system; wherein the correction direction includes correction toward the maximum state of charge and correction toward the minimum state of charge.

[0014] Optionally, determining the correction direction of the battery state of charge according to the operating status of each energy storage battery cluster in the energy storage battery system further includes:

[0015] If the operating state of the energy storage battery cluster satisfies a first correction condition, determining that the battery state of charge is corrected toward the maximum state of charge; wherein the first correction condition includes any one of the following: the energy storage battery cluster is in a charging state; or the energy storage battery cluster is in a static state, and the highest cell voltage is not less than a first preset voltage, and the lowest cell voltage is not less than a second preset voltage, and the cumulative time in the static state is not less than a first preset time;

[0016] If the operating state of the energy storage battery cluster satisfies a second correction condition, it is determined that the direction of correction of the battery state of charge is toward the minimum state of charge; wherein the second correction condition includes any one of the following: the energy storage battery cluster is in a discharging state; or the energy storage battery cluster is in a stationary state, and the highest cell voltage is not higher than a third preset voltage, and the lowest cell voltage is not higher than a fourth preset voltage, and the cumulative time in the stationary state is not less than a second preset time.

[0017] Optionally, determining the state of charge correction time of each energy storage battery cluster according to the state of charge difference includes:

[0018] Calculating a duration during which the state of charge difference of the energy storage battery system reaches a first preset difference;

[0019] When the duration reaches a third preset duration, the current moment is determined as the state of charge correction moment of the energy storage battery system.

[0020] Optionally, the method further includes:

[0021] If the state of charge of the energy storage battery cluster is corrected toward the maximum state of charge, a correction variable of the energy storage battery cluster is calculated according to a first formula; wherein the first formula is: SOC(n1)=SOC(n0)*k1+SOC_max*(1-k1);

[0022] If the state of charge of the energy storage battery cluster is corrected toward the minimum state of charge, a correction variable of the energy storage battery cluster is calculated according to a second formula; wherein the second formula is: SOC(n1)=SOC(n0)*k2+SOC_min*(1-k2);

[0023] Among them, SOC(n1) is the correction variable; k1 and k2 are the set smoothing control parameters; SOC(n0) is the state of charge value before correction; SOC_min is the minimum state of charge value; SOC_max is the maximum state of charge value.

[0024] Optionally, calculating the state of charge difference between a maximum state of charge and a minimum state of charge of the energy storage battery system according to the state of charge values ​​of the energy storage battery clusters includes:

[0025] Monitoring the system status of the energy storage battery system;

[0026] If the system state is normal, the state of charge difference between the maximum and minimum state of charge values ​​of the energy storage battery system is calculated according to the state of charge values ​​of the energy storage battery clusters.

[0027] Optionally, monitoring the system status of the energy storage battery system includes:

[0028] Obtaining current battery parameters, where the battery parameters include at least one of the following: operating current, operating voltage, operating temperature, state of charge, and battery health;

[0029] The battery parameters are compared with the rated ranges. If all parameters are within the corresponding rated ranges, it is determined that the system status of the energy storage battery system is normal.

[0030] In a second aspect, the present application provides a device for correcting the state of charge of an energy storage battery system, comprising:

[0031] A direction determination module, configured to determine a state of charge correction direction of each energy storage battery cluster according to an operating state of each energy storage battery cluster in the energy storage battery system; wherein the operating state includes a charging state, a discharging state, and a static state;

[0032] a time determination module, configured to calculate, based on the state of charge values ​​of the energy storage battery clusters, a state of charge difference between a maximum state of charge and a minimum state of charge of each energy storage battery cluster of the energy storage battery system; and determine, based on the state of charge difference, a state of charge correction time for each energy storage battery cluster;

[0033] a correction module configured to correct the state of charge of each energy storage battery cluster at the state of charge correction moment of each energy storage battery cluster based on the state of charge correction direction and correction variable of each energy storage battery cluster; wherein the correction variable is determined based on the state of charge value and a smoothing function.

[0034] Optionally, the direction determination module is specifically configured to:

[0035] Detecting the maximum cell voltage, minimum cell voltage, and state of charge of each energy storage battery cluster through a battery management system;

[0036] Determining a maximum state of charge and a minimum state of charge according to the state of charge of each energy storage battery cluster;

[0037] The correction direction of the battery state of charge is determined according to the highest single cell voltage and the lowest single cell voltage, and the working status of each energy storage battery cluster in the energy storage battery system; wherein the correction direction includes correction toward the maximum state of charge and correction toward the minimum state of charge.

[0038] Optionally, the direction determination module is further configured to:

[0039] If the operating state of the energy storage battery cluster satisfies a first correction condition, determining that the battery state of charge is corrected toward the maximum state of charge; wherein the first correction condition includes any one of the following: the energy storage battery cluster is in a charging state; or the energy storage battery cluster is in a static state, and the highest cell voltage is not less than a first preset voltage, and the lowest cell voltage is not less than a second preset voltage, and the cumulative time in the static state is not less than a first preset time;

[0040] If the operating state of the energy storage battery cluster satisfies a second correction condition, it is determined that the direction of correction of the battery state of charge is toward the minimum state of charge; wherein the second correction condition includes any one of the following: the energy storage battery cluster is in a discharging state; or the energy storage battery cluster is in a stationary state, and the highest cell voltage is not higher than a third preset voltage, and the lowest cell voltage is not higher than a fourth preset voltage, and the cumulative time in the stationary state is not less than a second preset time.

[0041] Optionally, the time determination module is configured to:

[0042] Calculating a duration during which the state of charge difference of the energy storage battery system reaches a first preset difference;

[0043] When the duration reaches a third preset duration, the current moment is determined as the state of charge correction moment of the energy storage battery system.

[0044] Optionally, the device further includes a correction variable calculation module, configured to:

[0045] If the state of charge of the energy storage battery cluster is corrected toward the maximum state of charge, a correction variable of the energy storage battery cluster is calculated according to a first formula; wherein the first formula is: SOC(n1)=SOC(n0)*k1+SOC_max*(1-k1);

[0046] If the state of charge of the energy storage battery cluster is corrected toward the minimum state of charge, a correction variable of the energy storage battery cluster is calculated according to a second formula; wherein the second formula is: SOC(n1)=SOC(n0)*k2+SOC_min*(1-k2);

[0047] Among them, SOC(n1) is the correction variable; k1 and k2 are the set smoothing control parameters; SOC(n0) is the state of charge value before correction; SOC_min is the minimum state of charge value; SOC_max is the maximum state of charge value.

[0048] Optionally, the time determination module is further configured to:

[0049] Monitoring the system status of the energy storage battery system;

[0050] If the system state is normal, the state of charge difference between the maximum and minimum state of charge values ​​of the energy storage battery system is calculated according to the state of charge values ​​of the energy storage battery clusters.

[0051] Optionally, the time determination module is further configured to:

[0052] Obtaining current battery parameters, where the battery parameters include at least one of the following: operating current, operating voltage, operating temperature, state of charge, and battery health;

[0053] The battery parameters are compared with the rated ranges. If all parameters are within the corresponding rated ranges, it is determined that the system status of the energy storage battery system is normal.

[0054] In a third aspect, the present application provides an electronic device, comprising:

[0055] at least one processor; and

[0056] a memory communicatively connected to the at least one processor; wherein,

[0057] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method according to the first aspect.

[0058] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in the first aspect.

[0059] The method, device, equipment, and medium for correcting the state of charge of an energy storage battery system provided by the present application determine the state of charge correction direction of each energy storage battery cluster and the state of charge difference between the maximum and minimum state of charge values ​​based on the operating status and state of charge value of each energy storage battery cluster in the energy storage battery system; determine the state of charge correction time of each energy storage battery cluster based on the state of charge difference; and correct the state of charge of each energy storage battery cluster based on the state of charge correction direction and correction variable of each energy storage battery cluster at the state of charge correction time of each energy storage battery cluster. The correction time and correction variable are determined based on the difference in state of charge, and the correction direction is determined based on the operating status of the energy storage battery cluster. The operating status and state of charge of the battery cluster are taken into consideration during the correction process, which simplifies the correction process and effectively reduces the difference in state of charge of each battery cluster in the energy storage battery system. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0061] Figure 1 A schematic flow chart of a method for correcting the state of charge of an energy storage battery system provided in Example 1 of the present application;

[0062] Figure 2 A flow chart of a method for correcting the state of charge of an energy storage battery system provided in Example 2 of the present application;

[0063] Figure 3 A flow chart of another method for correcting the state of charge of an energy storage battery system provided in the second embodiment of the present application;

[0064] Figure 4 A flow chart of a method for correcting the state of charge of an energy storage battery system provided in Example 3 of the present application;

[0065] Figure 5 A flow chart of a method for correcting the state of charge of an energy storage battery system provided in the fourth embodiment of the present application;

[0066] Figure 6 A flowchart of a method for correcting the state of charge of an energy storage battery system provided in Example 5 of the present application;

[0067] Figure 7 A flowchart of another method for correcting the state of charge of an energy storage battery system provided in Example 5 of the present application;

[0068] Figure 8 A schematic diagram of a specific application of a method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0069] Figure 9 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0070] Figure 10 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0071] Figure 11 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0072] Figure 12 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0073] Figure 13 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0074] Figure 14 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0075] Figure 15 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0076] Figure 16 A schematic diagram of a specific application of a method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application;

[0077] Figure 17 A schematic structural diagram of a device for correcting the state of charge of an energy storage battery system according to a seventh embodiment of the present application;

[0078] Figure 18 This is a structural diagram of another electronic device provided in Example 8 of the present application.

[0079] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0080] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0081] With the continuous development of new energy technologies, energy storage battery systems are playing an increasingly important role across various industries. However, these systems also present a number of control and protection challenges. Energy storage batteries typically consist of a series of battery clusters. During the operation of an energy storage battery system, errors in the battery SOC (System On Capacity) are inevitable. Furthermore, due to the inconsistency of the properties of battery clusters, variations in the SOC of the energy storage battery system can occur, impacting its proper operation. Correcting the SOC of the energy storage battery system is necessary to optimize control and protection strategies and maximize the economic benefits of the energy storage battery system.

[0082] Currently, SOC correction methods for energy storage battery systems primarily utilize real-time calculations based on data reported by the BMS, such as current, voltage, and temperature, to obtain SOC correction parameters. However, these methods consume significant computing power within the energy management system, can cause SOC jumps during monitoring, and, more importantly, cannot address the significant SOC variations among battery clusters in energy storage battery systems.

[0083] Therefore, a method for correcting the state of charge (SOC) of an energy storage battery system is needed to simplify the algorithm and reduce the SOC variation, thereby optimizing the control and protection strategy of the energy storage battery system. When correcting the SOC of an energy storage battery system, the operating status and SOC state of each energy storage battery cluster can be considered. Combined with the operating parameters of some battery clusters, the SOC correction variable of the energy storage battery system can be calculated to correct SOC errors and variations.

[0084] The technical solutions of the present application and the technical solutions of the present application are described in detail below with reference to specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in certain embodiments. In the description of the present application, unless otherwise clearly specified and limited, each term should be understood in a broad sense within the art. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0085] Example 1

[0086] Figure 1 A flow chart of a method for correcting the state of charge of an energy storage battery system provided in Example 1 of the present application is shown as follows: Figure 1 As shown, the method includes:

[0087] S101, determining a state of charge correction direction of each energy storage battery cluster according to an operating state of each energy storage battery cluster in an energy storage battery system;

[0088] S102, calculating the state of charge difference between the maximum and minimum state of charge values ​​of each energy storage battery cluster of the energy storage battery system according to the state of charge values ​​of each energy storage battery cluster;

[0089] S103, determining a state of charge correction time for each energy storage battery cluster according to the state of charge difference;

[0090] S104 : At the state of charge correction moment of each energy storage battery cluster, correct the state of charge of each energy storage battery cluster based on the state of charge correction direction and correction variable of each energy storage battery cluster.

[0091] This embodiment is illustrated with reference to specific application scenarios: Correcting the state of charge requires determining the correction direction, correction time, and correction variables. Once the correction time is reached, correction is performed according to the corresponding correction rules. First, the state of charge correction direction for each energy storage battery cluster is determined based on the operating state of each energy storage battery cluster in the energy storage battery system. The operating state includes the charging state, the discharging state, and the static state. Based on the state of each energy storage battery cluster in the energy storage battery system, it can be determined, according to certain rules, whether the state of charge of the corresponding battery cluster should be corrected upward or downward. Subsequently, based on the state of charge values ​​of the energy storage battery clusters, the state of charge difference between the maximum and minimum state of charge values ​​of the energy storage battery clusters of the energy storage battery system is calculated; and based on the state of charge difference, the state of charge correction time of each energy storage battery cluster is determined; finally, at the state of charge correction time of each energy storage battery cluster, the state of charge of each energy storage battery cluster is corrected based on the state of charge correction direction and correction variable of each energy storage battery cluster; wherein the correction variable is determined based on the state of charge value and a smoothing function to ensure that while reducing the state of charge difference of the energy storage battery system, the state of charge jump is avoided as much as possible.

[0092] This embodiment provides a method for correcting the state of charge (SOC) of an energy storage battery system, comprising: determining a SOC correction direction for each energy storage battery cluster based on the operating status of each energy storage battery cluster in the energy storage battery system; calculating the SOC difference between the maximum and minimum SOC values ​​of each energy storage battery cluster in the energy storage battery system based on the SOC values ​​of each energy storage battery cluster; determining a SOC correction time for each energy storage battery cluster based on the SOC difference; and correcting the SOC of each energy storage battery cluster based on the SOC correction direction and correction variable of each energy storage battery cluster at the SOC correction time. By determining the correction time and correction variable based on the SOC difference and determining the correction direction based on the operating status of the energy storage battery cluster, and considering the operating status and SOC of the battery cluster during the correction process, the correction process is simplified and the SOC difference between the battery clusters in the energy storage battery system is reduced.

[0093] Example 2

[0094] Figure 2 This is a flow chart of a method for correcting the state of charge of an energy storage battery system provided in Example 2 of the present application, as shown in FIG. Figure 2 As shown, based on any embodiment, S101 may specifically include:

[0095] S201, detecting the maximum cell voltage, the minimum cell voltage, and the state of charge of each energy storage battery cluster through a battery management system;

[0096] S202, determining a maximum state of charge and a minimum state of charge according to the state of charge of each energy storage battery cluster;

[0097] S203 : Determine a correction direction of the battery state of charge according to the highest cell voltage and the lowest cell voltage, and the working status of each energy storage battery cluster in the energy storage battery system.

[0098] This embodiment is exemplified in conjunction with a specific application scenario: This embodiment details the determination of the battery state of charge correction direction. First, it is necessary to obtain the highest cell voltage, lowest cell voltage, state of charge and other parameters corresponding to each energy storage battery cluster in the battery in real time through the battery management system. In the subsequent correction direction determination work, it is necessary to make a judgment based on the above parameters. After obtaining the state of charge of each battery cluster, it can be used to determine the maximum state of charge and the minimum state of charge of each energy storage battery cluster in the energy storage battery system. Then, the maximum state of charge and the minimum state of charge can be used as the standard as the correction direction. Afterwards, the correction direction of the battery state of charge is determined based on the highest cell voltage and the lowest cell voltage, and the working status of each energy storage battery cluster in the energy storage battery system; wherein, the correction direction includes correction towards the maximum state of charge and correction towards the minimum state of charge.

[0099] An example, Figure 3 This is a flow chart of another method for correcting the state of charge of an energy storage battery system provided in the second embodiment of the present application, which is used to illustrate the specific implementation methods of executing two different correction directions. Figure 3 As shown, S203 may include:

[0100] S211: If the operating state of the energy storage battery cluster satisfies a first correction condition, determining that the battery state of charge is corrected toward a maximum state of charge;

[0101] S212: If the operating state of the energy storage battery cluster satisfies the second correction condition, determine that the correction direction of the battery state of charge is to correct the battery state of charge toward the minimum state of charge.

[0102] Determining the direction of correcting the battery state of charge according to the operating status of each energy storage battery cluster in the energy storage battery system specifically includes:

[0103] If the operating state of the energy storage battery cluster satisfies a first correction condition, determining that the battery state of charge is corrected toward the maximum state of charge; wherein the first correction condition includes any one of the following: the energy storage battery cluster is in a charging state; or the energy storage battery cluster is in a static state, and the highest cell voltage is not less than a first preset voltage, and the lowest cell voltage is not less than a second preset voltage, and the cumulative time in the static state is not less than a first preset time;

[0104] If the operating state of the energy storage battery cluster satisfies a second correction condition, it is determined that the direction of correction of the battery state of charge is toward the minimum state of charge; wherein the second correction condition includes any one of the following: the energy storage battery cluster is in a discharging state; or the energy storage battery cluster is in a stationary state, and the highest cell voltage is not higher than a third preset voltage, and the lowest cell voltage is not higher than a fourth preset voltage, and the cumulative time in the stationary state is not less than a second preset time.

[0105] By determining the direction of state of charge correction based on the operating status of the energy storage battery cluster and the highest and lowest cell voltages, the error in state of charge correction can be reduced.

[0106] This embodiment provides a method for correcting the state of charge of an energy storage battery system. The method uses a battery management system to detect the maximum cell voltage, minimum cell voltage, and state of charge of each energy storage battery cluster. Based on the state of charge of each energy storage battery cluster, the method determines the maximum and minimum state of charge values. Based on the maximum and minimum cell voltages and the operating status of each energy storage battery cluster in the energy storage battery system, the method determines the direction of correction for the battery state of charge. The correction direction includes correction toward the maximum state of charge and correction toward the minimum state of charge. The correction direction can be determined based on the various data collected by the battery management system for each battery cluster, thereby reducing errors in state of charge correction and minimizing differences in the state of charge of each battery cluster in the energy storage battery system.

[0107] Example 3

[0108] Figure 4 A flow chart of a method for correcting the state of charge of an energy storage battery system provided in the third embodiment of the present application is provided to illustrate a method for determining the correction time. Figure 4 As shown, based on any embodiment, S103 may specifically include:

[0109] S301, calculating the duration of time during which the state of charge difference of the energy storage battery system reaches a first preset difference;

[0110] S302: When the duration reaches a third preset duration, determine the current time as a state of charge correction time of the energy storage battery system.

[0111] The correction time can be determined based on the SOC variance of the energy storage battery system, specifically, the difference between the maximum and minimum SOC values ​​of each energy storage battery cluster. When the SOC variance exceeds a first preset difference threshold, the SOC variance can be defined as excessive. When the SOC variance of the energy storage battery system persists for a third preset duration, this moment is determined as the SOC correction time, and real-time SOC correction begins at that moment.

[0112] This embodiment provides a method for correcting the state of charge (SOC) of an energy storage battery system. The method calculates the duration of a SOC difference in the energy storage battery system reaching a first preset difference. When the duration reaches a third preset duration, the method determines the current moment as the SOC correction time for the energy storage battery system. By monitoring the energy storage battery system for excessive SOC differences and using the duration of this condition as the SOC correction time, the correction process is simplified and the SOC differences between battery clusters in the energy storage battery system are reduced.

[0113] Example 4

[0114] Figure 5A flow chart of a method for correcting the state of charge of an energy storage battery system provided in the fourth embodiment of the present application is provided to illustrate the calculation method of the correction variable, such as Figure 5 As shown, based on any embodiment, the method further includes:

[0115] S401: If the state of charge of the energy storage battery cluster is corrected toward the maximum state of charge, calculate a correction variable of the energy storage battery cluster according to a first formula;

[0116] S402: If the state of charge of the energy storage battery cluster is corrected in a direction toward a minimum state of charge, a correction variable of the energy storage battery cluster is obtained by calculation according to a second formula.

[0117] This embodiment is illustrated with reference to specific application scenarios: the correction direction of the energy storage battery cluster can be divided into correction towards the maximum state of charge or correction towards the minimum state of charge. The maximum state of charge and the minimum state of charge both refer to the maximum state of charge and the minimum state of charge of the energy storage battery system to which the energy storage battery cluster belongs.

[0118] If the state of charge of the energy storage battery cluster is corrected toward the maximum state of charge, a correction variable of the energy storage battery cluster is calculated according to a first formula; wherein the first formula is: SOC(n1)=SOC(n0)*k1+SOC_max*(1-k1);

[0119] If the state of charge of the energy storage battery cluster is corrected toward the minimum state of charge, a correction variable of the energy storage battery cluster is calculated according to a second formula; wherein the second formula is: SOC(n1)=SOC(n0)*k2+SOC_min*(1-k2);

[0120] Among them, SOC(n1) is the correction variable; k1 and k2 are the set smoothing control parameters; SOC(n0) is the state of charge value before correction; SOC_min is the minimum state of charge value; SOC_max is the maximum state of charge value.

[0121] This embodiment provides a method for correcting the state of charge (SOC) of an energy storage battery system. If the SOC of a battery cluster is being corrected toward its maximum SOC, a correction variable for the cluster is calculated using a first formula. If the SOC of a battery cluster is being corrected toward its minimum SOC, a correction variable for the cluster is calculated using a second formula. Determining the correction variable based on the SOC value and a smoothing function simplifies the correction process, reduces SOC variations among battery clusters in the energy storage battery system, and avoids sudden SOC changes.

[0122] Example 5

[0123] Figure 6 A flow chart of a method for correcting the state of charge of an energy storage battery system provided in Example 5 of the present application is shown as follows: Figure 6 As shown, based on any embodiment, S102 specifically includes:

[0124] S501, monitoring the system status of the energy storage battery system;

[0125] S502: If the system state is normal, calculate the state of charge difference between the maximum and minimum state of charge values ​​of the energy storage battery system according to the state of charge values ​​of the energy storage battery clusters.

[0126] This embodiment is illustrated with reference to a specific application scenario: The difference between the maximum and minimum state of charge of the energy storage battery system is calculated based on the state of charge values ​​of each energy storage battery cluster. This can be performed by first monitoring the system status of the energy storage battery system. When the system is in a normal state, the difference between the maximum and minimum state of charge of the energy storage battery system is calculated based on the state of charge values ​​of each energy storage battery cluster.

[0127] An example, Figure 7 This is a flow chart of another method for correcting the state of charge of an energy storage battery system provided in the fifth embodiment of the present application, which is used to illustrate a method for determining whether the energy storage battery system is in a normal state. Figure 7 As shown, S501 may include:

[0128] S511. Acquire current battery parameters, where the battery parameters include at least one of the following: operating current, operating voltage, operating temperature, state of charge, and battery health;

[0129] S512: Compare the battery parameters with the rated range. If all parameters are within the corresponding rated range, determine that the system status of the energy storage battery system is normal.

[0130] The battery management system can obtain various battery parameters of the current energy storage battery system to determine the current battery status. These battery parameters may include at least one of the following: operating current, operating voltage, operating temperature, state of charge, and battery health. When all these battery parameters fall within their rated ranges, the energy storage battery system is considered normal, reducing errors during the state of charge correction process.

[0131] This embodiment provides a method for correcting the state of charge (SOC) of an energy storage battery system. The method monitors the system status of the energy storage battery system. If the system status is normal, the method calculates the SOC difference between the maximum and minimum SOC values ​​of the energy storage battery system based on the SOC values ​​of each energy storage battery cluster. By monitoring the system status and then calculating the SOC difference when the system status is normal, and performing subsequent corrections, the algorithm can be simplified and errors in SOC correction can be reduced.

[0132] Example 6

[0133] Example 6 of the present application combines the aforementioned various implementation methods to illustrate the application and operation of the method with specific examples. The following is the meaning of the contents in the various figures in this example.

[0134] Figure 8 A schematic diagram of a specific application of a method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application, used to illustrate the monitoring of the operating status of the energy storage battery system;

[0135] Figure 9 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application is used to illustrate various battery cluster parameters collected by the energy storage battery cluster BMS in the energy storage battery system, including current, maximum cell voltage, and minimum cell voltage;

[0136] Figure 10 This is a schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application, which is used to illustrate the SOC reported by the BMS of each energy storage battery cluster in the energy storage battery system;

[0137] Figure 11 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application, used to illustrate the difference in the SOC of the energy storage battery system;

[0138] Figure 12 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application, used to illustrate the SOC correction direction of the energy storage battery system;

[0139] Figure 13 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application is used to illustrate the state of the energy storage battery system;

[0140] Figure 14 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application, used to illustrate the SOC correction timing of the energy storage battery system;

[0141] Figure 15 A schematic diagram of a specific application of another method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application, used to illustrate the SOC correction variables of the energy storage battery system;

[0142] Figure 16 A schematic diagram of a specific application of a method for correcting the state of charge of an energy storage battery system provided in Example 6 of the present application, used to illustrate the SOC difference of the energy storage battery system after correction;

[0143] This embodiment is illustrated by combining a specific application scenario: a certain energy storage battery system is composed of 18 lithium iron phosphate energy storage battery clusters connected in parallel. Figure 8 As shown, each energy storage battery cluster BMS reports the corresponding operating status; where a value of 1 is considered to be in a charging state, a value of -1 is considered to be in a discharging state, and a value of 0 is considered to be in a static state. The BMS also monitors and reports in real time such as Figure 9 The highest and lowest cell voltages shown and Figure 10 The SOC shown in Figure 2 is the SOC of each energy storage battery cluster. Figure 11 As shown, the real-time difference in SOC reported by the BMS of each energy storage battery cluster in the energy storage battery system can be obtained.

[0144] In this embodiment, the various data used in the process of determining the correction direction can be: the t_rest critical time in the static state is 10 minutes, the V_max critical value is 3.34V, and the V_min critical value is 3.27V. Figure 12 As shown, a "correction possible to SOC_max" value of 1 is considered to be correction possible to the maximum state of charge; a "correction possible to SOC_min" value of 1 is considered to be correction possible to the minimum state of charge.

[0145] Figure 13 It is the state of the energy storage battery system during the real-time correction of the SOC of the energy storage battery system. A value of 1 indicates that the energy storage battery system is in a normal state, and a value of 0 indicates that the energy storage battery system is in an abnormal state.

[0146] The dSOC of the energy storage battery system can be calculated in real time based on the SOC of each energy storage battery cluster. When the dSOC reaches the critical value of 5%, it is defined as the SOC difference of the energy storage battery system is too large. When the state of excessive SOC difference lasts for more than 2 seconds, it is recorded as the time to reach SOC correction, such as Figure 14 As shown, a value of 1 in the “SOC correction timing” is regarded as reaching the SOC correction time.

[0147] When the SOC of the energy storage battery system is corrected in real time, the SOC smoothing control parameters k1 = 0.5, k2 = 0.5. The corrected SOC is as follows Figure 15After the energy storage battery system SOC is corrected in real time, the energy storage battery system SOC difference is as follows: Figure 16 As shown in the figure, it can be seen that the SOC difference in the process can be controlled at most about 5%. Figure 11 , significantly reducing the difference in charge state of each battery cluster in the energy storage battery system.

[0148] This embodiment provides a method for correcting the state of charge (SOC) of an energy storage battery system, comprising: determining a SOC correction direction for each energy storage battery cluster based on the operating status of each energy storage battery cluster in the energy storage battery system; calculating the SOC difference between the maximum and minimum SOC values ​​of each energy storage battery cluster in the energy storage battery system based on the SOC values ​​of each energy storage battery cluster; determining a SOC correction time for each energy storage battery cluster based on the SOC difference; and correcting the SOC of each energy storage battery cluster based on the SOC correction direction and correction variable of each energy storage battery cluster at the SOC correction time. By determining the correction time and correction variable based on the SOC difference and determining the correction direction based on the operating status of the energy storage battery cluster, and considering the operating status and SOC of the battery cluster during the correction process, the correction process is simplified and the SOC difference between the battery clusters in the energy storage battery system is reduced.

[0149] Example 7

[0150] The seventh embodiment of the present application also provides a device for correcting the state of charge of an energy storage battery system to implement the above method. Figure 17 As shown, Figure 17 This is a schematic diagram of the structure of the energy storage battery system state of charge correction device provided in Example 7 of the present application, the device comprising:

[0151] A direction determination module 71 is configured to determine a state of charge correction direction of each energy storage battery cluster according to an operating state of each energy storage battery cluster in the energy storage battery system; wherein the operating state includes a charging state, a discharging state, and a static state;

[0152] a time determination module 72 for calculating, based on the state of charge values ​​of the energy storage battery clusters, a state of charge difference between a maximum state of charge and a minimum state of charge of each energy storage battery cluster in the energy storage battery system; and determining, based on the state of charge difference, a state of charge correction time for each energy storage battery cluster;

[0153] The correction module 73 is configured to correct the state of charge of each energy storage battery cluster at the state of charge correction moment of each energy storage battery cluster based on the state of charge correction direction and correction variable of each energy storage battery cluster; wherein the correction variable is determined based on the state of charge value and a smoothing function.

[0154] It should be noted that Figure 17The embodiment of the present invention shows a combination of implementations. In a specific application, at least the direction determination module 71 , the time determination module 72 and the correction module 73 should be retained.

[0155] In one example, the direction determination module 71 is specifically configured to:

[0156] Detecting the maximum cell voltage, minimum cell voltage, and state of charge of each energy storage battery cluster through a battery management system;

[0157] Determining a maximum state of charge and a minimum state of charge according to the state of charge of each energy storage battery cluster;

[0158] The correction direction of the battery state of charge is determined according to the highest single cell voltage and the lowest single cell voltage, and the working status of each energy storage battery cluster in the energy storage battery system; wherein the correction direction includes correction toward the maximum state of charge and correction toward the minimum state of charge.

[0159] Based on the various data of the battery cluster collected by the battery management system, the correction direction can be determined, thereby reducing the error of charge state correction and reducing the difference in charge state of each battery cluster in the energy storage battery system.

[0160] In one example, the direction determination module 71 is further configured to:

[0161] If the operating state of the energy storage battery cluster satisfies a first correction condition, determining that the battery state of charge is corrected toward the maximum state of charge; wherein the first correction condition includes any one of the following: the energy storage battery cluster is in a charging state; or the energy storage battery cluster is in a static state, and the highest cell voltage is not less than a first preset voltage, and the lowest cell voltage is not less than a second preset voltage, and the cumulative time in the static state is not less than a first preset time;

[0162] If the operating state of the energy storage battery cluster satisfies a second correction condition, it is determined that the direction of correction of the battery state of charge is toward the minimum state of charge; wherein the second correction condition includes any one of the following: the energy storage battery cluster is in a discharging state; or the energy storage battery cluster is in a stationary state, and the highest cell voltage is not higher than a third preset voltage, and the lowest cell voltage is not higher than a fourth preset voltage, and the cumulative time in the stationary state is not less than a second preset time.

[0163] By determining the direction of state of charge correction based on the operating status of the energy storage battery cluster and the highest and lowest cell voltages, the error in state of charge correction can be reduced.

[0164] In one example, the time determination module 72 is configured to:

[0165] Calculating a duration during which the state of charge difference of the energy storage battery system reaches a first preset difference;

[0166] When the duration reaches a third preset duration, the current moment is determined as the state of charge correction moment of the energy storage battery system.

[0167] By monitoring the state of charge of the energy storage battery system with excessive differences, when this state persists for a certain period of time, it is used as the state of charge correction time, which simplifies the correction process and reduces the difference in the state of charge of each battery cluster in the energy storage battery system.

[0168] In one example, the apparatus further includes a correction variable calculation module 74, configured to:

[0169] If the state of charge of the energy storage battery cluster is corrected toward the maximum state of charge, a correction variable of the energy storage battery cluster is calculated according to a first formula; wherein the first formula is: SOC(n1)=SOC(n0)*k1+SOC_max*(1-k1);

[0170] If the state of charge of the energy storage battery cluster is corrected toward the minimum state of charge, a correction variable of the energy storage battery cluster is calculated according to a second formula; wherein the second formula is: SOC(n1)=SOC(n0)*k2+SOC_min*(1-k2);

[0171] Among them, SOC(n1) is the correction variable; k1 and k2 are the set smoothing control parameters; SOC(n0) is the state of charge value before correction; SOC_min is the minimum state of charge value; SOC_max is the maximum state of charge value.

[0172] The correction variable is determined based on the state of charge value and the smoothing function, which simplifies the correction process, reduces the difference in the state of charge of each battery cluster in the energy storage battery system, and avoids the jump of the state of charge.

[0173] In one example, the time determination module 72 is further configured to:

[0174] Monitoring the system status of the energy storage battery system;

[0175] If the system state is normal, the state of charge difference between the maximum and minimum state of charge values ​​of the energy storage battery system is calculated according to the state of charge values ​​of the energy storage battery clusters.

[0176] By monitoring the system status and calculating the SOC difference when the system status is normal, and performing subsequent correction processes, the algorithm can be simplified and the error in SOC correction can be reduced.

[0177] In one example, the time determination module 72 is further configured to:

[0178] Obtaining current battery parameters, where the battery parameters include at least one of the following: operating current, operating voltage, operating temperature, state of charge, and battery health;

[0179] The battery parameters are compared with the rated ranges. If all parameters are within the corresponding rated ranges, it is determined that the system status of the energy storage battery system is normal.

[0180] The battery management system can obtain the various battery parameters of the current energy storage battery system to determine the current state of the battery. When the battery parameters all fall within the corresponding rated range, the current state is determined to be the normal system state of the energy storage battery system, which can reduce the error in the state of charge correction process.

[0181] This embodiment provides a state-of-charge correction device for an energy storage battery system, comprising: a direction determination module for determining a state-of-charge correction direction for each energy storage battery cluster in the energy storage battery system based on the operating state of each energy storage battery cluster in the energy storage battery system, wherein the operating state includes a charging state, a discharging state, and a stationary state; a time determination module for calculating a state-of-charge difference between a maximum state-of-charge value and a minimum state-of-charge value of the energy storage battery system based on the state-of-charge values ​​of each energy storage battery cluster; and determining a state-of-charge correction time for each energy storage battery cluster based on the state-of-charge difference; and a correction module for correcting the state of charge of each energy storage battery cluster at the state-of-charge correction time based on the state-of-charge correction direction and a correction variable of each energy storage battery cluster; wherein the correction variable is determined based on the state-of-charge value and a smoothing function. The correction time and correction variable are determined by the difference in charge state, and the correction direction is determined according to the operating state of the energy storage battery cluster. The operating state and charge state of the battery cluster are taken into consideration during the correction process, which simplifies the correction process and reduces the difference in charge state of each battery cluster in the energy storage battery system.

[0182] Example 8

[0183] Figure 18 This is a structural diagram of an electronic device provided in Example 8 of the present application, such as Figure 18 As shown, the electronic device includes:

[0184] The electronic device includes a processor 291 and a memory 292; a communication interface 293, and a bus 294. The processor 291, memory 292, and communication interface 293 can communicate with each other via bus 294. Communication interface 293 can be used for information transmission. The processor 291 can invoke logic instructions in memory 292 to execute the methods of the above-described embodiments.

[0185] In addition, the logic instructions in the memory 292 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0186] Memory 292, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present application. Processor 291 executes the software programs, instructions, and modules stored in memory 292 to perform functional applications and data processing, thereby implementing the methods in the above-mentioned method embodiments.

[0187] Memory 292 may include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the terminal device. Memory 292 may also include high-speed random access memory and non-volatile memory.

[0188] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in any embodiment.

[0189] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered merely as exemplary, and the true scope and spirit of the present application are indicated by the claims.

[0190] It should be understood that the present application is not limited to the exact structure described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for correcting the state of charge of an energy storage battery system, characterized in that: include: Determining a state of charge correction direction of each energy storage battery cluster according to an operating state of each energy storage battery cluster in the energy storage battery system; wherein the operating state includes a charging state, a discharging state, and a static state; Calculating, based on the state of charge values ​​of the energy storage battery clusters, a state of charge difference between a maximum state of charge and a minimum state of charge of each energy storage battery cluster in the energy storage battery system; and calculating a duration during which the state of charge difference of the energy storage battery system reaches a first preset difference; and determining, when the duration reaches a third preset duration, a current moment as a state of charge correction moment of the energy storage battery system; At the state of charge correction moment of each energy storage battery cluster, the state of charge of each energy storage battery cluster is corrected based on the state of charge correction direction and correction variable of each energy storage battery cluster; wherein the correction variable is determined based on the state of charge value and a smoothing function; The determining of the correction direction of the battery state of charge according to the operating status of each energy storage battery cluster in the energy storage battery system includes: Detecting the maximum cell voltage, minimum cell voltage, and state of charge of each energy storage battery cluster through a battery management system; Determining a maximum state of charge and a minimum state of charge according to the state of charge of each energy storage battery cluster; Determining a correction direction of the battery state of charge according to the highest cell voltage and the lowest cell voltage, and the operating status of each energy storage battery cluster in the energy storage battery system; wherein the correction direction includes correction toward a maximum state of charge and correction toward a minimum state of charge; The method of determining the correction direction of the battery state of charge according to the operating status of each energy storage battery cluster in the energy storage battery system further includes: If the operating state of the energy storage battery cluster satisfies a first correction condition, determining that the battery state of charge is corrected toward the maximum state of charge; wherein the first correction condition includes any one of the following: the energy storage battery cluster is in a charging state; or the energy storage battery cluster is in a static state, and the highest cell voltage is not less than a first preset voltage, and the lowest cell voltage is not less than a second preset voltage, and the cumulative time in the static state is not less than a first preset time; If the operating state of the energy storage battery cluster satisfies a second correction condition, determining that the battery state of charge is corrected toward the minimum state of charge; wherein the second correction condition includes any one of the following: the energy storage battery cluster is in a discharging state; or the energy storage battery cluster is in a static state, and the highest cell voltage is not higher than a third preset voltage, and the lowest cell voltage is not higher than a fourth preset voltage, and the cumulative time in the static state is not less than a second preset time; The method further comprises: If the state of charge of the energy storage battery cluster is corrected toward the maximum state of charge, a correction variable of the energy storage battery cluster is calculated according to a first formula; wherein the first formula is: SOC(n1)=SOC(n0)*k1+SOC_max*(1-k1); If the state of charge of the energy storage battery cluster is corrected toward the minimum state of charge, a correction variable of the energy storage battery cluster is calculated according to a second formula; wherein the second formula is: SOC(n1)=SOC(n0)*k2+SOC_min*(1-k2); Among them, SOC(n1) is the correction variable; k1 and k2 are the set smoothing control parameters; SOC(n0) is the state of charge value before correction; SOC_min is the minimum state of charge value; SOC_max is the maximum state of charge value.

2. The method according to claim 1, characterized in that Calculating the state of charge difference between the maximum and minimum state of charge values ​​of the energy storage battery system according to the state of charge values ​​of the energy storage battery clusters includes: Monitoring the system status of the energy storage battery system; If the system state is normal, the state of charge difference between the maximum and minimum state of charge values ​​of the energy storage battery system is calculated according to the state of charge values ​​of the energy storage battery clusters.

3. The method according to claim 2, characterized in that The monitoring of the system status of the energy storage battery system includes: Obtaining current battery parameters, where the battery parameters include at least one of the following: operating current, operating voltage, operating temperature, state of charge, and battery health; The battery parameters are compared with the rated ranges. If all parameters are within the corresponding rated ranges, it is determined that the system status of the energy storage battery system is normal.

4. A charge state correction device for an energy storage battery system, characterized in that: include: A direction determination module, configured to determine a state of charge correction direction of each energy storage battery cluster according to an operating state of each energy storage battery cluster in the energy storage battery system; wherein the operating state includes a charging state, a discharging state, and a static state; a time determination module, configured to calculate, based on the state of charge values ​​of the energy storage battery clusters, a state of charge difference between a maximum state of charge and a minimum state of charge of each energy storage battery cluster in the energy storage battery system; and determine, based on the state of charge difference, a state of charge correction time for each energy storage battery cluster; a correction module, configured to correct the state of charge of each energy storage battery cluster at the state of charge correction moment of each energy storage battery cluster based on the state of charge correction direction and correction variable of each energy storage battery cluster; wherein the correction variable is determined based on the state of charge value and a smoothing function; The direction determination module is specifically used to: Detecting the maximum cell voltage, minimum cell voltage, and state of charge of each energy storage battery cluster through a battery management system; Determining a maximum state of charge and a minimum state of charge according to the state of charge of each energy storage battery cluster; Determining a correction direction of the battery state of charge according to the highest cell voltage and the lowest cell voltage, and the operating status of each energy storage battery cluster in the energy storage battery system; wherein the correction direction includes correction toward a maximum state of charge and correction toward a minimum state of charge; The direction determination module is further configured to: If the operating state of the energy storage battery cluster satisfies a first correction condition, determining that the battery state of charge is corrected toward the maximum state of charge; wherein the first correction condition includes any one of the following: the energy storage battery cluster is in a charging state; or the energy storage battery cluster is in a static state, and the highest cell voltage is not less than a first preset voltage, and the lowest cell voltage is not less than a second preset voltage, and the cumulative time in the static state is not less than a first preset time; If the operating state of the energy storage battery cluster satisfies a second correction condition, determining that the battery state of charge is corrected toward the minimum state of charge; wherein the second correction condition includes any one of the following: the energy storage battery cluster is in a discharging state; or the energy storage battery cluster is in a static state, and the highest cell voltage is not higher than a third preset voltage, and the lowest cell voltage is not higher than a fourth preset voltage, and the cumulative time in the static state is not less than a second preset time; The time determination module is used to: Calculating a duration during which the state of charge difference of the energy storage battery system reaches a first preset difference; When the duration reaches a third preset duration, determining the current time as a state of charge correction time of the energy storage battery system; The device further comprises a correction variable calculation module, which is used to: If the state of charge of the energy storage battery cluster is corrected toward the maximum state of charge, a correction variable of the energy storage battery cluster is calculated according to a first formula; wherein the first formula is: SOC(n1)=SOC(n0)*k1+SOC_max*(1-k1); If the state of charge of the energy storage battery cluster is corrected toward the minimum state of charge, a correction variable of the energy storage battery cluster is calculated according to a second formula; wherein the second formula is: SOC(n1)=SOC(n0)*k2+SOC_min*(1-k2); Among them, SOC(n1) is the correction variable; k1 and k2 are the set smoothing control parameters; SOC(n0) is the state of charge value before correction; SOC_min is the minimum state of charge value; SOC_max is the maximum state of charge value.

5. The device according to claim 4, characterized in that The time determination module is further used to: Monitoring the system status of the energy storage battery system; If the system state is normal, the state of charge difference between the maximum and minimum state of charge values ​​of the energy storage battery system is calculated according to the state of charge values ​​of the energy storage battery clusters.

6. The device according to claim 4, characterized in that The time determination module is further used to: Obtaining current battery parameters, where the battery parameters include at least one of the following: operating current, operating voltage, operating temperature, state of charge, and battery health; The battery parameters are compared with the rated ranges. If all parameters are within the corresponding rated ranges, it is determined that the system status of the energy storage battery system is normal.

7. An electronic device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 3.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 3 when executed by a processor.

9. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

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