Energy storage system safety monitoring method, device, equipment and storage medium

Abstract

This invention discloses a method, apparatus, device, and computer-readable storage medium for safety monitoring of energy storage systems. The method includes: acquiring monitoring parameter information obtained by monitoring each cell to be monitored during the operation of the energy storage system; comparing the monitoring parameter information of each cell in the same group according to a preset grouping rule to obtain a parameter comparison result; and determining the safety monitoring result of the cell to be monitored based on the parameter comparison result obtained by comparing the cells in at least one group. This invention reduces the occurrence of false detections when monitoring the cells in energy storage systems, and improves the accuracy of safety monitoring of energy storage systems.

Description

Technical Field

[0001] This invention relates to the field of energy storage system technology, and more particularly to a method, apparatus, device, and computer-readable storage medium for energy storage system safety monitoring. Background Technology

[0002] With the rapid advancement of energy storage systems, their safety has become a core concern. During operation, battery cells may experience fires due to internal short circuits or other issues. Therefore, it is crucial to monitor the safety status of the cells during system operation to detect problems early and implement preventative measures. Currently, safety monitoring of energy storage systems involves individually sampling the temperature of each cell and issuing an alarm when a single cell's temperature exceeds a certain level. This method fails to consider the interrelationships between individual cells, potentially leading to misjudgments. Summary of the Invention

[0003] The main objective of this invention is to provide a method, apparatus, device, and computer-readable storage medium for safety monitoring of energy storage systems. The aim is to propose a safety monitoring scheme for energy storage systems that considers the interrelationships between individual cells in the energy storage system, thereby improving the accuracy of safety monitoring.

[0004] To achieve the above objectives, the present invention provides a method for safety monitoring of an energy storage system, the method comprising the following steps:

[0005] Acquire monitoring parameter information obtained by monitoring each cell under test during the operation of the energy storage system;

[0006] For each of the cells to be monitored that are grouped into the same group according to a preset grouping rule, the monitoring parameter information of each cell in the same group is compared to obtain the parameter comparison result.

[0007] The safety monitoring result of the battery cell to be monitored is determined based on the parameter comparison results obtained by comparing the battery cell to be monitored in at least one group.

[0008] Optionally, the monitoring parameter information includes at least one monitoring parameter value of the cell to be monitored. The step of comparing the monitoring parameter information of each cell in any target group to obtain the parameter comparison result includes:

[0009] For the comparison parameter value corresponding to the target group in each of the monitoring parameter values, calculate the center value of the comparison parameter value of the same item in each cell in the target group, and determine the normal parameter range corresponding to each of the comparison parameter values ​​based on the center value;

[0010] For any target cell in the target group, any one of the target parameter values ​​to be compared of the target cell is compared with the corresponding normal parameter range to obtain the range comparison result corresponding to the target parameter value. The range comparison result includes a result indicating whether the target parameter value exceeds the corresponding normal parameter range, and / or a result indicating the degree to which the target parameter value exceeds the corresponding normal parameter range.

[0011] Based on the range comparison results corresponding to the various comparison parameter values ​​of the target battery cell, the grouping anomaly level of the target battery cell is determined, and the grouping anomaly level is used as the parameter comparison result obtained by comparing the target battery cell in the target group.

[0012] Optionally, when the comparison parameters of the target battery cell include electrical parameter values ​​and temperature parameter values, the step of determining the grouping anomaly level of the target battery cell based on the range comparison results corresponding to the comparison parameters of the target battery cell includes:

[0013] Based on the comparison results of the ranges corresponding to the electrical parameter values ​​of the target battery cell, the electrical anomaly level of the target battery cell is determined;

[0014] If the electrical anomaly level is greater than the first preset level, then the grouping anomaly level of the target battery cell is determined according to the electrical anomaly level and the temperature anomaly level of the target battery cell, wherein the temperature anomaly level is determined according to the range comparison result corresponding to the temperature parameter value of the target battery cell;

[0015] If the electrical anomaly level is less than or equal to the first preset level, then the grouping anomaly level of the target cell is determined according to the electrical anomaly level of the target cell.

[0016] Optionally, before the step of comparing the monitoring parameter information of each cell in the same group to obtain the parameter comparison result, the method further includes:

[0017] Divide the cells in the same cell string within the monitored cells into the same group; and / or,

[0018] Cells under the same operating conditions at the same time or during the same period are grouped into the same group. The same operating conditions are those where one or more operating parameters, such as fan speed, charging / discharging status, power level, and current level, are the same.

[0019] Optionally, the monitoring parameter information includes at least one time parameter value obtained by monitoring the cell under test at the time of safety analysis, and at least one parameter change rate obtained by monitoring at least one historical period before the time of safety analysis;

[0020] The step of comparing the monitoring parameter information of each cell in the same group according to a preset grouping rule to obtain a parameter comparison result includes:

[0021] The time parameter values ​​of each first cell in the first group are compared to obtain the first parameter comparison result, wherein the first group is a group composed of cells under the same operating conditions at the time of the safety analysis.

[0022] The time parameter values ​​of each cell in the second group are compared to obtain the second parameter comparison result. The second group is a group composed of each cell to be monitored in the cell string where the first abnormal cell is located. The first abnormal cell is a cell whose group abnormality level represented by the first parameter comparison result is greater than the second preset level.

[0023] The parameter change rate of each cell in the third group is compared within the historical period corresponding to the third group to obtain the third parameter comparison result. The third group is a group composed of cells that are under the same operating conditions as the second abnormal cell in the same historical period. The second abnormal cell is a cell in the first abnormal cell whose group abnormality level represented by the second parameter comparison result is greater than the third preset level.

[0024] The parameter change rate of each cell in the fourth group is compared within the same historical period to obtain the fourth parameter comparison result. The fourth group is a group composed of each cell to be monitored in the cell string where the third abnormal cell is located. The third abnormal cell is a cell whose group abnormality level represented by the third parameter comparison result is greater than the fourth preset level among the second abnormal cells.

[0025] The parameter change rates of the cells in the fifth group are compared in each historical period to obtain the fifth parameter comparison result, wherein each fifth group includes one of the first abnormal cells.

[0026] Optionally, the step of obtaining monitoring parameter information obtained by monitoring each cell to be monitored during the operation of the energy storage system includes:

[0027] The original parameter values ​​at each moment are obtained by monitoring each cell to be monitored at a preset monitoring frequency during the operation of the energy storage system.

[0028] Cluster the original time parameter values ​​of the same item of each of the monitored cells at the same time to obtain the time cluster center value corresponding to each original time parameter value. Subtract the corresponding time cluster center value from each original time parameter value to obtain the time normalization parameter value.

[0029] The parameter change rate is calculated based on the time-normalized parameter value of the battery cell under monitoring at each time point within a time period;

[0030] Based on the time-normalized parameter value of the cell under test at the time of safety analysis and the rate of change of the parameter in each historical period before the time of safety analysis, the monitoring parameter information of the cell under test at the time of safety analysis is obtained.

[0031] Optionally, the time-normalized parameter value includes at least a time-normalized electrical value, which includes at least a time-normalized voltage value and a time-normalized current value.

[0032] The step of calculating the parameter change rate based on the parameter values ​​at various times within a time period of the battery cell to be monitored includes:

[0033] The time-normalized power value of the battery cell under monitoring is calculated based on the time-normalized voltage value and the time-normalized current value of the battery cell under monitoring at the same time.

[0034] The voltage change rate of the monitored battery cell during the corresponding time period is calculated based on the normalized voltage value of the monitored battery cell at each time point within a time period.

[0035] The power change rate of the monitored battery cell in the corresponding time period is calculated based on the normalized power value of the monitored battery cell at each time point within a time period.

[0036] The charging and discharging power difference within an hour is calculated based on the time-normalized power value of the battery cell under monitoring at each moment within an hour. The rate of change of the charging and discharging power difference of the battery cell under monitoring in the corresponding long period is calculated based on the charging and discharging power difference of each hour within a long period.

[0037] Optionally, the step of determining the safety monitoring result of the battery cell under monitoring based on the parameter comparison result obtained by comparing the battery cell under monitoring in at least one group includes:

[0038] Based on the anomaly level characterized by the parameter comparison results obtained by comparing the battery cell under monitoring in at least one group, the comprehensive anomaly level of the battery cell under monitoring is determined, and the comprehensive anomaly level is used as the safety monitoring result of the battery cell under monitoring.

[0039] Optionally, after determining the safety monitoring result of the battery cell under monitoring based on the parameter comparison result obtained by comparing the battery cell under monitoring in at least one group, the method further includes:

[0040] When the safety monitoring result of the battery cell under monitoring indicates that the battery cell under monitoring needs to be abnormally handled, the abnormal handling measures corresponding to the safety monitoring result of the battery cell under monitoring shall be executed, wherein the abnormal handling measures include outputting early warning prompts and / or disconnecting connections.

[0041] To achieve the above objectives, the present invention also provides an energy storage system safety monitoring device, the energy storage system safety monitoring device comprising:

[0042] The acquisition module is used to acquire monitoring parameter information obtained by monitoring each cell to be monitored during the operation of the energy storage system;

[0043] The comparison module is used to compare the monitoring parameter information of each cell in the same group according to a preset grouping rule to obtain a parameter comparison result.

[0044] The determination module is used to determine the safety monitoring result of the battery cell to be monitored based on the parameter comparison result obtained by comparing the battery cell to be monitored in at least one group.

[0045] To achieve the above objectives, the present invention also provides an energy storage system safety monitoring device, the energy storage system safety monitoring device comprising: a memory, a processor, and an energy storage system safety monitoring program stored in the memory and executable on the processor, wherein when the energy storage system safety monitoring program is executed by the processor, it implements the steps of the energy storage system safety monitoring method as described above.

[0046] Furthermore, to achieve the above objectives, the present invention also proposes a computer-readable storage medium storing an energy storage system safety monitoring program, wherein the energy storage system safety monitoring program, when executed by a processor, implements the steps of the energy storage system safety monitoring method as described above.

[0047] In this invention, monitoring parameter information obtained from monitoring each cell under test during the operation of the energy storage system is acquired. For cells grouped into the same group according to a preset grouping rule, the monitoring parameter information of each cell within the same group is compared to obtain a parameter comparison result. The safety monitoring result of the cell under test is determined based on the parameter comparison result obtained from comparing the cells in at least one group. Compared to comparing individual temperature values ​​and thresholds for each cell, this invention considers the correlation between cells. By grouping cells and determining the safety monitoring result of a cell based on the comparison result of the monitoring parameter information of cells within the same group, it is possible to determine the safety status of a cell based on the differences in the monitoring parameter status reflected by the monitoring parameter information. This reduces false detections and improves the accuracy of safety monitoring of the energy storage system. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of the hardware operating environment involved in the embodiments of the present invention;

[0049] Figure 2 This is a flowchart illustrating the first embodiment of the energy storage system safety monitoring method of the present invention;

[0050] Figure 3 This is a schematic diagram of a safety monitoring process according to an embodiment of the present invention;

[0051] Figure 4 , Figure 5 and Figure 6 These are schematic diagrams illustrating three security monitoring system architectures involved in embodiments of the present invention;

[0052] Figure 7 This is a schematic diagram of the functional modules of a preferred embodiment of the energy storage system safety monitoring device of the present invention.

[0053] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0054] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0055] like Figure 1 As shown, Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention.

[0056] It should be noted that the energy storage system safety monitoring device in this embodiment of the invention can be a smartphone, personal computer, server, or other device, and no specific limitation is made here.

[0057] like Figure 1 As shown, the energy storage system safety monitoring device may include: a processor 1001, such as a CPU; a network interface 1004; a user interface 1003; a memory 1005; and a communication bus 1002. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed RAM or a stable, non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0058] Those skilled in the art in this field can understand. Figure 1 The equipment structure shown does not constitute a limitation on the safety monitoring equipment for energy storage systems. It may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0059] like Figure 1 As shown, the memory 1005, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an energy storage system safety monitoring program. The operating system is a program that manages and controls the hardware and software resources of the device, supporting the operation of the energy storage system safety monitoring program and other software or programs. Figure 1 In the device shown, the user interface 1003 is mainly used for data communication with the client; the network interface 1004 is mainly used for establishing a communication connection with the server; and the processor 1001 can be used to call the energy storage system safety monitoring program stored in the memory 1005 and perform the following operations:

[0060] Acquire monitoring parameter information obtained by monitoring each cell under test during the operation of the energy storage system;

[0061] For each of the cells to be monitored that are grouped into the same group according to a preset grouping rule, the monitoring parameter information of each cell in the same group is compared to obtain the parameter comparison result.

[0062] The safety monitoring result of the battery cell to be monitored is determined based on the parameter comparison results obtained by comparing the battery cell to be monitored in at least one group.

[0063] Furthermore, the monitoring parameter information includes at least one monitoring parameter value of the cell to be monitored. For any target group, the operation of comparing the monitoring parameter information of each cell in the target group to obtain the parameter comparison result includes:

[0064] For the comparison parameter value corresponding to the target group in each of the monitoring parameter values, calculate the center value of the comparison parameter value of the same item in each cell in the target group, and determine the normal parameter range corresponding to each of the comparison parameter values ​​based on the center value;

[0065] For any target cell in the target group, any one of the target parameter values ​​to be compared of the target cell is compared with the corresponding normal parameter range to obtain the range comparison result corresponding to the target parameter value. The range comparison result includes a result indicating whether the target parameter value exceeds the corresponding normal parameter range, and / or a result indicating the degree to which the target parameter value exceeds the corresponding normal parameter range.

[0066] Based on the range comparison results corresponding to the various comparison parameter values ​​of the target battery cell, the grouping anomaly level of the target battery cell is determined, and the grouping anomaly level is used as the parameter comparison result obtained by comparing the target battery cell in the target group.

[0067] Furthermore, when the target battery cell's comparison parameter values ​​include electrical parameter values ​​and temperature parameter values, the operation of determining the grouping anomaly level of the target battery cell based on the range comparison results corresponding to the comparison parameters of the target battery cell includes:

[0068] Based on the comparison results of the ranges corresponding to the electrical parameter values ​​of the target battery cell, the electrical anomaly level of the target battery cell is determined;

[0069] If the electrical anomaly level is greater than the first preset level, then the grouping anomaly level of the target battery cell is determined according to the electrical anomaly level and the temperature anomaly level of the target battery cell, wherein the temperature anomaly level is determined according to the range comparison result corresponding to the temperature parameter value of the target battery cell;

[0070] If the electrical anomaly level is less than or equal to the first preset level, then the grouping anomaly level of the target cell is determined according to the electrical anomaly level of the target cell.

[0071] Furthermore, before the operation of comparing the monitoring parameter information of each cell in the same group to obtain the parameter comparison result, the method further includes:

[0072] Divide the cells in the same cell string within the monitored cells into the same group; and / or,

[0073] Cells under the same operating conditions at the same time or during the same period are grouped into the same group. The same operating conditions are those where one or more operating parameters, such as fan speed, charging / discharging status, power level, and current level, are the same.

[0074] Furthermore, the monitoring parameter information includes at least one time parameter value obtained by monitoring the cell under test at the time of safety analysis, and at least one parameter change rate obtained by monitoring at least one historical period before the time of safety analysis;

[0075] The operation of comparing the monitoring parameter information of each cell in the same group according to a preset grouping rule to obtain a parameter comparison result includes:

[0076] The time parameter values ​​of each first cell in the first group are compared to obtain the first parameter comparison result, wherein the first group is a group composed of cells under the same operating conditions at the time of the safety analysis.

[0077] The time parameter values ​​of each cell in the second group are compared to obtain the second parameter comparison result. The second group is a group composed of each cell to be monitored in the cell string where the first abnormal cell is located. The first abnormal cell is a cell whose group abnormality level represented by the first parameter comparison result is greater than the second preset level.

[0078] The parameter change rate of each cell in the third group is compared within the historical period corresponding to the third group to obtain the third parameter comparison result. The third group is a group composed of cells that are under the same operating conditions as the second abnormal cell in the same historical period. The second abnormal cell is a cell in the first abnormal cell whose group abnormality level represented by the second parameter comparison result is greater than the third preset level.

[0079] The parameter change rate of each cell in the fourth group is compared within the same historical period to obtain the fourth parameter comparison result. The fourth group is a group composed of each cell to be monitored in the cell string where the third abnormal cell is located. The third abnormal cell is a cell whose group abnormality level represented by the third parameter comparison result is greater than the fourth preset level among the second abnormal cells.

[0080] The parameter change rates of the cells in the fifth group are compared in each historical period to obtain the fifth parameter comparison result, wherein each fifth group includes one of the first abnormal cells.

[0081] Furthermore, the operation of acquiring monitoring parameter information obtained by monitoring each cell to be monitored during the operation of the energy storage system includes:

[0082] The original parameter values ​​at each moment are obtained by monitoring each cell to be monitored at a preset monitoring frequency during the operation of the energy storage system.

[0083] Cluster the original time parameter values ​​of the same item of each of the monitored cells at the same time to obtain the time cluster center value corresponding to each original time parameter value. Subtract the corresponding time cluster center value from each original time parameter value to obtain the time normalization parameter value.

[0084] The parameter change rate is calculated based on the time-normalized parameter value of the battery cell under monitoring at each time point within a time period;

[0085] Based on the time-normalized parameter value of the cell under test at the time of safety analysis and the rate of change of the parameter in each historical period before the time of safety analysis, the monitoring parameter information of the cell under test at the time of safety analysis is obtained.

[0086] Furthermore, the time-normalized parameter value includes at least a time-normalized electrical value, which includes at least a time-normalized voltage value and a time-normalized current value.

[0087] The operation of calculating the parameter change rate based on the parameter values ​​at various times within a time period of the battery cell under monitoring includes:

[0088] The time-normalized power value of the battery cell under monitoring is calculated based on the time-normalized voltage value and the time-normalized current value of the battery cell under monitoring at the same time.

[0089] The voltage change rate of the monitored battery cell during the corresponding time period is calculated based on the normalized voltage value of the monitored battery cell at each time point within a time period.

[0090] The power change rate of the monitored battery cell in the corresponding time period is calculated based on the normalized power value of the monitored battery cell at each time point within a time period.

[0091] The charging and discharging power difference within an hour is calculated based on the time-normalized power value of the battery cell under monitoring at each moment within an hour. The rate of change of the charging and discharging power difference of the battery cell under monitoring in the corresponding long period is calculated based on the charging and discharging power difference of each hour within a long period.

[0092] Further, the operation of determining the safety monitoring result of the battery cell under monitoring based on the parameter comparison result obtained by comparing the battery cell under monitoring in at least one group includes:

[0093] Based on the anomaly level characterized by the parameter comparison results obtained by comparing the battery cell under monitoring in at least one group, the comprehensive anomaly level of the battery cell under monitoring is determined, and the comprehensive anomaly level is used as the safety monitoring result of the battery cell under monitoring.

[0094] Furthermore, after determining the safety monitoring result of the battery cell under monitoring based on the parameter comparison result obtained by comparing the battery cell under monitoring in at least one group, the method further includes:

[0095] When the safety monitoring result of the battery cell under monitoring indicates that the battery cell under monitoring needs to be abnormally handled, the abnormal handling measures corresponding to the safety monitoring result of the battery cell under monitoring shall be executed, wherein the abnormal handling measures include outputting early warning prompts and / or disconnecting connections.

[0096] Based on the above structure, various embodiments of the energy storage system safety monitoring method are proposed.

[0097] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the energy storage system safety monitoring method of the present invention.

[0098] This invention provides an embodiment of a safety monitoring method for energy storage systems. It should be noted that although the flowchart shows a logical order, in some cases, the steps shown or described may be executed in a different order. In this embodiment, the executing entity of the energy storage system safety monitoring method can be a personal computer, smartphone, server, or other device; no limitation is made in this embodiment. For ease of description, the execution entity is omitted from the following description of each embodiment. In this embodiment, the energy storage system safety monitoring method includes:

[0099] Step S10: Obtain monitoring parameter information obtained by monitoring each cell to be monitored during the operation of the energy storage system;

[0100] The temperatures of individual cells in an energy storage system may be correlated. For example, the temperatures of cells located close together can influence each other, and different operating conditions can affect the monitoring parameters of the cells. Therefore, the temperature differences between cells operating under different conditions may be significant. Consequently, judging the safety status of a cell solely based on comparing its individual temperature with a common threshold can easily lead to misjudgments. For instance, a cell temperature T℃ might be abnormal under one operating condition, but normal under another. Therefore, when the threshold is set to T℃, a cell in a normal state might be misjudged as being in an abnormal state, resulting in a false alarm.

[0101] In this embodiment, to address the aforementioned issues, it is proposed that when conducting safety monitoring of an energy storage system, each battery cell be grouped according to certain grouping rules. Cells with consistent monitoring parameters under normal conditions are grouped together, and the monitoring parameter information of the cells within each group is compared. Based on the comparison results, the safety monitoring results of each cell are determined, thereby improving the accuracy of safety monitoring of the energy storage system.

[0102] The battery cells in the energy storage system that need to be monitored are designated as the cells to be monitored. For each cell to be monitored, a monitoring device can be set up to monitor at least one parameter of the cell (hereinafter referred to as the monitoring parameter for distinction). The monitoring parameter can include directly measured parameters, such as cell temperature, cell voltage, and cell current, or parameters calculated from directly measured parameters, such as cell power, the rate of change of cell voltage over a time period, and the rate of change of cell temperature over a time period. This embodiment does not impose any limitations. In a specific implementation, by monitoring electrical parameters and combining the monitored electrical parameter information with the monitored temperature information, the safety status of the cell is determined, which is more accurate than determining the safety status of the cell solely based on temperature information. Different monitoring devices can be used to monitor different parameters, and the specific implementation method of the monitoring device and its setting method in the energy storage system are not limited in this embodiment.

[0103] During the operation of the energy storage system, monitoring parameter information is acquired by monitoring each battery cell individually. This monitoring parameter information refers to the specific values ​​of the monitoring parameters for each battery cell. In other words, the monitoring parameter information can include at least one monitoring parameter value. For example, when temperature is included as a monitoring parameter, the monitoring parameter information can include the temperature value of the battery cell at a specific moment.

[0104] In a specific implementation, a security analysis can be performed at regular intervals (hereinafter, the moment when the security analysis begins is referred to as the security analysis moment). That is, monitoring parameter information is acquired at regular intervals, and a security analysis is performed based on the acquired monitoring parameter information. The time interval between two adjacent security analyses can be set according to the real-time requirements of security monitoring in the specific application scenario. When the real-time requirements are high, the time interval can be set to be shorter, such as analyzing once every 10 minutes.

[0105] It should be noted that the time interval for performing safety analysis may differ from the time interval for monitoring the various monitoring parameters of the battery cell under monitoring. For example, if the monitoring parameter values ​​of the battery cell under monitoring are collected every minute and a safety analysis is performed every 10 minutes, then the monitoring parameter information obtained during the safety analysis may include the monitoring parameter values ​​monitored at the time of the safety analysis, or it may also include the monitoring parameter values ​​monitored before the time of the safety analysis. In this embodiment, no specific limitation is imposed.

[0106] Step S20: For each of the cells to be monitored that are divided into the same group according to a preset grouping rule, the monitoring parameter information of each cell in the same group is compared to obtain the parameter comparison result.

[0107] Each battery cell to be monitored can be divided into multiple groups according to preset grouping rules, with each group including at least one cell. In specific embodiments, the battery cells to be monitored can be grouped in advance, during each security analysis, or after the monitoring parameter information is obtained, based on the specific situation of the monitoring parameter information; the same battery cell to be monitored can be assigned to only one group or to multiple groups; when a battery cell to be monitored may be assigned to multiple groups, it can be assigned to multiple groups simultaneously, or it can be assigned to a certain group first, and then, based on the parameter comparison results of the battery cell to be monitored in that group, it can be determined whether to assign the battery cell to other groups. In this embodiment, there are no restrictions on the grouping rules and the timing of grouping.

[0108] In a specific implementation, the grouping rules can be set according to the monitoring parameters to be monitored, so that when grouping according to the grouping rules, the cells to be monitored that are at the same level of monitoring parameters under normal conditions can be assigned to the same group, thereby enabling the safety status of each cell to be judged based on the comparison results of the monitoring parameter information of the cells within the group.

[0109] For each cell grouped into the same subgroup (here, "each" does not imply that a subgroup necessarily contains multiple cells), the monitoring parameters of each cell can be compared. The results of this comparison are referred to as the parameter comparison results for differentiation. It can be understood that if multiple cells have consistent monitoring parameters under normal conditions, then if the monitoring parameter of one cell differs significantly from the others, that cell may be abnormal or in an abnormal state. Conversely, if the monitoring parameters of a cell are consistent across different times (or periods) under normal conditions, then if the monitoring parameter at a particular moment differs significantly from the others, that cell may be abnormal. The purpose of comparing the monitoring parameters of each cell is to determine the differences between them, and thus, based on the magnitude of these differences, to identify any abnormal cells. It should be noted that when a group includes multiple battery cells, comparing the monitoring parameter information of each battery cell can specifically include comparing the same monitoring parameter values ​​of the same battery cell at different times or time periods (hereinafter referred to as longitudinal comparison), or comparing the same monitoring parameter values ​​of different battery cells at the same time or time period (hereinafter referred to as horizontal comparison). When a group includes a single battery cell, a longitudinal comparison can be performed on that battery cell. In specific implementations, there are many comparison methods that can achieve the above comparison objectives, and this embodiment does not impose any limitations. The form of the parameter comparison results can also be set as needed, and this embodiment does not impose any limitations. For example, it can be set to compare parameters that characterize whether each battery cell is an abnormal battery cell.

[0110] For example, in one embodiment, for any cell in any group, for the comparison parameter value corresponding to the group in each monitoring parameter value, it is determined whether there is at least one cell in the other cells in the group whose difference with the cell is greater than a certain threshold. If so, it can be determined that the parameter comparison result of the cell in the group is that the cell is in an abnormal state.

[0111] In a specific implementation, the monitoring parameter information of each cell to be monitored can be represented in matrix form. When the cells to be monitored are grouped, the monitoring parameter information of each cell in the same group can be extracted from the matrix and represented in a new matrix to improve computational efficiency.

[0112] Step S30: Determine the safety monitoring result of the battery cell to be monitored based on the parameter comparison result obtained by comparing the battery cell to be monitored in at least one group.

[0113] After comparing the various groups, for each cell to be monitored, the safety monitoring result can be determined based on the parameter comparison results obtained by comparing the cell in at least one group. In a specific implementation, when the cell to be monitored is divided into multiple groups, the safety monitoring result can be determined based on the parameter comparison results obtained by comparing the cell in one or more of those groups; alternatively, when the cell to be monitored is divided into only one group, the safety monitoring result can be determined based on the parameter comparison results obtained by comparing the cell in that group.

[0114] The safety monitoring results can specifically indicate whether the monitored battery cell is an abnormal cell, or they can indicate the degree of abnormality of the monitored battery cell. In specific implementations, the settings can be configured according to the needs of specific application scenarios, and this implementation does not impose any limitations.

[0115] Furthermore, in a specific implementation, after obtaining the safety monitoring results of the cells to be monitored, the safety monitoring results of each cell can be output, for example, in the form of a report. Alternatively, corresponding anomaly handling measures can be implemented for abnormal cells, or corresponding levels of anomaly handling measures can be implemented for cells with different anomaly levels. No specific limitations are imposed in this embodiment.

[0116] Compared to comparing individual temperature values ​​and thresholds for each cell, this embodiment takes into account the correlation between cells. By grouping cells and comparing the monitoring parameter information of cells within the same group, the safety monitoring results of the cells are determined. This enables the determination of the cell's safety status based on the differences in the monitoring parameter status reflected by the monitoring parameter information, thereby reducing false detections and improving the accuracy of safety monitoring of the energy storage system.

[0117] Furthermore, in specific implementations, the safety status of the battery cell can be analyzed and judged from multiple dimensions and angles, such as temperature, voltage, and power, thereby enabling accurate knowledge of the battery cell's safety status without needing to inspect its internal condition, and allowing for more precise prediction of the battery cell's safety status.

[0118] Furthermore, in one embodiment, before step S20, the method further includes:

[0119] Step S40: Divide the cells in the same cell string into the same group in the cell to be monitored;

[0120] This embodiment proposes two grouping rules. In the actual implementation process, one or both of them can be selected for implementation as needed.

[0121] The first grouping rule is to group cells within the same cell string into the same group, that is, each cell string is grouped together. In this case, the cells within the same cell string are connected in series. Under normal circumstances, the monitoring parameters of each cell are at the same level. If an internal abnormality occurs in a cell within the cell string, such as an internal short circuit, its monitoring parameters will differ from those of other normal cells. Therefore, grouping cells within the same cell string into the same group allows for the comparison of the monitoring parameter information of each cell within the same cell string to determine the safety status of each cell.

[0122] Step S50: Divide the cells under the same operating conditions at the same time or during the same period into the same group. The same operating conditions are conditions in which one or more of the following operating parameters are the same: fan speed, charging and discharging status, power and current.

[0123] The second grouping rule groups cells operating under the same conditions at the same time or within the same time period into the same group. This time can be the moment of safety analysis or a moment prior to the safety analysis, and can be set as needed. Considering that the monitoring parameters of cells may differ depending on their fan speed, charging / discharging status, and other operating conditions, this second grouping rule groups cells operating under the same conditions at the same time or within the same time period into the same group. When an internal anomaly occurs in a cell within the same group, such as an internal short circuit, its monitoring parameters will differ from those of other normal cells. Therefore, grouping cells operating under the same conditions at the same time or within the same time period into the same group allows for the comparison of monitoring parameter information from cells operating under the same conditions to determine the safety status of each cell.

[0124] In specific implementations, the same operating condition can be defined as one or more of the following parameters being identical: fan speed, charging / discharging state, energy level, and current magnitude. For example, in one implementation, the same operating condition can be considered to apply when the fan speed, charging / discharging state, energy level, and current magnitude are all the same. The operating conditions of each battery cell at different times or during different time periods can be additionally monitored. The fan speed refers to the setting of the fan used to cool the battery cells in the energy storage system; different speeds indicate different airflow intensities and cooling effects. Different fans may be set to different speeds.

[0125] In a specific implementation, each cell to be monitored can be grouped according to both the first grouping rule and the second grouping rule. When determining the safety monitoring result of the cell based on the parameter comparison results of the cell in the two groups, it is possible to investigate abnormalities inside the cell from two dimensions, thereby making the monitoring results more accurate.

[0126] Furthermore, in one embodiment, after step S30, the method further includes:

[0127] Step S60: When the safety monitoring result of the cell to be monitored indicates that the cell to be monitored needs to be abnormally handled, the abnormal handling measures corresponding to the safety monitoring result of the cell to be monitored are executed, wherein the abnormal handling measures include outputting early warning prompts and / or disconnecting connections.

[0128] The safety monitoring results of the monitored battery cell may indicate that the monitored battery cell is normal or abnormal. For each safety monitoring result indicating an abnormality, corresponding abnormality handling measures can be set. For example, abnormality handling measures may include outputting early warning information and / or disconnecting the connection. Different safety monitoring results can correspond to different abnormality handling measures. For example, when the safety monitoring result indicates that the abnormality of the battery cell is minor, the abnormality handling measure may be to output an early warning to enable the staff to investigate the abnormal battery cell. Or, when the safety monitoring result indicates that the abnormality of the battery cell is severe, the abnormality handling measure may be to disconnect the connection to prevent the battery cell from continuing to work and causing a fire.

[0129] Furthermore, in one embodiment, such as Figure 3 As shown, the monitoring parameter information can include the cell's electrical parameters (voltage value, current value, and / or power value) and / or temperature value at the moment of safety analysis, and can also include the rate of change of electrical parameters (voltage rate of change, current rate of change, power rate of change, and / or charge / discharge power difference rate of change) and / or temperature rate of change for each historical period before the moment of safety analysis. Cells can be grouped by cell string or by operating conditions. The safety status (or safety monitoring result) of the cell under monitoring is determined by comparing the results of various groups, and early warning or pre-protection measures are implemented based on the safety status.

[0130] Furthermore, in a specific implementation, each cell to be monitored can be assigned a number, which can indicate the cell string in which it is located. The number of the cell to be monitored is associated with its corresponding monitoring parameter information and stored, thereby facilitating the differentiation and processing of the monitoring parameter information of each cell to be monitored.

[0131] Furthermore, based on the first embodiment described above, a second embodiment of the energy storage system safety monitoring method of the present invention is proposed. In this embodiment, the step S20 of comparing the monitoring parameter information of each cell in any target group to obtain the parameter comparison result includes:

[0132] Step S201: For the comparison parameter values ​​corresponding to the target group in each of the monitored parameter values, calculate the center value of the comparison parameter values ​​of the same item in each cell in the target group, and determine the normal parameter range corresponding to each of the comparison parameter values ​​based on the center value;

[0133] In this embodiment, the monitoring parameter information may include at least one monitoring parameter value of the battery cell to be monitored. It should be explained that the specific values ​​of different monitoring parameters are called different monitoring parameter values, and different values ​​of the same monitoring parameter belong to the same monitoring parameter value category. For example, the temperature and voltage values ​​of the battery cell are different monitoring parameter values, while two temperature values ​​of the same battery cell at different times belong to the same monitoring parameter value category, and the temperature values ​​of two battery cells at the same time also belong to the same monitoring parameter value category.

[0134] In a specific implementation, the monitoring parameters to be compared for groups obtained according to different grouping rules can be different. For any group obtained (hereinafter referred to as the target group), the monitoring parameter value to be compared for the target group among the various monitoring parameter values ​​is taken as the parameter value to be compared.

[0135] Calculate the median value of the comparison parameter for the same item in each cell within the target group. In a specific implementation, the target group may contain only one cell. In this case, the median value of multiple comparison parameter values ​​for the same item of that cell can be calculated, such as calculating the median value of the voltage change rate of that cell over different time periods. Alternatively, the target group may contain multiple cells. In this case, the median value of the comparison parameter values ​​for the same item of multiple cells can be calculated, such as calculating the median value of the voltage values ​​of multiple cells at a certain moment.

[0136] The center value of multiple parameters to be compared is a numerical value representing a central level of these multiple parameter values. In specific implementations, there are many ways to calculate the center value of multiple parameter values ​​to be compared, and this embodiment does not impose any restrictions. For example, the K-means clustering algorithm can be used for clustering, and the number of clusters can be set to 1 to obtain a cluster center value.

[0137] Based on the calculated center value of a parameter to be compared, a range can be determined for that parameter. This range represents the normal level of that parameter within the group. Hereinafter, this range will be referred to as the normal parameter range for distinction. Specifically, determining the normal parameter range based on the center value can be achieved by floating the center value up or down by a certain amount. This floating value can be set empirically.

[0138] In other implementations, parameter comparisons may be temporarily suspended for a period of time during the initial startup of the energy storage system. During this period, for the parameter values ​​to be compared corresponding to the target group among the various monitoring parameter values, the range consisting of the maximum and minimum values ​​of the same parameter values ​​of each cell in the target group is used as the normal parameter range corresponding to the parameter values ​​to be compared of each cell in the target group when conducting safety analysis in subsequent periods.

[0139] Step S202: For any target cell in the target group, compare any one of the target parameter values ​​to be compared with the corresponding normal parameter range to obtain the range comparison result corresponding to the target parameter value. The range comparison result includes a result indicating whether the target parameter value exceeds the corresponding normal parameter range, and / or a result indicating the degree to which the target parameter value exceeds the corresponding normal parameter range.

[0140] For any cell in the target group (hereinafter referred to as the target cell for distinction), any one of the comparison parameters of the target cell (hereinafter referred to as the target parameter value for distinction) is compared with the corresponding normal parameter range to obtain a comparison result (hereinafter referred to as the range comparison result for distinction). For example, comparing the temperature value of the target cell with the normal temperature range yields a range comparison result, and comparing the voltage value of the target cell with the normal voltage range yields a range comparison result.

[0141] In specific implementations, depending on the specific needs, the range comparison results can be set to include results indicating whether the target parameter value exceeds the corresponding normal parameter range, or results indicating the degree to which the target parameter value exceeds the corresponding normal parameter range, or results indicating both whether the target parameter value exceeds the corresponding normal parameter range and the degree to which the target parameter value exceeds the corresponding normal parameter range. In this embodiment, no limitation is imposed.

[0142] Step S203: Based on the range comparison results corresponding to the various comparison parameter values ​​of the target cell, determine the grouping anomaly level of the target cell, and use the grouping anomaly level as the parameter comparison result obtained by comparing the target cell in the target group.

[0143] After obtaining the range comparison results for each comparison parameter value of the target battery cell, the anomaly level of the target battery cell can be determined based on the comparison results of each range (hereinafter referred to as group anomaly level for distinction). In specific implementations, the method of determining the group anomaly level based on the range comparison results can be set as needed, and this embodiment does not impose any restrictions. It can be understood that when the target battery cell does not have any comparison parameter values ​​exceeding the corresponding normal parameter range, its group anomaly level is generally the lowest level, that is, it means that the result obtained by comparing in this target group is that the target battery cell has no anomaly; when the number of comparison parameter values ​​of the target battery cell exceeding the corresponding normal parameter range is more, its anomaly level is generally higher; when the degree to which the comparison parameter values ​​of the target battery cell exceed the corresponding normal parameter range is greater, its anomaly level is generally higher.

[0144] Further, in one embodiment, step S30 includes:

[0145] Step S301: Based on the anomaly level characterized by the parameter comparison results obtained by comparing the battery cell under monitoring in at least one group, determine the comprehensive anomaly level of the battery cell under monitoring, and use the comprehensive anomaly level as the safety monitoring result of the battery cell under monitoring.

[0146] When the parameter comparison results obtained by comparing the monitored battery cell in groups can characterize the abnormality level of the monitored battery cell, for example, when the parameter comparison results are the group abnormality level of the monitored battery cell, the final abnormality level of the monitored battery cell can be determined based on the parameter comparison results obtained by comparing the monitored battery cell in at least one group (hereinafter referred to as the comprehensive abnormality level for distinction), and the comprehensive abnormality level is used as the safety monitoring result of the monitored battery cell. In specific implementations, the method of determining the comprehensive abnormality level based on the parameter comparison results can be set as needed, and this embodiment is not limited. It is understood that when the abnormality level of the monitored battery cell characterized by the parameter comparison results is higher, the comprehensive abnormality level of the monitored battery cell is generally higher.

[0147] Further, in one embodiment, step S203 includes:

[0148] Step S2031: Determine the electrical anomaly level of the target battery cell based on the range comparison results corresponding to the electrical parameter values ​​of the target battery cell;

[0149] Considering that it is more accurate to judge the safety status of the battery cell directly based on electrical parameter values, and that temperature anomaly is only one manifestation of an internal abnormality of the battery cell, judging the safety status of the battery cell solely based on temperature may lead to false detections, in this embodiment, the monitoring parameters may include electrical parameters and temperature parameters (temperature and / or the rate of temperature change). When the target battery cell's various comparison parameter values ​​include electrical parameter values ​​and temperature parameter values, the grouping anomaly level of the target battery cell can be determined mainly based on the comparison results of the range of electrical parameter values, with the comparison results of the range of temperature parameter values ​​used as an auxiliary factor.

[0150] Specifically, the anomaly level of the target battery cell can be determined based on the comparison results of the ranges corresponding to the various electrical parameter values ​​of the target battery cell (hereinafter referred to as the electrical anomaly level for distinction). In specific implementations, the method of determining the electrical anomaly level based on the range comparison results can be set as needed, and there is no limitation in this implementation. It can be understood that when the electrical parameter values ​​of the target battery cell do not exceed the corresponding normal parameter range, its electrical anomaly level is generally the lowest level, that is, it means that the result of comparing the electrical parameter values ​​in the target group is that the target battery cell has no anomaly; the more electrical parameter values ​​of the target battery cell exceed the corresponding normal parameter range, the higher its anomaly level is generally; the greater the degree to which the electrical parameter values ​​of the target battery cell exceed the corresponding normal parameter range, the higher its anomaly level is generally.

[0151] Step S2032: If the electrical anomaly level is greater than the first preset level, then the grouping anomaly level of the target battery cell is determined according to the electrical anomaly level and the temperature anomaly level of the target battery cell, wherein the temperature anomaly level is determined according to the range comparison result corresponding to the temperature parameter value of the target battery cell;

[0152] The temperature parameter values ​​of each cell in the target group can be compared to obtain the range comparison results corresponding to the temperature parameter values. The temperature anomaly level of the target cell can be determined based on the range comparison results. The specific determination method is not limited in this embodiment.

[0153] If the electrical anomaly level of the target battery cell is greater than the first preset level, the grouping anomaly level of the target battery cell can be determined based on both the electrical anomaly level and the temperature anomaly level. The first preset level can be set as needed. When the electrical anomaly level is greater than this first preset level, it indicates that the target battery cell may be in an abnormal state. In this case, if the temperature anomaly level is also high, it further indicates that the target battery cell has already experienced an anomaly. Determining the grouping anomaly level of the target battery cell based on the electrical and temperature anomaly levels can be achieved by adding the two levels together or adding them according to a certain weight. For example, if the electrical anomaly level is 3 and the temperature anomaly level is 3, then the grouping anomaly level could be 6.

[0154] Step S2033: If the electrical abnormality level is less than or equal to the first preset level, then determine the grouping abnormality level of the target battery cell based on the electrical abnormality level of the target battery cell.

[0155] If the electrical anomaly level is less than or equal to the first preset level, it indicates that the target cell may be in a normal state. In this case, it is not necessary to compare the temperature of the target cell. The group anomaly level of the target cell can be determined directly based on the electrical anomaly level. For example, the electrical anomaly level can be directly used as the group anomaly level, or it can be multiplied by a certain ratio and then used as the group anomaly level.

[0156] In one embodiment, when it is determined that the electrical abnormality level of each cell in the target group does not exceed the first preset level, the temperature parameter values ​​of each cell in the target group are not compared, so as to save computing resources.

[0157] Furthermore, based on the first and / or second embodiments described above, a third embodiment of the energy storage system safety monitoring method of the present invention is proposed. In this embodiment, step S20 includes:

[0158] Step S204: Compare the time parameter values ​​of each first cell in the first group to obtain the first parameter comparison result, wherein the first group is a group composed of cells under the same operating conditions at the time of the safety analysis.

[0159] In this embodiment, the monitoring parameter information of the battery cell to be monitored may include at least one monitoring parameter value obtained by monitoring the battery cell at the time of safety analysis (hereinafter referred to as the time parameter value for distinction), and may also include at least one monitoring parameter value representing the rate of change obtained by monitoring the battery cell during at least one historical period before the time of safety analysis (hereinafter referred to as the parameter change rate), such as voltage change rate, temperature change rate, power change rate, etc. The time parameter value represents the result of the safety state of the battery cell at the time of safety analysis, that is, it can reflect whether the battery cell is normal or abnormal at the time of safety analysis, while the parameter change rate represents the process of the change of the safety state of the battery cell before the time of safety analysis, that is, it may reflect the process of the battery cell changing from a normal state to an abnormal state before the time of safety analysis. In this embodiment, the safety status of the battery cell is determined by combining the time parameter value and the parameter change rate. This not only allows for the detection of obvious anomalies that have occurred in the battery cell at the time of safety analysis based on the time parameter value, but also allows for the early detection of anomalies that have not been clearly shown in the battery cell at the time of safety analysis based on the parameter change rate. This facilitates early implementation of safety protection measures and avoids irreparable situations caused by delayed detection of anomalies.

[0160] It should be explained that voltage, current, power and their corresponding rates of change are all electrical parameter values, while temperature and its corresponding rate of change are all temperature parameter values.

[0161] In this embodiment, cells under the same operating conditions at the time of safety analysis can be grouped into the same group, hereinafter referred to as the first group for distinction. The specific method for setting the same operating conditions is not limited in this embodiment.

[0162] There may be multiple first groups. For each first group, the time parameter values ​​of each cell (hereinafter referred to as the first cell for distinction) in the first group are compared to obtain a parameter comparison result (hereinafter referred to as the first parameter comparison result for distinction). That is, the parameter values ​​to be compared corresponding to the first group are time parameter values. The specific implementation of comparing the time parameter values ​​of each cell to obtain the first parameter comparison result can refer to the above embodiment, and will not be repeated here.

[0163] Step S205: Compare the time parameter values ​​of each cell in the second group to obtain the second parameter comparison result. The second group is a group composed of each cell to be monitored in the cell string where the first abnormal cell is located. The first abnormal cell is a cell whose group abnormality level represented by the first parameter comparison result is greater than the second preset level.

[0164] Cells whose grouping anomaly level, as represented by the comparison result of the first parameter, is greater than the second preset level are designated as first abnormal cells. It should be noted that the grouping anomaly level represented by the comparison result of the first parameter means that the comparison result itself can be a grouping anomaly level, or it can be a result that can be used to determine the grouping anomaly level; this embodiment does not impose any limitations.

[0165] The second preset level can be set as needed. When the grouping anomaly level represented by the first parameter comparison result of the first cell is greater than the second preset level, it indicates that the first cell exhibited an anomaly among cells operating under the same conditions at the time of safety analysis. In this case, the first cell can be further divided into other groups, and the parameter comparison results of other groups can be combined to determine whether the first cell has actually experienced an anomaly or to further determine the degree of its anomaly. When the grouping anomaly level represented by the first parameter comparison result of the first cell is less than or equal to the second preset level, it indicates that the first cell did not exhibit an anomaly among cells operating under the same conditions at the time of safety analysis. In this case, it can be determined that the first cell is in a normal state, or at least that not taking any anomaly warning or other protective measures for the first cell will not cause serious consequences. In this case, subsequent grouping and comparison analysis of the first cell can be omitted to avoid wasting computing resources.

[0166] There may be multiple first abnormal cells (or none at all). For each first abnormal cell, the cells to be monitored within the cell string containing the first abnormal cell can be divided into a group (hereinafter referred to as the second group for distinction).

[0167] In a specific implementation, for each cell in the first battery cell other than the first abnormal cell, its safety monitoring result can be determined directly based on the comparison result of the first parameter and the comparison result of the fifth parameter.

[0168] There may be multiple second groups. For each second group, the time parameter values ​​of each cell in the second group can be compared to obtain a parameter comparison result (hereinafter referred to as the second parameter comparison result for distinction). That is, the parameter value to be compared corresponding to the second group is the time parameter value. The specific implementation method of comparing the time parameter values ​​of each cell to obtain the second parameter comparison result can refer to the above embodiment, and will not be repeated here.

[0169] Step S206: Compare the parameter change rate of each cell in the third group within the historical time period corresponding to the third group to obtain the third parameter comparison result. The third group is a group composed of cells that are under the same operating conditions as the second abnormal cell in the same historical time period. The second abnormal cell is a cell in the first abnormal cell whose group abnormality level represented by the second parameter comparison result is greater than the third preset level.

[0170] Cells whose grouping anomaly level, as represented by the comparison results of the second parameter, is greater than the third preset level among the first abnormal cells are designated as second abnormal cells. It should be explained that the grouping anomaly level represented by the comparison results of the second parameter means that the comparison results themselves can be a grouping anomaly level, or a result that can be used to determine the grouping anomaly level.

[0171] The third preset level can be set as needed. When the grouping anomaly level represented by the second parameter comparison result of the first abnormal cell is greater than the third preset level, it indicates that the first abnormal cell also showed anomalies in its cell string at the time of safety analysis, and it can be considered that the probability of its anomaly is higher. At this time, the first abnormal cell can be further divided into other groups, and the parameter comparison results of other groups can be combined to determine whether the first abnormal cell has really become abnormal or to further determine the degree of its anomaly. When the grouping anomaly level represented by the second parameter comparison result of the first abnormal cell is less than or equal to the third preset level, it indicates that the first abnormal cell did not show anomalies in its cell string at the time of safety analysis, and it can be considered that the probability of its anomaly is low or the severity is not high. At this time, it can be determined that the first abnormal cell is in a low-level abnormal state, or at least that currently only a low-level warning measure for the first abnormal cell will not cause serious consequences. In this case, subsequent grouping and comparison analysis of the first abnormal cell can be omitted to avoid wasting computing resources.

[0172] There may be multiple second abnormal cells (or none). For each second abnormal cell, cells operating under the same conditions during the same historical period can be grouped into the same group (hereinafter referred to as the third group for distinction). Specifically, for multiple historical periods, the second abnormal cells can be divided into different third groups corresponding to different historical periods. For example, assuming the day before the safety analysis is divided into 24 periods, the second abnormal cells can be divided into 24 third groups, with each third group corresponding to one period.

[0173] In a specific implementation, for each cell other than the second abnormal cell in the first abnormal cell, its safety monitoring result can be determined directly based on the comparison results of the first parameter, the comparison results of the second parameter, and the comparison results of the fifth parameter.

[0174] There may be multiple third groups. For each third group, the parameter change rate of each cell in the third group can be compared within the historical period corresponding to that third group to obtain a parameter comparison result (hereinafter referred to as the third parameter comparison result for distinction). That is, the parameter value to be compared corresponding to the third group is the parameter change rate. The specific implementation method for comparing the parameter change rates of each cell to obtain the third parameter comparison result can refer to the above embodiment, and will not be repeated here.

[0175] Step S207: Compare the parameter change rates of each cell in the fourth group within the same historical period to obtain the fourth parameter comparison result. The fourth group is a group composed of each cell to be monitored in the cell string where the third abnormal cell is located. The third abnormal cell is a cell whose group abnormality level represented by the third parameter comparison result is greater than the fourth preset level among the second abnormal cells.

[0176] Cells whose grouping anomaly level, as represented by the comparison result of the third parameter, is greater than the fourth preset level among the second abnormal cells are designated as third abnormal cells. It should be explained that the grouping anomaly level represented by the comparison result of the third parameter means that the comparison result itself can be a grouping anomaly level, or it can be a result that can be used to determine the grouping anomaly level.

[0177] The fourth preset level can be set as needed. When the grouping anomaly level represented by the third parameter comparison result of the second abnormal cell is greater than the fourth preset level, it indicates that the second abnormal cell also exhibited anomalies among cells operating under the same conditions during the corresponding historical period. This suggests that the second abnormal cell was already exhibiting anomalies during that historical period, indicating a higher probability or severity of anomaly. In this case, the second abnormal cell can be further classified into other groups, and the parameter comparison results of other groups can be used to determine whether the second abnormal cell has actually become abnormal or to further determine the degree of its anomaly. When the grouping anomaly level represented by the third parameter comparison result of the second abnormal cell is less than or equal to the fourth preset level, it indicates that the second abnormal cell did not exhibit anomalies among cells operating under the same conditions during the corresponding historical period. This suggests that the time since the anomaly occurred is relatively short, and the degree of anomaly is not particularly high. In this case, the second abnormal cell can be determined to be in a medium-level abnormal state, or at least that currently only medium-level warning or protection measures are needed without causing serious consequences. In this situation, further grouping and comparative analysis of the second abnormal cell is unnecessary to avoid wasting computational resources.

[0178] There may be multiple third abnormal cells (or none at all). For each third abnormal cell, the cells in the cell string containing the third abnormal cell can be grouped into a group (hereinafter referred to as the fourth group for distinction).

[0179] In a specific implementation, for each cell other than the third abnormal cell in the second abnormal cell, its safety monitoring result can be determined based on the comparison results of the first parameter, the second parameter, the third parameter, and the fifth parameter.

[0180] There may be multiple fourth groups. For each fourth group, the parameter change rates of each cell within that group can be compared over the same historical period to obtain a parameter comparison result (hereinafter referred to as the fourth parameter comparison result for distinction). That is, the parameter value to be compared corresponding to the fourth group is the parameter change rate. The specific implementation method for comparing the parameter change rates of each cell to obtain the fourth parameter comparison result can refer to the above embodiment and will not be repeated here. Specifically, the parameter change rates of multiple historical periods can be compared separately. For example, assuming the day before the safety analysis time is divided into 24 periods, the parameter change rates within each of the 24 periods can be compared separately to obtain the fourth parameter comparison result for each of the 24 periods.

[0181] For the third abnormal cell, its safety monitoring result can be determined based on the comparison results of the first parameter, the second parameter, the third parameter, the fourth parameter, and the fifth parameter.

[0182] Step S208: Compare the parameter change rates of the cells in the fifth group in each historical time period to obtain the fifth parameter comparison result, wherein each fifth group includes one of the first abnormal cells.

[0183] Each first abnormal cell is grouped separately, hereinafter referred to as the fifth group for distinction; that is, each fifth group contains only one first abnormal cell. The parameter change rates of the cells in the fifth group are compared in various historical time periods to obtain parameter comparison results (hereinafter referred to as the fifth parameter comparison results for distinction). In other words, the parameter values ​​to be compared for the fifth group are parameter change rates. The specific implementation method for comparing the parameter change rates of the cells to obtain the fifth parameter comparison results can refer to the above embodiment, and will not be repeated here.

[0184] When the grouping abnormality level represented by the fifth parameter comparison result of the first abnormal cell is greater than a certain level, it indicates that the parameter change rate of the first abnormal cell in different historical periods is different, indicating that the possibility of abnormality is higher or the degree of abnormality is higher. Combining the fifth parameter comparison result can obtain a more accurate safety monitoring result of the first abnormal cell.

[0185] Furthermore, based on the first, second, and / or third embodiments described above, a fourth embodiment of the energy storage system safety monitoring method of the present invention is proposed. In this embodiment, step S10 includes:

[0186] Step S101: Obtain the original parameter values ​​at each moment obtained by monitoring each cell to be monitored according to a preset monitoring frequency during the operation of the energy storage system.

[0187] In this embodiment, at least one parameter value (hereinafter referred to as the original parameter value at each moment) of each monitored cell can be directly measured at a preset monitoring frequency during the operation of the energy storage system. These parameters include, for example, voltage, temperature, and current values ​​at each moment. The preset monitoring frequency can be set as needed and is not limited in this embodiment.

[0188] Step S102: Cluster the original time parameter values ​​of the same item of each of the monitored cells at the same time to obtain the time cluster center value corresponding to each original time parameter value, and subtract the corresponding time cluster center value from each original time parameter value to obtain the time normalization parameter value.

[0189] In other embodiments, the original parameter values ​​at time can be directly used as monitoring parameter information for subsequent comparisons.

[0190] In this embodiment, to save computing resources and improve the speed of security analysis, the original parameter values ​​at time can be normalized.

[0191] Specifically, the original parameter values ​​of each monitored cell at the same time for the same item can be clustered to obtain the time-based cluster center value corresponding to each original parameter value at each time. For example, when the original parameter values ​​of the monitored cells include temperature and voltage values, the temperature values ​​of each monitored cell at the same time can be clustered, dividing the temperature values ​​of each monitored cell at that time into multiple clusters, each cluster corresponding to a cluster center value. The cluster center value of the cluster to which the temperature value of the monitored cell at that time belongs is used as the time-based cluster center value corresponding to that temperature value. Voltage values ​​are also clustered in the same way.

[0192] The number of clusters can be set as needed, or it can be left unset. The number of clusters is determined based on the specific clustering performance of the original parameter values ​​at each time point in the clustering process. In this embodiment, no restriction is imposed.

[0193] The time-normalized parameter value is obtained by subtracting the corresponding time-time cluster center value from the original parameter value at each time. For example, the time-normalized temperature value of a battery cell at a certain time is obtained by subtracting the cluster center value obtained by clustering the temperature values ​​of all monitored battery cells at that time from the temperature value of a certain battery cell at a certain time.

[0194] Step S103: Calculate the parameter change rate based on the time-normalized parameter value of the battery cell under monitoring at each time point within a time period;

[0195] The parameter change rate of the monitored battery cell during a given time period can be calculated based on the time-normalized parameter values ​​at various times within that time period. Specifically, the parameter change rate can be calculated based on the same time-normalized parameter values ​​at various times within that time period; alternatively, a new parameter value can be calculated for the monitored battery cell at a given time based on several time-normalized parameter values ​​at the same time within that time period, and then the parameter change rate can be calculated based on this new parameter value at various times within that time period.

[0196] Step S104: Based on the time-normalized parameter value of the cell to be monitored at the time of safety analysis and the parameter change rate in each historical period before the time of safety analysis, obtain the monitoring parameter information of the cell to be monitored at the time of safety analysis.

[0197] Based on the time-normalized parameter value of the battery cell under monitoring at the time of safety analysis and the parameter change rate in each historical period before the time of safety analysis, the monitoring parameter information of the battery cell under monitoring at the time of safety analysis is obtained. Alternatively, the time-normalized parameter value of the battery cell under monitoring at the time of safety analysis can be directly used as the monitoring parameter value in the monitoring parameter information. Or, a new parameter value can be calculated from several time-normalized parameter values ​​of the battery cell under monitoring at the time of safety analysis, and then used as the monitoring parameter value in the monitoring parameter information. For example, the time-normalized power value of the battery cell under monitoring at the time of safety analysis can be obtained by multiplying the time-normalized voltage value and the time-normalized current value of the battery cell under monitoring at the time of safety analysis.

[0198] It should be noted that since the number of abnormal cells in an energy storage system is generally very small, the differences in the original time parameter values ​​of various cells at the same time are usually small. Therefore, after normalizing the original time parameter values ​​of each cell, the normalized time parameter value of most cells is likely to be 0 or close to 0, which can greatly reduce the amount of calculation in subsequent comparisons. In one embodiment, after subtracting the corresponding time cluster center value from the original time parameter value, it can be determined whether the result is within a certain range. If it is within the range, the time normalized time parameter value corresponding to the original time parameter value is set to 0 to further reduce the amount of calculation and improve the efficiency of safety analysis. This range can be set as needed so that when the difference between the original time parameter value and the corresponding time cluster center value is within the range, the difference between the original time parameter value and the time cluster center value is considered to be minimal, and setting the corresponding time normalized time parameter value to 0 will not have a significant impact on subsequent group comparisons.

[0199] Further, in one embodiment, step S103 includes:

[0200] Step S1031: Calculate the time-normalized power value of the battery cell under monitoring based on the time-normalized voltage value and the time-normalized current value of the battery cell under monitoring at the same time.

[0201] In this embodiment, the time-normalized parameter value may include at least a time-normalized electrical value, which includes at least a time-normalized voltage value and a time-normalized current value. The time-normalized power value of the monitored cell at any given time can be calculated based on its time-normalized voltage and current values. The charging and discharging states of the cell can be distinguished by the sign of the current, and the calculated time-normalized power value may be either a charging power value or a discharging power value. When comparing these values, the charging power value and the discharging power value can be considered as different monitoring parameter values.

[0202] Step S1032: Calculate the voltage change rate of the battery cell under monitoring during the corresponding time period based on the time-normalized voltage value of the battery cell under monitoring at each time point within a time period.

[0203] The voltage change rate of the monitored battery cell can be calculated based on the time-normalized voltage values ​​at various points within a time period. The voltage change rate of the monitored battery cell over multiple time periods can be calculated as needed.

[0204] Step S1033: Calculate the power change rate of the battery cell under monitoring in the corresponding time period based on the time-normalized power value of the battery cell under monitoring at each time point within a time period.

[0205] The power change rate of the monitored battery cell can be calculated based on the time-normalized power values ​​at various moments within a given time period. The power change rate can be calculated for multiple time periods as needed. Similarly, the power change rate can also include both the charging power change rate and the discharging power change rate.

[0206] Step S1034: Calculate the charge / discharge power difference within the hour segment based on the time-normalized power value of the cell under monitoring at each moment within the hour segment, and calculate the rate of change of the charge / discharge power difference of the cell under monitoring in the corresponding long period based on the charge / discharge power difference of each hour segment within a long period.

[0207] The charge / discharge power difference (charging power minus discharging power) within an hourly period is calculated based on the time-normalized power of the monitored battery cell at various moments. This means the monitored battery cell will be in both charging and discharging states within that hourly period. The rate of change of the charge / discharge power difference within a longer time period can be calculated from the charge / discharge power differences of the monitored battery cell over that longer time period. The rate of change of the charge / discharge power difference can be calculated for multiple time periods as needed. This rate of change reflects an increase in internal damage to the monitored battery cell. An increase in the rate of change indicates increased internal damage and potential internal anomalies. Therefore, combining the charge / discharge power difference with the assessment of the monitored battery cell's safety status can improve the accuracy of safety monitoring.

[0208] Furthermore, in one embodiment, the acquisition, analysis, and processing of monitoring parameter information can be achieved through a centralized control board within the energy storage system (or container). The centralized control board system architecture integrates information acquisition, information analysis and calculation, and system control into a single centralized control board. In another embodiment, such as... Figure 4 As shown, processing can also be based on multiple distributed independent control boards, and the processing results of each independent control board can be summarized and analyzed before system control is performed. In another embodiment, such as... Figure 5 and Figure 6 As shown, information collected within the energy storage system can also be sent to a remote cloud server for analysis and calculation (cloud servers have powerful computing capabilities), and the results can be sent to each energy storage system for control after analysis and processing.

[0209] Furthermore, this invention also proposes a safety monitoring device for an energy storage system, referring to... Figure 7 The energy storage system safety monitoring device includes:

[0210] The acquisition module 10 is used to acquire monitoring parameter information obtained by monitoring each cell to be monitored during the operation of the energy storage system.

[0211] The comparison module 20 is used to compare the monitoring parameter information of each cell in the same group according to a preset grouping rule to obtain a parameter comparison result.

[0212] The determination module 30 is used to determine the safety monitoring result of the battery cell to be monitored based on the parameter comparison result obtained by comparing the battery cell to be monitored in at least one group.

[0213] Furthermore, the monitoring parameter information includes at least one monitoring parameter value of the battery cell to be monitored. For any target group, the comparison module 20 is further used for:

[0214] For the comparison parameter value corresponding to the target group in each of the monitoring parameter values, calculate the center value of the comparison parameter value of the same item in each cell in the target group, and determine the normal parameter range corresponding to each of the comparison parameter values ​​based on the center value;

[0215] For any target cell in the target group, any one of the target parameter values ​​to be compared of the target cell is compared with the corresponding normal parameter range to obtain the range comparison result corresponding to the target parameter value. The range comparison result includes a result indicating whether the target parameter value exceeds the corresponding normal parameter range, and / or a result indicating the degree to which the target parameter value exceeds the corresponding normal parameter range.

[0216] Based on the range comparison results corresponding to the various comparison parameter values ​​of the target battery cell, the grouping anomaly level of the target battery cell is determined, and the grouping anomaly level is used as the parameter comparison result obtained by comparing the target battery cell in the target group.

[0217] Furthermore, when the comparison parameters of the target battery cell include electrical parameter values ​​and temperature parameter values, the determining module 30 is further configured to:

[0218] Based on the comparison results of the ranges corresponding to the electrical parameter values ​​of the target battery cell, the electrical anomaly level of the target battery cell is determined;

[0219] If the electrical anomaly level is greater than the first preset level, then the grouping anomaly level of the target battery cell is determined according to the electrical anomaly level and the temperature anomaly level of the target battery cell, wherein the temperature anomaly level is determined according to the range comparison result corresponding to the temperature parameter value of the target battery cell;

[0220] If the electrical anomaly level is less than or equal to the first preset level, then the grouping anomaly level of the target cell is determined according to the electrical anomaly level of the target cell.

[0221] Furthermore, before the operation of comparing the monitoring parameter information of each cell in the same group to obtain the parameter comparison result, the device further includes:

[0222] The grouping module is used to group cells in the same cell string into the same group; and / or to group cells in the same operating condition at the same time or during the same period into the same group, wherein the same operating condition is a condition in which one or more of the following operating parameters are the same: fan speed, charging / discharging state, power level and current magnitude.

[0223] Furthermore, the monitoring parameter information includes at least one time parameter value obtained by monitoring the cell under test at the time of safety analysis, and at least one parameter change rate obtained by monitoring at least one historical period before the time of safety analysis;

[0224] The comparison module 20 is also used for:

[0225] The time parameter values ​​of each first cell in the first group are compared to obtain the first parameter comparison result, wherein the first group is a group composed of cells under the same operating conditions at the time of the safety analysis.

[0226] The time parameter values ​​of each cell in the second group are compared to obtain the second parameter comparison result. The second group is a group composed of each cell to be monitored in the cell string where the first abnormal cell is located. The first abnormal cell is a cell whose group abnormality level represented by the first parameter comparison result is greater than the second preset level.

[0227] The parameter change rate of each cell in the third group is compared within the historical period corresponding to the third group to obtain the third parameter comparison result. The third group is a group composed of cells that are under the same operating conditions as the second abnormal cell in the same historical period. The second abnormal cell is a cell in the first abnormal cell whose group abnormality level represented by the second parameter comparison result is greater than the third preset level.

[0228] The parameter change rate of each cell in the fourth group is compared within the same historical period to obtain the fourth parameter comparison result. The fourth group is a group composed of each cell to be monitored in the cell string where the third abnormal cell is located. The third abnormal cell is a cell whose group abnormality level represented by the third parameter comparison result is greater than the fourth preset level among the second abnormal cells.

[0229] The parameter change rates of the cells in the fifth group are compared in each historical period to obtain the fifth parameter comparison result, wherein each fifth group includes one of the first abnormal cells.

[0230] Furthermore, the acquisition module 10 is also used for:

[0231] The original parameter values ​​at each moment are obtained by monitoring each cell to be monitored at a preset monitoring frequency during the operation of the energy storage system.

[0232] Cluster the original time parameter values ​​of the same item of each of the monitored cells at the same time to obtain the time cluster center value corresponding to each original time parameter value. Subtract the corresponding time cluster center value from each original time parameter value to obtain the time normalization parameter value.

[0233] The parameter change rate is calculated based on the time-normalized parameter value of the battery cell under monitoring at each time point within a time period;

[0234] Based on the time-normalized parameter value of the cell under test at the time of safety analysis and the rate of change of the parameter in each historical period before the time of safety analysis, the monitoring parameter information of the cell under test at the time of safety analysis is obtained.

[0235] Furthermore, the time-normalized parameter value includes at least a time-normalized electrical value, which includes at least a time-normalized voltage value and a time-normalized current value.

[0236] The acquisition module 10 is further configured to:

[0237] The time-normalized power value of the battery cell under monitoring is calculated based on the time-normalized voltage value and the time-normalized current value of the battery cell under monitoring at the same time.

[0238] The voltage change rate of the monitored battery cell during the corresponding time period is calculated based on the normalized voltage value of the monitored battery cell at each time point within a time period.

[0239] The power change rate of the monitored battery cell in the corresponding time period is calculated based on the normalized power value of the monitored battery cell at each time point within a time period.

[0240] The charging and discharging power difference within an hour is calculated based on the time-normalized power value of the battery cell under monitoring at each moment within an hour. The rate of change of the charging and discharging power difference of the battery cell under monitoring in the corresponding long period is calculated based on the charging and discharging power difference of each hour within a long period.

[0241] Furthermore, the determining module 10 is also used for:

[0242] Based on the anomaly level characterized by the parameter comparison results obtained by comparing the battery cell under monitoring in at least one group, the comprehensive anomaly level of the battery cell under monitoring is determined, and the comprehensive anomaly level is used as the safety monitoring result of the battery cell under monitoring.

[0243] Furthermore, following the device, it also includes:

[0244] An execution module is configured to execute anomaly handling measures corresponding to the safety monitoring results of the battery cell under monitoring when the safety monitoring results indicate that the battery cell under monitoring needs to be anomaly handled. The anomaly handling measures include outputting early warning prompts and / or disconnecting connections.

[0245] The extended content of the specific implementation of the energy storage system safety monitoring device of the present invention is basically the same as the various embodiments of the above-mentioned energy storage system safety monitoring method, and will not be repeated here.

[0246] Furthermore, this embodiment of the invention also proposes a computer-readable storage medium storing an energy storage system safety monitoring program, wherein when the energy storage system safety monitoring program is executed by a processor, it implements the steps of the energy storage system safety monitoring method described below.

[0247] The various embodiments of the energy storage system safety monitoring device and computer-readable storage medium of the present invention can all refer to the various embodiments of the energy storage system safety monitoring method of the present invention, and will not be repeated here.

[0248] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0249] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0250] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0251] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for safety monitoring of an energy storage system, characterized in that, The energy storage system safety monitoring method includes the following steps: Acquire monitoring parameter information obtained by monitoring each cell under test during the operation of the energy storage system; For each of the cells to be monitored that are grouped into the same group according to a preset grouping rule, the monitoring parameter information of each cell in the same group is compared to obtain the parameter comparison result. The safety monitoring result of the battery cell to be monitored is determined based on the parameter comparison results obtained by comparing the battery cell to be monitored in at least one group. The steps for obtaining monitoring parameter information obtained by monitoring each cell under test during the operation of the energy storage system include: The original parameter values ​​at each moment are obtained by monitoring each cell to be monitored at a preset monitoring frequency during the operation of the energy storage system. Cluster the original time parameter values ​​of the same item of each of the monitored cells at the same time to obtain the time cluster center value corresponding to each original time parameter value. Subtract the corresponding time cluster center value from each original time parameter value to obtain the time normalization parameter value. The parameter change rate is calculated based on the time-normalized parameter value of the battery cell under monitoring at each time point within a time period; Based on the time-normalized parameter value of the cell under test at the time of safety analysis and the rate of change of the parameter in each historical period before the time of safety analysis, the monitoring parameter information of the cell under test at the time of safety analysis is obtained. The time-normalized parameter value includes at least a time-normalized electrical value, and the time-normalized electrical value includes at least a time-normalized voltage value and a time-normalized current value; The step of calculating the parameter change rate based on the time-normalized parameter values ​​of the battery cell under monitoring at various times within a time period includes: The time-normalized power value of the battery cell under monitoring is calculated based on the time-normalized voltage value and the time-normalized current value of the battery cell under monitoring at the same time. The charging and discharging power difference within an hour is calculated based on the time-normalized power value of the battery cell under monitoring at each moment within an hour. The rate of change of the charging and discharging power difference of the battery cell under monitoring in the corresponding long period is calculated based on the charging and discharging power difference of each hour within a long period.

2. The energy storage system safety monitoring method of claim 1, wherein, The monitoring parameter information includes at least one monitoring parameter value of the battery cell to be monitored. The step of comparing the monitoring parameter information of each battery cell in any target group to obtain the parameter comparison result includes: For the comparison parameter value corresponding to the target group in each of the monitoring parameter values, calculate the center value of the comparison parameter value of the same item in each cell in the target group, and determine the normal parameter range corresponding to each of the comparison parameter values ​​based on the center value; For any target cell in the target group, any one of the target parameter values ​​to be compared of the target cell is compared with the corresponding normal parameter range to obtain the range comparison result corresponding to the target parameter value. The range comparison result includes a result indicating whether the target parameter value exceeds the corresponding normal parameter range, and / or a result indicating the degree to which the target parameter value exceeds the corresponding normal parameter range. Based on the range comparison results corresponding to the various comparison parameter values ​​of the target battery cell, the grouping anomaly level of the target battery cell is determined, and the grouping anomaly level is used as the parameter comparison result obtained by comparing the target battery cell in the target group.

3. The energy storage system safety monitoring method of claim 2, wherein, When the target battery cell's comparison parameter values ​​include electrical parameter values ​​and temperature parameter values, the step of determining the grouping anomaly level of the target battery cell based on the range comparison results corresponding to the comparison parameters of the target battery cell includes: Based on the comparison results of the ranges corresponding to the electrical parameter values ​​of the target battery cell, the electrical anomaly level of the target battery cell is determined; If the electrical anomaly level is greater than the first preset level, then the grouping anomaly level of the target battery cell is determined according to the electrical anomaly level and the temperature anomaly level of the target battery cell, wherein the temperature anomaly level is determined according to the range comparison result corresponding to the temperature parameter value of the target battery cell; If the electrical anomaly level is less than or equal to the first preset level, then the grouping anomaly level of the target cell is determined according to the electrical anomaly level of the target cell.

4. The energy storage system safety monitoring method as described in claim 1, characterized in that, Before the step of comparing the monitoring parameter information of each cell in the same group to obtain the parameter comparison result, the method further includes: Divide the cells in the same cell string within the monitored cells into the same group; and / or, Cells under the same operating conditions at the same time or during the same period are grouped into the same group. The same operating conditions are those where one or more operating parameters, such as fan speed, charging / discharging status, power level, and current level, are the same.

5. The energy storage system safety monitoring method as described in claim 1, characterized in that, The monitoring parameter information includes at least one time parameter value obtained by monitoring the cell under test at the time of safety analysis, and at least one parameter change rate obtained by monitoring at least one historical period before the time of safety analysis; The step of comparing the monitoring parameter information of each cell in the same group according to a preset grouping rule to obtain a parameter comparison result includes: The time parameter values ​​of each first cell in the first group are compared to obtain the first parameter comparison result, wherein the first group is a group composed of cells under the same operating conditions at the time of the safety analysis. The time parameter values ​​of each cell in the second group are compared to obtain the second parameter comparison result. The second group is a group composed of each cell to be monitored in the cell string where the first abnormal cell is located. The first abnormal cell is a cell whose group abnormality level represented by the first parameter comparison result is greater than the second preset level. The parameter change rate of each cell in the third group is compared within the historical period corresponding to the third group to obtain the third parameter comparison result. The third group is a group composed of cells that are under the same operating conditions as the second abnormal cell in the same historical period. The second abnormal cell is a cell in the first abnormal cell whose group abnormality level represented by the second parameter comparison result is greater than the third preset level. The parameter change rate of each cell in the fourth group is compared within the same historical period to obtain the fourth parameter comparison result. The fourth group is a group composed of each cell to be monitored in the cell string where the third abnormal cell is located. The third abnormal cell is a cell whose group abnormality level represented by the third parameter comparison result is greater than the fourth preset level among the second abnormal cells. The parameter change rates of the cells in the fifth group are compared in each historical period to obtain the fifth parameter comparison result, wherein each fifth group includes one of the first abnormal cells.

6. The energy storage system safety monitoring method of claim 1, wherein, The step of calculating the parameter change rate based on the time-normalized parameter values ​​of the battery cell under monitoring at various times within a time period further includes: The voltage change rate of the monitored battery cell during the corresponding time period is calculated based on the normalized voltage value of the monitored battery cell at each time point within a time period. The power change rate of the monitored battery cell during the corresponding time period is calculated based on the time-normalized power value of the monitored battery cell at each time point within a time period.

7. The energy storage system safety monitoring method of claim 1, wherein, The step of determining the safety monitoring result of the battery cell to be monitored based on the parameter comparison result obtained by comparing the battery cell in at least one group includes: Based on the anomaly level characterized by the parameter comparison results obtained by comparing the battery cell under monitoring in at least one group, the comprehensive anomaly level of the battery cell under monitoring is determined, and the comprehensive anomaly level is used as the safety monitoring result of the battery cell under monitoring.

8. The energy storage system safety monitoring method of any one of claims 1 to 7, wherein, After determining the safety monitoring result of the battery cell under monitoring based on the parameter comparison result obtained by comparing the battery cell under monitoring in at least one group, the method further includes: When the safety monitoring result of the battery cell under monitoring indicates that abnormal handling is required for the battery cell under monitoring, abnormal handling measures corresponding to the safety monitoring result of the battery cell under monitoring are executed, wherein the abnormal handling measures include outputting early warning prompts and / or disconnecting connections.

9. An energy storage system safety monitoring apparatus, comprising: The energy storage system safety monitoring device includes: The acquisition module is used to acquire monitoring parameter information obtained by monitoring each cell to be monitored during the operation of the energy storage system; The comparison module is used to compare the monitoring parameter information of each cell in the same group according to a preset grouping rule to obtain a parameter comparison result. The determination module is used to determine the safety monitoring result of the battery cell under monitoring based on the parameter comparison result obtained by comparing the battery cell under monitoring in at least one group; The acquisition module is also used for: The original parameter values ​​at each moment are obtained by monitoring each cell to be monitored at a preset monitoring frequency during the operation of the energy storage system. Cluster the original time parameter values ​​of the same item of each of the monitored cells at the same time to obtain the time cluster center value corresponding to each original time parameter value. Subtract the corresponding time cluster center value from each original time parameter value to obtain the time normalization parameter value. The parameter change rate is calculated based on the time-normalized parameter value of the battery cell under monitoring at each time point within a time period; Based on the time-normalized parameter value of the cell under test at the time of safety analysis and the rate of change of the parameter in each historical period before the time of safety analysis, the monitoring parameter information of the cell under test at the time of safety analysis is obtained. The time-normalized parameter value includes at least a time-normalized electrical value, and the time-normalized electrical value includes at least a time-normalized voltage value and a time-normalized current value; The acquisition module is also used for: The time-normalized power value of the battery cell under monitoring is calculated based on the time-normalized voltage value and the time-normalized current value of the battery cell under monitoring at the same time. The charging and discharging power difference within an hour is calculated based on the time-normalized power value of the battery cell under monitoring at each moment within an hour. The rate of change of the charging and discharging power difference of the battery cell under monitoring in the corresponding long period is calculated based on the charging and discharging power difference of each hour within a long period.

10. An energy storage system safety monitoring apparatus, comprising: The energy storage system safety monitoring device includes: a memory, a processor, and an energy storage system safety monitoring program stored in the memory and executable on the processor. When the energy storage system safety monitoring program is executed by the processor, it implements the steps of the energy storage system safety monitoring method as described in any one of claims 1 to 9.

11. A computer readable storage medium, characterized in that, The computer-readable storage medium stores an energy storage system safety monitoring program, which, when executed by a processor, implements the steps of the energy storage system safety monitoring method as described in any one of claims 1 to 9.

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