Safety assessment methods, systems, energy storage devices, and energy storage sites for energy storage batteries

Abstract

This invention discloses a method, system, energy storage device, and energy storage site for safety assessment of energy storage batteries in energy storage sites. The method includes determining the type and geographical area of ​​the energy storage battery to be tested; selecting multiple energy storage batteries from at least one energy storage device within the same geographical area as a reference energy storage battery pack; selecting the test conductivity process variable Vt of the energy storage battery to be tested; and obtaining the energy storage battery under test over a preset time period T. pst Within the test conductivity process data Dt; corresponding to the test conductivity process variable Vt, select the reference conductivity process variable Vr, and obtain the data of each energy storage cell in the reference energy storage battery pack within the preset time period T. pst The invention obtains reference conductivity process data Dr; a benchmark value S is obtained based on the correspondence between the reference conductivity process data Dr and time, using the reference conductivity process variable Vr; and safety assessment information for the energy storage battery under test is obtained based on the benchmark value S. This invention can accurately assess the safety of energy storage batteries and ensure their safety during use.

Description

Technical Field

[0001] This invention relates to the field of energy storage battery evaluation technology, and more specifically, to an energy storage battery safety evaluation method, system, energy storage equipment, and energy storage site. Background Technology

[0002] Energy storage batteries used in energy storage stations (such as residential energy storage facilities, commercial energy storage facilities, and energy storage stations specifically for charging electric vehicles) consist of multiple individual battery cells. They store electrical energy from the power grid or renewable energy networks (such as photovoltaics) and deliver this stored energy to electrical devices at appropriate times (such as peak grid electricity demand). Types include cascaded energy storage batteries and dedicated energy storage batteries. The former refers to the degraded use of batteries, where the battery has degraded after a period of use (such as as a power battery in an electric vehicle). The degraded battery is insufficient to meet the current application requirements of the device (such as an electric vehicle), but it still has some remaining capacity to meet the needs of the device (such as charging an electric vehicle while it waits for a charging station). The latter refers to new batteries specifically designed for energy storage stations from the outset.

[0003] Since safety is the most prominent issue in the practical application of energy storage batteries, safety assessments are necessary during their use in energy storage stations to promptly implement safety measures for any malfunctions. Existing energy storage battery safety assessment methods often involve comparing real-time collected battery variables (such as battery temperature) with preset safety thresholds to determine if the battery is malfunctioning. These safety thresholds are typically obtained under experimental testing conditions.

[0004] However, the thresholds obtained under test environments remain fixed for a period of time and do not fully consider changes in the actual environment and the performance of energy storage batteries. Therefore, existing energy storage battery safety assessment methods often lead to misjudgments in practical applications, especially when safety thresholds are not updated in a timely manner, posing certain safety risks. In particular, for applications involving tiered energy storage batteries, there are greater demands in terms of consistency, safety, and reverse source tracking.

[0005] In view of this, it is necessary to design a method, system, energy storage equipment and energy storage site for energy storage battery safety assessment in order to accurately assess the safety of energy storage batteries. Summary of the Invention

[0006] The purpose of this invention is to provide a method, system, energy storage device, and energy storage site for safety assessment of energy storage batteries, so as to solve the problem that the safety of energy storage batteries cannot be accurately assessed in the prior art, thereby ensuring the safety of energy storage batteries in energy storage sites during use.

[0007] To achieve the above objectives, the present invention provides a method for safety assessment of energy storage batteries for energy storage stations, comprising the following steps:

[0008] Determine the type and geographical area of ​​the energy storage battery to be tested;

[0009] Select multiple energy storage batteries from at least one energy storage device within the same area as a reference energy storage battery pack.

[0010] Select the conductance process variable Vt of the energy storage battery under test, and obtain the energy storage battery under test within a preset time period T. pst The test conductivity process data Dt is the conductivity process data of the test conductivity process variable Vt in the test energy storage battery.

[0011] Corresponding to the measured conduction process variable Vt, a reference conduction process variable Vr is selected, and the time interval T for each energy storage cell in the reference energy storage battery pack is obtained. pst The reference conductivity process data Dr is the conductivity process data of the reference conductivity process variable Vr in the reference energy storage battery pack.

[0012] The reference value S is obtained based on the correspondence between the reference conductivity process data Dr and time, which is a comparison value obtained from all reference conductivity process data Dr in the reference energy storage battery pack at the same time.

[0013] The safety assessment information of the energy storage battery under test is obtained based on the benchmark value S. The safety assessment information is used to characterize the health status of the energy storage battery under test at the same time.

[0014] By adopting the technical solution disclosed in this invention, the safety issues of energy storage batteries can be assessed in a timely and accurate manner, enabling early risk warning and timely detection of problems in the energy storage safety management process.

[0015] In one embodiment of the above-mentioned method for safety assessment of energy storage batteries for energy storage stations, it is further included to identify whether the energy storage battery under test is abnormal based on the safety assessment information. If the safety assessment information is less than a preset parameter threshold, or is close to being less than a preset parameter threshold, then it is determined that the energy storage battery under test is abnormal.

[0016] In one embodiment of the above-described method for safety assessment of energy storage batteries for energy storage sites, obtaining the safety assessment information of the energy storage battery under test based on the benchmark value S further includes obtaining a deviation score using a deviation calculation method. dev The safety assessment information includes a deviation score. devDeviation score dev It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with the reference value S.

[0017] In one embodiment of the above-mentioned method for safety assessment of energy storage batteries for energy storage stations, obtaining a benchmark value S based on the correspondence between reference conductivity process data Dr and time for the reference conductivity process variable Vr further includes obtaining multiple benchmark values ​​S based on the correspondence between reference conductivity process data Dr and time for the reference conductivity process variable Vr, wherein each benchmark value S is a comparison value obtained based on all similar reference conductivity process data Dr in the reference energy storage battery pack at the same time.

[0018] In one embodiment of the above-described method for safety assessment of energy storage batteries for energy storage sites, obtaining the safety assessment information of the energy storage battery under test based on the benchmark value S further includes obtaining the safety assessment information of the energy storage battery under test within a preset time period T based on multiple benchmark values ​​S. pst Multiple safety assessment information within the system are used to characterize the health status of the energy storage battery under test at the same time.

[0019] In one embodiment of the above-described method for safety assessment of energy storage batteries for energy storage stations, the method further includes obtaining comprehensive safety assessment information based on multiple safety assessment information. This comprehensive safety assessment information is used to characterize the energy storage battery under test within a preset time period T. pst Internal health status.

[0020] In one embodiment of the above-mentioned method for safety assessment of energy storage batteries for energy storage stations, it is further included to identify whether the energy storage battery under test is abnormal based on the comprehensive safety assessment information. If the comprehensive safety assessment information is less than a preset parameter threshold, or is close to being less than a preset parameter threshold, then it is determined that the energy storage battery under test is abnormal.

[0021] In one embodiment of the above-described method for safety assessment of energy storage batteries in energy storage stations, the energy storage battery under test is obtained within a preset time period T based on multiple benchmark values ​​S. pst The multiple safety assessment information further includes multiple deviation scores obtained using a deviation calculation method. dev，i This includes multiple security assessment information, such as multiple deviation scores. dev，i Each deviation score dev，i It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with each reference value S, where i is an integer greater than 1.

[0022] In one embodiment of the above-described method for safety assessment of energy storage batteries for energy storage sites, obtaining comprehensive safety assessment information based on multiple safety assessment information further includes obtaining a comprehensive safety score using a weighted average method or a mean method. std Comprehensive security assessment information includes a comprehensive security score. std Overall security score std It is based on the preset time period T pst All multiple deviation scores within dev，i Obtained.

[0023] In one embodiment of the above-mentioned safety assessment method for energy storage batteries used in energy storage sites, a comprehensive safety score is obtained using a weighted average method or a mean method. std Further, this includes obtaining all deviation scores. dev，i The sequence is calculated and a weighted average is taken to obtain the overall security score. std The formula is score std =sum(m / len*score) dev，i ) / sum(m / len), 1≤m≤len, where sum is the summation formula and len is the score for all deviations. dev，i The sequence length is an integer, and m is an integer; or, obtain all deviation scores. dev，i The sequence is averaged to obtain the overall security score. std The formula is score std =avg(score) dev，1 score dev，2 ,...,score dev，i ), where avg is the formula for calculating the average.

[0024] In one embodiment of the above-mentioned safety assessment method for energy storage batteries in energy storage stations, the method further includes obtaining final safety assessment information based on multiple comprehensive safety assessment information, wherein the multiple comprehensive safety assessment information is comprehensive safety assessment information under different conduction processes.

[0025] In one embodiment of the above-mentioned method for safety assessment of energy storage batteries for energy storage stations, it is further included to identify whether the energy storage battery under test is abnormal based on the final safety assessment information. If the final safety assessment information is less than a preset parameter threshold, or shows a value close to a preset parameter threshold, then it is determined that the energy storage battery under test is abnormal.

[0026] In one embodiment of the above-mentioned method for safety assessment of energy storage batteries for energy storage sites, the conductivity process variable further includes one or more of primary variables, secondary variables characterizing the trend of change of primary variables, and other variables; and the conductivity process data further includes data generated during the charging process, the discharging process, and / or the quiescent state.

[0027] In one embodiment of the above-mentioned method for safety assessment of energy storage batteries for energy storage sites, the type of energy storage battery includes battery type and / or battery model, wherein the battery type includes any one of cascaded energy storage battery pack, dedicated energy storage battery pack, energy storage battery cell in cascaded energy storage battery pack, and energy storage battery cell in dedicated energy storage battery pack.

[0028] In one embodiment of the above-described method for safety assessment of energy storage batteries in energy storage sites, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same city where the energy storage battery under test is located; or, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located; or, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located.

[0029] In one embodiment of the above-described method for safety assessment of energy storage batteries in energy storage sites, obtaining the test conductivity data Dt and / or reference conductivity data Dr further includes: obtaining data within a preset time period T. pst Multiple orders; obtain conductive process data from each order.

[0030] To better achieve the objectives of the invention, the present invention also provides a safety assessment system for energy storage batteries in energy storage stations, comprising:

[0031] The first selection module is used to determine the type and geographical area of ​​the energy storage battery under test.

[0032] The second selection module is used to select multiple energy storage batteries in at least one energy storage device within the same area as a reference energy storage battery pack.

[0033] The first processing module is used to select the conductance process variable Vt of the energy storage battery under test and obtain the energy storage battery under test within a preset time period T. pst The test conductivity process data Dt is the conductivity process data of the test conductivity process variable Vt in the test energy storage battery.

[0034] The second processing module is used to select a reference conductivity process variable Vr corresponding to the conductivity process variable Vt to be measured, and to obtain the time period T for each energy storage cell in the reference energy storage battery pack. pst The reference conductivity process data Dr is the conductivity process data of the reference conductivity process variable Vr in the reference energy storage battery pack.

[0035] The first determining module is used to obtain a reference value S based on the correspondence between the reference conduction process data Dr and time, which is the reference conduction process variable Vr. The reference value S is a comparison value obtained based on all reference conduction process data Dr in the reference energy storage battery pack at the same time.

[0036] The second determining module is used to obtain the safety assessment information of the energy storage battery under test based on the benchmark value S, wherein the safety assessment information is used to characterize the health status of the energy storage battery under test at the same time.

[0037] The aforementioned energy storage battery safety assessment system for energy storage stations also includes a first state identification module, which is used to identify energy storage batteries that are abnormal. If the safety assessment information is less than a preset parameter threshold, or if it is close to being less than a preset parameter threshold, then the energy storage battery under test is determined to be abnormal.

[0038] The aforementioned energy storage battery safety assessment system for energy storage stations, in its second determination module, further includes obtaining a deviation score using a deviation calculation method after obtaining the safety assessment information of the energy storage battery under test based on a benchmark value S. dev The safety assessment information includes a deviation score. dev Deviation score dev It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with the reference value S.

[0039] The aforementioned energy storage battery safety assessment system for energy storage stations, the first determining module is also used to obtain multiple benchmark values ​​S based on the correspondence between the reference conductivity process data Dr of the reference conductivity process variable Vr and time, wherein each benchmark value S is a comparison value obtained based on all similar reference conductivity process data Dr in the reference energy storage battery pack at the same time.

[0040] The aforementioned energy storage battery safety assessment system for energy storage stations, in its second determining module, is further configured to obtain the energy storage battery under test within a preset time period T based on multiple benchmark values ​​S. pst Multiple safety assessment information within the system are used to characterize the health status of the energy storage battery under test at the same time.

[0041] The aforementioned energy storage battery safety assessment system for energy storage sites further includes: a third determining module, used to obtain comprehensive safety assessment information based on multiple safety assessment information, wherein the comprehensive safety assessment information is used to characterize the energy storage battery under test within a preset time period T. pst Internal health status.

[0042] The aforementioned energy storage battery safety assessment system for energy storage stations also includes: a second state identification module, used to identify abnormal energy storage batteries. If the comprehensive safety assessment information is less than a preset parameter threshold, or approaches a preset parameter threshold, then the energy storage battery under test is determined to be abnormal.

[0043] The aforementioned energy storage battery safety assessment system for energy storage stations, in its second determination module, obtains the energy storage battery under test within a preset time period T based on multiple benchmark values ​​S. pst The multiple safety assessment information further includes multiple deviation scores obtained using a deviation calculation method. dev，i This includes multiple safety assessment information, such as multiple deviation scores. dev，i Each deviation score dev，i It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with each reference value S, where i is an integer greater than 1.

[0044] The aforementioned energy storage battery safety assessment system for energy storage sites, in its third determination module, further includes obtaining a comprehensive safety assessment score by using a weighted average method or a mean method to obtain comprehensive safety assessment information based on multiple safety assessment information. std Comprehensive security assessment information includes a comprehensive security score. std Overall security score std It is based on the preset time period T pst All multiple deviation scores within dev，i Obtained.

[0045] The aforementioned energy storage battery safety assessment system for energy storage stations uses a weighted average method or a mean method to obtain a comprehensive safety score. std Further, this includes obtaining all multiple deviation scores. dev，i The sequence is calculated and a weighted average is taken to obtain the overall security score. std The formula is score std =sum(m / len*score) dev，i ) / sum(m / len), 1≤m≤len, where sum is the summation formula and len is the total number of deviation scores. dev，iThe length of the sequence is an integer, and m is an integer; or, obtain all multiple deviation scores. dev，i The sequence is averaged to obtain the overall security score. std The formula is score std =avg(score) dev，1 score dev，2 ,...,score dev，i ), where avg is the formula for calculating the average.

[0046] The aforementioned energy storage battery safety assessment system for energy storage stations, in its third determining module, is also used to obtain final safety assessment information based on multiple comprehensive safety assessment information, which refers to comprehensive safety assessment information under different conduction processes.

[0047] The aforementioned energy storage battery safety assessment system for energy storage stations also includes a third state identification module, which is used to identify energy storage batteries that are abnormal. If the final safety assessment information is less than a preset parameter threshold, or if it approaches a preset parameter threshold, then the energy storage battery under test is determined to be abnormal.

[0048] The aforementioned energy storage battery safety assessment system for energy storage stations further includes one or more of the following as the conductivity process variables: primary variables, secondary variables characterizing the trend of change of primary variables, and other variables; and the conductivity process data further includes data generated during the charging process, the discharging process, and / or the quiescent state.

[0049] The aforementioned energy storage battery safety assessment system for energy storage stations includes battery types and / or battery models. The battery types include any one of the following: cascaded energy storage battery packs, dedicated energy storage battery packs, individual energy storage battery cells within cascaded energy storage battery packs, and individual energy storage battery cells within dedicated energy storage battery packs.

[0050] In the aforementioned energy storage battery safety assessment system for energy storage sites, in the second selection module, the reference energy storage battery pack is multiple energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same city where the energy storage battery under test is located; or, the reference energy storage battery pack is multiple energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located; or, the reference energy storage battery pack is multiple energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located.

[0051] The aforementioned energy storage battery safety assessment system for energy storage stations, in acquiring the test conduction process data Dt and / or reference conduction process data Dr, further includes: acquiring the data within a preset time period T. pstMultiple orders; obtain conductive process data from each order.

[0052] The aforementioned energy storage battery safety assessment system for energy storage sites also includes a data acquisition module, a data interaction module, a data processing module, and / or an energy storage battery database; wherein,

[0053] The data acquisition module is used to collect the conductivity process variables and conductivity process data of the energy storage batteries in the energy storage station, and upload them to the energy storage battery database through the data interaction module in a periodic or real-time transmission manner.

[0054] Energy storage battery database, used to store conduction process variables and conduction process data of multiple energy storage stations;

[0055] The data processing module is used to analyze the data in the energy storage battery database to determine preset parameter thresholds.

[0056] To better achieve the objectives of the invention, the present invention also provides a computer-readable storage medium having a computer program stored thereon, the computer program being configured to run the above-described energy storage battery safety assessment method.

[0057] To better achieve the objectives of the invention, the present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the above-described energy storage battery safety assessment method.

[0058] To better achieve the objectives of the invention, the present invention also provides a safety display terminal for energy storage batteries in energy storage stations, comprising:

[0059] Memory, used to store computer programs;

[0060] A processor is used to run a computer program to perform the following steps: execute the above-described energy storage battery safety assessment method to obtain the health status of the energy storage battery;

[0061] The receiving module is used to receive health status information;

[0062] The output module is used to output the health status to a display screen;

[0063] The display screen is used to show health status.

[0064] To better achieve the purpose of the invention, the present invention also provides an energy storage device for an energy storage station, which is equipped with or connected to a network with the above-mentioned energy storage battery safety assessment system.

[0065] The present invention also provides an energy storage station, which is equipped with one or more of the above-mentioned energy storage devices.

[0066] In addition, the benchmark value used in this invention is obtained by analyzing the conductivity process data of a reference energy storage battery pack within the same area. It is a dynamic benchmark value that characterizes the actual state of the energy storage battery within the same area. It takes into account the influence of the actual environment on the performance of the energy storage battery, and is more realistic and accurate than the fixed benchmark value obtained under the test experimental environment, which further improves the accuracy of the safety assessment of the energy storage battery.

[0067] Of course, the energy storage battery safety assessment system, medium, electronic device, safety display terminal, energy storage equipment, and energy storage station provided by this invention have the same beneficial technical effects as the methods described above.

[0068] To provide a better understanding of the above and other aspects of the present invention, specific embodiments are described below in conjunction with the accompanying drawings, but these are not intended to limit the scope of protection of the present invention. Attached Figure Description

[0069] Figure 1 This is a schematic diagram illustrating one application scenario of the present invention.

[0070] Figure 2 This is a flowchart illustrating the steps of the energy storage battery safety assessment method according to the first embodiment of the present invention.

[0071] Figure 3 This is a flowchart of some steps in the energy storage battery safety assessment method according to the second embodiment of the present invention.

[0072] Figure 4 This is a flowchart of some steps in the energy storage battery safety assessment method according to the third embodiment of the present invention.

[0073] Figure 5 This is a complete flowchart of the energy storage battery safety assessment method according to the third embodiment of the present invention.

[0074] Figure 6 This is a data table showing the comprehensive safety score of the energy storage battery under test obtained by the energy storage battery safety assessment method according to the third embodiment of the present invention.

[0075] Figure 7 This is a structural block diagram of an energy storage battery safety assessment system for an energy storage station according to a fourth embodiment of the present invention.

[0076] Figure 8 This is a structural block diagram of an energy storage battery safety assessment system for energy storage stations according to a fifth embodiment of the present invention.

[0077] Figure 9 This is a structural block diagram of the energy storage battery safety display terminal according to the eighth embodiment of the present invention.

[0078] Figure 10This is a schematic diagram of an energy storage device according to the ninth embodiment of the present invention.

[0079] Figure 11 This is a schematic diagram of an energy storage device according to the tenth embodiment of the present invention.

[0080] In the attached figures, the following labels are used:

[0081] 1-Energy Storage Station

[0082] 2, 3, 4, 5 - Energy Storage Equipment

[0083] S10~S17, S16', S17' - Steps in the embodiments of the energy storage battery safety assessment method

[0084] Vt - Variable in the conductivity process to be measured

[0085] Dt - Data on the conductivity process under test

[0086] Vr - Reference conductivity process variable

[0087] Dr-reference conductivity process data

[0088] S-Baseline Value

[0089] T pst -Preset time period

[0090] 6-Energy Storage Battery Safety Assessment System

[0091] 60 - First Choice Module

[0092] 61-Second Selection Module

[0093] 62-First Processing Module

[0094] 63-Second Processing Module

[0095] 64-First Determined Module

[0096] 65-Second Determination Module

[0097] 66-First Identification Module

[0098] 67-Third Determination Module

[0099] 68-Second State Recognition Module

[0100] 69-Third State Recognition Module

[0101] 7, 8 - Energy Storage Battery Safety Assessment System

[0102] 71, 81 - Data Acquisition Module

[0103] 72, 82 - Data Interaction Module

[0104] 73, 83 - Data Processing Module

[0105] DB - Energy Storage Battery Database

[0106] 9-Energy Storage Battery Safety Display Terminal

[0107] 91-Memory

[0108] 92-processor

[0109] 93-Receiver Module

[0110] 94-Output Module

[0111] 95-Display screen

[0112] 10, 10'- Energy Storage Equipment

[0113] 101, 101' - Energy Storage Battery Safety Assessment System Detailed Implementation

[0114] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments to further understand the purpose, solution and beneficial technical effects of the present invention, but this is not intended to limit the scope of protection of the appended claims. It should be noted that in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, 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. Without further limitations, 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 said element.

[0115] The core of this invention is to provide a method, system, energy storage equipment, and energy storage site for safety assessment of energy storage batteries, which can assess the safety issues of energy storage batteries in a timely and accurate manner, enabling early risk warning and timely detection of problems in the energy storage safety management process.

[0116] An application scenario of the energy storage battery safety assessment method, system, energy storage device, and energy storage station of the present invention is as follows: Figure 1 As shown. Energy storage station 1 includes multiple energy storage devices 2, 3, 4, and 5. Each energy storage device includes multiple energy storage batteries, and the energy storage battery under test is one or more of these batteries. The energy storage devices are used to charge electrical equipment. It should be noted that... Figure 1This is merely one specific application scenario, and the present invention is not limited thereto.

[0117] Please see Figure 2 , Figure 2 This is a flowchart illustrating the steps of the energy storage battery safety assessment method according to the first embodiment of the present invention, specifically including the following steps:

[0118] S10: Determine the type and location of the energy storage battery to be tested.

[0119] The geographical scope of this invention includes cities or energy storage sites, wherein the city includes at least one energy storage site. An energy storage site refers to a residential energy storage facility for charging electrical equipment, a commercial energy storage facility, or an energy storage station specifically for charging electric vehicles. The energy storage battery is a fixed energy storage battery within the energy storage site for a certain period of time. The type of energy storage battery includes battery type and / or battery model. The battery type further includes cascaded energy storage battery packs, dedicated energy storage battery packs, and individual battery cells within the aforementioned battery packs. Therefore, the technical solution of this invention has a broad coverage and is not limited by the type of energy storage battery.

[0120] S11: Select multiple energy storage batteries from at least one energy storage device within the same area as a reference energy storage battery pack.

[0121] In a preferred embodiment, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same city where the energy storage battery under test is located.

[0122] In this embodiment of the invention, the same city provides the energy storage batteries with essentially the same operating environment, such as essentially the same temperature, air pressure, and air humidity. Simultaneously, energy storage batteries of the same model are selected as reference energy storage battery packs, ensuring they have essentially the same performance parameters as the energy storage battery under test, thereby improving the accuracy of the safety assessment.

[0123] In a preferred embodiment, the reference energy storage battery pack is a plurality of energy storage batteries in at least one energy storage device within the same energy storage site where the energy storage battery under test is located.

[0124] In this embodiment of the invention, the energy storage batteries within the same energy storage site operate under essentially the same environment, such as charging and discharging conditions and operating conditions. Therefore, selecting energy storage batteries within the same energy storage site as a reference battery pack for analysis can improve the accuracy of safety assessment. Furthermore, by limiting the analysis to the same operating environment, it avoids being overly restricted to analyzing the specific battery model; that is, it is not necessary to confirm or obtain the battery model. This ensures sufficient accuracy even when analyzing different battery models using the safety assessment method of this invention within the same energy storage site.

[0125] In a preferred embodiment, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located.

[0126] In this embodiment of the invention, by limiting the same usage environment and the same battery model, a more accurate safety assessment is achieved.

[0127] The reference energy storage battery pack in this embodiment may or may not include the energy storage battery under test, and the present invention is not limited thereto.

[0128] S12: Select the test conductivity process variable Vt of the energy storage battery under test, and obtain the energy storage battery under test within a preset time period T. pst The test conductivity process data Dt is the conductivity process data of the test energy storage battery, where the test conductivity process variable Vt is the conductivity process variable of the test energy storage battery, and the test conductivity process data Dt is the conductivity process data of the test conductivity process variable Vt.

[0129] In a preferred embodiment, the conductivity process variables include one or more of primary variables, secondary variables characterizing the trend of the primary variables, and other variables. Primary variables include directly transmitted parameters explicitly stated in the messaging protocol between the energy storage site and the Battery Management System (BMS), such as the highest temperature of the energy storage battery, the lowest temperature of the energy storage battery, and the SOC (State of Charge) of the energy storage battery. Secondary variables include the temperature difference of the energy storage battery, the maximum temperature difference of the energy storage battery, the temperature rise or rate of temperature rise of the energy storage battery, the maximum rate of temperature rise of the energy storage battery, the voltage difference of the energy storage battery, the SOC rate of the energy storage battery, and the maximum SOC change rate of the energy storage battery, wherein:

[0130] (1) Temperature difference of energy storage battery: the highest temperature of energy storage battery minus the lowest temperature within the same time period;

[0131] (2) Maximum temperature difference of energy storage battery: The maximum temperature difference of energy storage battery during one charge (discharge) process;

[0132] (3) Temperature rise or temperature rise rate of energy storage battery: The increase in the highest temperature of energy storage battery per unit time (e.g., per minute), that is, the difference between the highest temperature of the energy storage battery at the current time (e.g., the current minute) and the highest temperature at the previous time (e.g., the previous minute) during a charging (discharging) process.

[0133] (4) Maximum temperature rise rate of energy storage battery: The maximum temperature rise of energy storage battery during one charge (discharge) process;

[0134] (5) Voltage difference of energy storage battery: The difference between the highest voltage and the lowest voltage of a single cell of energy storage battery at the same moment during the charging (discharging) process;

[0135] (6) SOC rate of energy storage battery: the change in SOC of energy storage battery per unit time (per minute);

[0136] (7) Maximum SOC change rate of the energy storage battery: The maximum SOC rate of the energy storage battery during a single charge (discharge) cycle. Other variables include the capacity and internal resistance of the energy storage battery.

[0137] In a preferred embodiment, the conductivity process data includes data generated by the energy storage battery during the charging process, discharging process, and / or static state, and the conductivity process data can also be data of multiple orders of the energy storage battery within a preset time period Tpst.

[0138] The conductivity process variables in this invention can be selected based on the specific conditions of the energy storage batteries in the energy storage station. If the operating environment and conditions of the energy storage batteries are good, the highest temperature, lowest temperature, and SOC (State of Charge) can be directly obtained for safety assessment. If a more accurate assessment of the energy storage batteries is required, secondary variables obtained from primary variables can be selected to better determine the changing trend of the energy storage battery's safety status. This invention can perform safety assessments based on multiple conductivity process variables, does not limit the type of energy storage battery, has strong applicability, and high accuracy.

[0139] Furthermore, embodiments of the present invention can assess the safety of energy storage batteries during charging, discharging, and / or in a static state, and include conductivity process data from multiple orders, providing a sufficient data sample size to make the safety assessment results more accurate.

[0140] S13: Select the reference conductivity process variable Vr corresponding to the conductivity process variable Vt to be measured, and obtain the time T of each energy storage cell in the reference energy storage battery pack. pst The reference conductivity process data Dr is the conductivity process data of the reference conductivity process variable Vr in the reference energy storage battery pack.

[0141] Correspondingly, the conductivity process variables and conductivity process data in the energy storage battery pack are the same as those described in step S12, and will not be repeated here.

[0142] S14: A reference value S is obtained based on the correspondence between the reference conductivity process data Dr and time, which is the reference conductivity process variable Vr. The reference value S is a comparison value obtained from all reference conductivity process data Dr in the reference energy storage battery pack at the same time. The reference value S can be obtained by calculating the average, the highest value, or the lowest value, and this invention is not limited to this.

[0143] In this embodiment of the invention, the reference value S is obtained based on actual data from a reference energy storage battery pack within the same area. Unlike the fixed safety threshold obtained under test conditions, the reference value S can more accurately reflect the state of the energy storage batteries in the energy storage site. Furthermore, a time-corresponding reference value S can be obtained for each time period; that is, the reference value S is dynamically changing, which better reflects the changing trend of the energy storage battery state.

[0144] S15: Obtain the safety assessment information of the energy storage battery under test based on the benchmark value S. The safety assessment information is used to characterize the health status of the energy storage battery under test at the same time.

[0145] S16: Identify whether the energy storage battery under test is abnormal based on the safety assessment information. If the safety assessment information is less than a preset parameter threshold, or is close to being less than a preset parameter threshold, then it is determined that the energy storage battery under test is abnormal.

[0146] As a preferred embodiment, obtaining the safety assessment information of the energy storage battery under test based on the reference value S further includes:

[0147] The deviation score is obtained using the deviation calculation method. dev The safety assessment information includes a deviation score. dev Deviation score dev It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with the reference value S.

[0148] In one specific embodiment, an energy storage station includes four energy storage devices, each including four identical energy storage batteries. One energy storage battery from one of the energy storage devices is selected as the energy storage battery to be tested, while all four energy storage batteries in that device are selected as the reference energy storage battery pack. The highest temperature of the energy storage battery under test during discharge is obtained as the conductivity process variable Vt, and the highest temperature data of the energy storage battery under test during discharge is obtained as the conductivity process data Dt. Correspondingly, the highest temperature of the reference energy storage battery pack during discharge is obtained as the reference conductivity process variable Vr, and the highest temperature data of the reference energy storage battery pack during discharge is obtained as the reference conductivity process data Dr, as shown in Table 1.

[0149]

[0150] According to the table above, at time t1, the highest temperature of energy storage battery 1 is 24℃, the highest temperature of energy storage battery 2 is 25℃, the highest temperature of energy storage battery 3 is 25℃, and the highest temperature of energy storage battery 4 (the energy storage battery under test) is 24℃. By averaging the highest temperatures of the four batteries, a baseline value S of 24.5℃ can be obtained. Based on this baseline value S, safety assessment information for the energy storage battery under test can be obtained, for example, by using the deviation calculation method to obtain the deviation value Dev, with the formula being the deviation score. dev = (10 - (maximum temperature of the tested energy storage battery - maximum temperature baseline value S)) * 0.1. Based on the data in the table above and the formula, the deviation value Dev is 1.05. Furthermore, through statistical analysis of historical data of energy storage batteries (including traceability data analysis for cascaded energy storage batteries), the preset parameter threshold for the maximum temperature of the energy storage battery is obtained as 0.8. That is, if the deviation score of the maximum temperature of the tested energy storage battery is... dev If the deviation value (Dev) of the maximum temperature of the tested energy storage battery is less than 0.8, it is determined that the tested energy storage battery is abnormal. Therefore, it can be determined that the tested energy storage battery in this embodiment is not abnormal. Furthermore, if the deviation value (Dev) of the maximum temperature of the tested energy storage battery approaches or falls below 0.8, it indicates that the tested energy storage battery is showing a trend of abnormality. This allows for early warning and alerts, preventing the battery from exhibiting abnormalities only after they occur, and enabling more timely safety assessments of the energy storage battery.

[0151] The deviation calculation method in this embodiment of the invention is based on the aforementioned dynamic benchmark value S, thus obtaining a deviation score. dev The deviation score also changes dynamically over different times. dev It can be used not only to determine the safety of energy storage batteries at the same time, but also to determine the changing trend of the safety status of energy storage batteries. Therefore, it can truly reflect the differences between the energy storage battery under test and other energy storage batteries in the same energy storage site.

[0152] Furthermore, embodiments of the present invention can obtain a deviation score for determining whether an energy storage battery has an anomaly by comparing the conductivity process data under test with a benchmark value S. dev Furthermore, different deviation scoring formulas are set for different conductive process variables, which makes the safety assessment results highly accurate.

[0153] Furthermore, the preset parameter thresholds in the embodiments of the present invention are obtained through statistical analysis of historical data of energy storage batteries (including traceability data analysis for cascaded energy storage batteries), and can also be flexibly set and adjusted as needed.

[0154] For dedicated energy storage battery packs, all conductivity process data during use can be obtained, and a preset parameter threshold can be determined by combining the state analysis during use.

[0155] For cascaded energy storage batteries, their traceability data is also analyzed. This means that when determining the preset parameter thresholds, not only is the conductivity data of the batteries during their use in energy storage stations analyzed, but also the raw data collected and accumulated by the charging network on the big data platform during their long-term charge-discharge process before retirement is analyzed. This allows for a more scientific and accurate assessment of the battery's safety. Because the preset parameter thresholds are based on extensive data analysis and can be adjusted according to actual conditions, the accuracy of the data is fully guaranteed, thus ensuring the safety of the batteries used in energy storage stations.

[0156] Please see Figure 3 , Figure 3 This is a flowchart of some steps in the energy storage battery safety assessment method according to the second embodiment of the present invention. The difference between the second embodiment and the first embodiment is that step S14 further includes: obtaining multiple benchmark values ​​S based on the correspondence between the reference conductivity process data Dr of the reference conductivity process variable Vr and time, wherein each benchmark value S is a comparison value obtained based on all similar reference conductivity process data Dr in the reference energy storage battery pack at the same time.

[0157] Specifically, the test conductivity process variable Vt and multiple sets of test conductivity process data Dt are obtained for the energy storage battery under test during the same time period during charging, discharging, and / or static states. Corresponding to the test conductivity process variable Vt, a reference conductivity process variable Vr and multiple sets of reference conductivity process data Dr are obtained. In one specific embodiment, the highest temperature of the energy storage battery under test during charging is obtained as the test conductivity process variable Vt, and the temperature within a preset time period T is also obtained. pst Multiple sets of measured conductivity process data Dt at the highest temperature within the range. Corresponding to the measured conductivity process variable Vt, the highest temperature of the reference energy storage battery pack during the charging process is obtained as the reference conductivity process variable Vr, and the temperature within the preset time period T is also obtained. pst Multiple sets of reference conductivity process data Dt at the highest temperature within the battery pack. Corresponding to the highest temperature, a reference value S for the highest temperature in the reference energy storage battery pack is obtained by averaging, finding the highest value, or finding the lowest value; however, this invention is not limited to this.

[0158] In this embodiment of the invention, by analyzing multiple sets of data on the conductivity process variables within a preset time period T, it is possible to establish a [database structure / mechanism] for that preset time period T. pst The relationship between internal conductivity process variables and time is based on data over a complete time period, rather than data at a single point in time, thus providing a more accurate assessment of the safety status of energy storage batteries.

[0159] Furthermore, by establishing the relationship between conductivity process variables and time, multiple sets of conductivity process data and multiple benchmark values ​​can be obtained, with a sufficient data sample size, making the safety assessment results more accurate.

[0160] Step S15 further includes: obtaining the energy storage battery under test within a preset time period T based on multiple reference values ​​S. pst Multiple safety assessment information items are included, each characterizing the health status of the energy storage battery under test at the same time. Specifically, the multiple safety assessment information items are conductivity process variables within a preset time period T. pst Security assessment information at each point in time within the time frame. In one specific embodiment, a preset time period T... pst For example, for a period of ten seconds, the highest temperature data of the reference energy storage battery per second is obtained using the method described above. This yields ten baseline values ​​S, representing the baseline value of the highest temperature corresponding to each second. Then, the energy storage battery under test is subjected to a preset time period T. pst The highest temperature data for each second is compared with the corresponding baseline value S to obtain the preset time period T. pst Security assessment information corresponding to each second.

[0161] In this embodiment of the invention, the security assessment information is based on multiple security assessment information at each time point within a preset time period. By dividing a complete time period into equal parts and calculating the data at each time point, the final security assessment result is more accurate.

[0162] Furthermore, the second embodiment of the present invention also includes a step S16' of obtaining comprehensive safety assessment information and a step S17 of identifying anomalies in the energy storage battery, wherein,

[0163] S16': Obtain comprehensive safety assessment information based on multiple safety assessment information. This comprehensive safety assessment information is used to characterize the energy storage battery under test within a preset time period T. pst Internal health status;

[0164] S17: If the comprehensive safety assessment information is less than a preset parameter threshold, or if it approaches a preset parameter threshold, then the energy storage battery under test is judged to be abnormal.

[0165] In a preferred embodiment, step S15 obtains the energy storage battery under test within a preset time period T based on multiple reference values ​​S. pst The method for obtaining multiple safety assessment information is to use the deviation calculation method to obtain multiple deviation scores. dev，i This includes multiple security assessment information such as multiple deviation scores. dev，i Each deviation score dev，iIt is obtained by comparing the test conductivity data Dt of the test conductivity variable Vt with each benchmark value S, where i is an integer greater than 1. Specifically, the process of obtaining multiple safety assessment information according to the above method is shown in the table below.

[0166] <![CDATA[t1]]> <![CDATA[Highest temperature 11 > <![CDATA[Highest temperature 21 > <![CDATA[Highest temperature 31 > <![CDATA[S t1 ]]> <![CDATA[score dev，1 ]]> <![CDATA[t2]]> <![CDATA[Highest temperature 12 > <![CDATA[Highest temperature 22 > <![CDATA[Highest temperature 32 > <![CDATA[S t2 ]]> <![CDATA[score dev，2 ]]> <![CDATA[t3]]> <![CDATA[Highest temperature 13 > <![CDATA[Highest temperature 23 > <![CDATA[Highest temperature 33 > <![CDATA[S t3 ]]> <![CDATA[score dev，3 ]]> <![CDATA[t4]]> <![CDATA[Highest temperature 14 > <![CDATA[Highest temperature 24 > <![CDATA[Highest temperature 34 > <![CDATA[S t4 ]]> <![CDATA[score dev，4 ]]> <![CDATA[t5]]> <![CDATA[Highest temperature 15 > <![CDATA[Highest temperature 25 > <![CDATA[Highest temperature 35 > <![CDATA[S t5 ]]> <![CDATA[score dev，5 ]]>

[0167] In one specific embodiment, three identical energy storage batteries from an energy storage device in an energy storage station are selected as reference energy storage batteries. Energy storage battery 3 is selected as the energy storage battery under test, and the highest temperature of the energy storage battery under test during the charging process is selected as the conductivity process variable to be tested. Therefore, the highest temperature of the reference energy storage battery is the reference conductivity process variable. The highest temperature data of all energy storage batteries corresponding to each time period t1-t5 are obtained as conductivity process data, and the benchmark value of the highest temperature corresponding to each time period t1-t5 is obtained by calculating the mean, the highest value, or the lowest value. Then, by comparing the highest temperature data of the energy storage battery under test at the same time with the benchmark value, multiple deviation scores are obtained at the same time within the time period t1-t5. Different deviation calculation formulas are used for different selections of conductivity process variables.

[0168] Maximum temperature: Deviation score = (10 - (maximum temperature of the tested energy storage battery - maximum temperature reference value S)) * 0.1;

[0169] Temperature rise: Deviation score = (10 - temperature rise of the tested energy storage battery) * 0.1;

[0170] Temperature difference: Deviation score = (10 - temperature difference of the tested energy storage battery) * 0.1;

[0171] Pressure difference: Deviation score = 1 - (pressure difference of the energy storage battery under test / threshold) * 0.5.

[0172] In this embodiment of the invention, the deviation score obtained through the deviation calculation method is based on data from energy storage batteries in the same energy storage site, thus providing a better characterization of the safety status and changing trends of the tested energy storage battery. Furthermore, by decomposing each time point within a preset time period, a deviation score characterizing the energy storage battery's state at that time can be obtained separately for each point, making the safety assessment of the energy storage battery more accurate. Additionally, the preset time period T can also be obtained... pst Data from multiple orders within the same period, such as obtaining conductive process data from multiple orders within the most recent month, to ensure the accuracy of the safety assessment.

[0173] In the above deviation calculation formula, since temperature and voltage are independent physical variables with inherent metric significance, no benchmark value is set; that is, zero degrees Celsius and zero volts are used as benchmarks, taking their standard physical characteristics as the basis. For other conductive process variables, the formula for calculating the deviation score can also be different, and this invention is not limited to this. Furthermore, the threshold in the voltage difference deviation calculation formula is obtained through statistical analysis of historical data of energy storage batteries (including traceability data analysis for cascaded energy storage batteries), and can also be flexibly set and adjusted as needed.

[0174] In a preferred embodiment, the method for obtaining comprehensive security assessment information based on multiple security assessment information in step S16' is to obtain a comprehensive security score using a weighted average method or a mean method. std Comprehensive security assessment information includes a comprehensive security score. std Overall security score std It is based on the preset time period T pst All multiple deviation scores within dev，i This was obtained. Specifically, it involves acquiring all deviation scores. dev，i The sequence is calculated and a weighted average is taken to obtain the overall security score. std The formula is score std =sum(m / len*score) dev，i ) / sum(m / len), 1≤m≤len(1), where sum is the summation formula and len is the score of all deviations. dev，i The sequence length is an integer, and m is an integer; or, obtain all deviation scores. dev，i The sequence is averaged to obtain the overall security score. std The formula is score std =avg(score) dev，1 score dev，2 ,...,score dev，i (2), where avg is the formula for calculating the average.

[0175] In one specific embodiment, as described above, the highest temperature deviation score corresponding to each time point within a preset time period is obtained. dev，i The sequence is {score} dev，1 score dev，2 score dev，3 score dev，4 score dev，5Then, using formula (1) or (2), a comprehensive safety score is obtained to characterize the health status of the energy storage battery under test within the preset time period. std If the overall safety score is... std If the value is less than a preset parameter threshold, the energy storage battery under test is judged to be abnormal.

[0176] In this embodiment of the invention, the comprehensive safety assessment information used to evaluate the safety of the energy storage battery under test is based on the safety assessment information at each time point within a complete time period, with a complete data structure. Then, the safety assessment information at each time point is calculated according to reasonable weights or averages using a weighted average method or a mean method to comprehensively assess the health status of the energy storage battery within that time period.

[0177] The preset parameter thresholds are obtained through statistical analysis of historical data from energy storage batteries. They can also be flexibly set and adjusted as needed. The technical solution and effects are the same as described above and will not be repeated here. Additionally, the comprehensive safety score of the energy storage battery under test... std When the value approaches or falls below a preset parameter threshold, it indicates that the energy storage battery under test is showing an abnormal trend. This allows for early warning of potential abnormalities, preventing the need to take action only after the battery actually becomes abnormal. This enables a more timely and accurate assessment of the battery's safety.

[0178] A comprehensive safety score is obtained through calculation. std Furthermore, by comparing it with a preset safety threshold obtained based on a large amount of data, it can accurately reflect the safety status of the energy storage battery, which can improve the safety of the energy storage battery during use and facilitate its application.

[0179] Please also refer to Figure 4 , Figure 4 This is a flowchart of some steps in the energy storage battery safety assessment method according to the third embodiment of the present invention. The difference between the third embodiment and the second embodiment is that step S16' further includes obtaining final safety assessment information based on multiple comprehensive safety assessment information; and also includes step S17' of identifying an anomaly in the energy storage battery: if the final safety assessment information is less than a preset parameter threshold, or shows a value close to being less than a preset parameter threshold, then it is determined that the energy storage battery under test is abnormal.

[0180] In a preferred embodiment, the multiple comprehensive safety assessment information comprises multiple comprehensive safety assessment information obtained based on the charging process, the discharging process, and / or the static state. Please refer to [link / reference]. Figure 5 , Figure 5 This is a complete flowchart of the energy storage battery safety assessment method according to the third embodiment of the present invention. Figure 5As shown, data from the charging and discharging processes of the energy storage battery under test can be analyzed separately. Then, the safety assessment results from both processes can be comprehensively analyzed to more accurately assess the battery's health status. In one specific embodiment, the comprehensive safety assessment information for the charging and discharging processes of the energy storage battery under test can be obtained using the aforementioned safety assessment method. Further comprehensive analysis of these two sets of information yields the final safety assessment information, thereby determining the health status of the energy storage battery under test.

[0181] Please see Figure 6 , Figure 6 This is a data table of the comprehensive safety score of the energy storage battery under test obtained by the energy storage battery safety assessment method according to the third embodiment of the present invention. The method of obtaining the final safety assessment information further includes calculating any one of the following: the minimum value, the mean value, the weighted average value, or the weighted average value including abnormal and normal order data, based on the comprehensive safety score of each conduction process variable during each conduction process; however, the present invention is not limited thereto. Figure 6 This invention illustrates the comprehensive safety scores for various conductivity process variables during charging and discharging. The final safety assessment information can be obtained based on the comprehensive safety scores of different conductivity process variables under different conductivity processes. For example, the final safety assessment information can be obtained by combining the comprehensive safety scores of the highest temperature during charging and the highest temperature during discharging, or by combining the comprehensive safety scores of temperature rise during charging and internal resistance during discharging, making the safety assessment more accurate. Other combinations of conductivity processes and conductivity process variables are also possible, and this invention is not limited thereto. Furthermore, if data is missing during the acquisition of conductivity process data for conductivity process variables, resulting in some data being unavailable, or if the calculated comprehensive safety score is zero, a defect value completion method can be used to further optimize the data, but this invention is not limited thereto.

[0182] The present invention provides a method for safety assessment of energy storage batteries in energy storage stations. This method is based on the conductivity process data of the energy storage battery under test and a reference energy storage battery pack within the same area. A dynamic benchmark value is used as a comparison value and compared with the conductivity process data of the energy storage battery under test to obtain safety assessment information for the energy storage battery under test. The benchmark value is a comparison value obtained from all reference conductivity process data in the reference energy storage battery pack at the same time. The reference conductivity process data is the conductivity process data of the reference conductivity process variable, generated by acquiring the conductivity process data of each energy storage battery in the reference energy storage battery pack within a preset time period. The reference conductivity process variable is the conductivity process variable of the energy storage battery in the reference energy storage battery pack, which corresponds to the conductivity process variable under test. Based on the above, the energy storage battery safety assessment method of the present invention is based on the conductivity process data of the energy storage battery and obtains a dynamic benchmark value by analyzing the conductivity process data of a reference energy storage battery pack within the same area. This dynamic benchmark value is then compared with the conductivity process data of the energy storage battery under test. In contrast, the existing energy storage battery safety assessment method is based on experimental data from a test environment and obtains a fixed benchmark value by testing the energy storage battery. This fixed benchmark value is then compared with the conductivity process data of the energy storage battery under test. Therefore, the present invention can fully consider changes in the actual environment and energy storage battery performance and can update safety thresholds in a timely manner, thereby improving the accuracy of safety analysis and solving the technical problem of inaccurate assessment of energy storage battery safety in the prior art. This reduces safety hazards caused by misjudgment in practical applications and ensures the safety of energy storage batteries in energy storage stations during use.

[0183] Please see Figure 7 , Figure 7 A structural block diagram of an energy storage battery safety assessment system 6 for an energy storage station according to a fourth embodiment of the present invention is shown, including:

[0184] The first selection module 60 is used to determine the type and location of the energy storage battery to be tested. In this embodiment, the energy storage station refers to a home energy storage facility for charging electrical equipment, a commercial energy storage facility, or an energy storage station specifically for charging electric vehicles. The energy storage battery is a fixed energy storage battery within the energy storage station for a certain period of time. The type of energy storage battery includes battery type and / or battery model. The battery type further includes cascaded energy storage battery packs, dedicated energy storage battery packs, and individual battery cells within the aforementioned battery packs. Therefore, the technical solution of this invention has a wide coverage and is not limited to the type of energy storage battery. Its specific implementation and beneficial technical effects are as described in step S10 above and will not be repeated here.

[0185] The second selection module 61 is used to select multiple energy storage batteries in at least one energy storage device within the same area as a reference energy storage battery pack.

[0186] In a preferred embodiment, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same city where the energy storage battery under test is located; or, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located; or, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located.

[0187] The reference energy storage battery pack in this embodiment may or may not include the energy storage battery under test, and the present invention is not limited thereto. Its specific implementation and beneficial technical effects are as described in step S11 above, and will not be repeated here.

[0188] The first processing module 62 is used to select the test conductivity process variable Vt of the energy storage battery under test and obtain the energy storage battery under test during a preset time period T. pst The test conductivity process data Dt is the conductivity process data of the energy storage battery under test, where the test conductivity process variable Vt is the conductivity process variable of the energy storage battery under test, and the test conductivity process data Dt is the conductivity process data of the test conductivity process variable Vt. In a preferred embodiment, the conductivity process variable includes one or more of a primary variable, a secondary variable characterizing the trend of the primary variable, and other variables. The descriptions of the primary variable, secondary variable, and other variables are detailed in step S12 above and will not be repeated here. Furthermore, the conductivity process data also includes data generated by the energy storage battery during the charging process, discharging process, and / or static state, and the conductivity process data can also be the data of the energy storage battery during a preset time period T. pst Data from multiple orders within the system. The specific implementation method and beneficial technical effects are as described in step S12 above, and will not be repeated here;

[0189] The second processing module 63 is used to select a reference conductivity process variable Vr corresponding to the conductivity process variable Vt to be measured, and to obtain the time period T for each energy storage battery in the reference energy storage battery pack. pst The reference conductivity process data Dr is defined within the reference energy storage battery pack, where the reference conductivity process variable Vr is the conductivity process variable of the energy storage battery in the reference energy storage battery pack, and the reference conductivity process data Dr is the conductivity process data of the reference conductivity process variable Vr. Correspondingly, the conductivity process variable and conductivity process data in the reference energy storage battery pack are the same as described in the first processing module. The specific implementation method and beneficial technical effects are as described in step S13 above, and will not be repeated here.

[0190] The first determining module 64 is used to obtain a reference value S based on the correspondence between the reference conductivity process data Dr of the reference conductivity process variable Vr and time. The reference value S is a comparison value obtained from all reference conductivity process data Dr in the reference energy storage battery pack at the same time. The reference value S can be obtained by calculating the average, the highest value, or the lowest value; this invention is not limited to these methods. Its specific implementation and beneficial technical effects are as described in step S14 above, and will not be repeated here.

[0191] The second determining module 65 is used to obtain the safety assessment information of the energy storage battery under test according to the benchmark value S. The safety assessment information is used to characterize the health status of the energy storage battery under test at the same time. Its specific implementation method and beneficial technical effects are as described in step S15 above, and will not be repeated here.

[0192] The first state identification module 66 is used to identify abnormal energy storage batteries. If the safety assessment information is less than a preset parameter threshold, or approaches a preset parameter threshold, then the energy storage battery under test is determined to be abnormal. Its specific implementation and beneficial technical effects are as described in step S16 above, and will not be repeated here.

[0193] In a preferred embodiment, the first determining module 64 is further configured to obtain multiple reference values ​​S based on the correspondence between the reference conductivity process data Dr and time, where each reference value S is a comparison value obtained based on all similar reference conductivity process data Dr in the reference energy storage battery pack at the same time.

[0194] The second determining module 65 is also used to obtain the energy storage battery under test within a preset time period T based on multiple reference values ​​S. pst Multiple safety assessment information within the system are used to characterize the health status of the energy storage battery under test at the same time.

[0195] It also includes a third determining module 67 and a second state recognition module 68:

[0196] The third determining module 67 is used to obtain comprehensive safety assessment information based on multiple safety assessment information. The comprehensive safety assessment information is used to characterize the energy storage battery under test within a preset time period T. pst The second state identification module 68 is used to identify abnormal energy storage batteries. If the comprehensive safety assessment information is less than a preset parameter threshold, or approaches a preset parameter threshold, then the energy storage battery under test is determined to be abnormal. Its specific implementation and beneficial technical effects are as described in steps S16' and S17 above, and will not be repeated here.

[0197] In a preferred embodiment, the third determining module 67 is further used to obtain final safety assessment information based on multiple comprehensive safety assessment information, and also includes a third state identification module 69. The third state identification module 69 is used to identify energy storage batteries that exhibit abnormalities. If the final safety assessment information is less than a preset parameter threshold, or approaches a preset parameter threshold, then the energy storage battery under test is determined to be abnormal. The aforementioned preset parameter threshold is obtained through statistical analysis of historical data of the energy storage batteries, and can also be flexibly set and adjusted as needed. Its specific implementation and beneficial technical effects are as described in steps S16' and S17' above, and will not be repeated here.

[0198] Furthermore, please refer to Figure 8 . Figure 8 This is a partial structural module diagram of an energy storage battery safety assessment system 7 for an energy storage station according to a fifth embodiment of the present invention. The energy storage battery safety assessment system 7 includes all the modules of the energy storage battery safety assessment system 6 in the fourth embodiment described above. Figure 8 (Not shown in the text), its difference from the energy storage battery safety assessment system 6 is that it also includes a data acquisition module 71, a data interaction module 72, a data processing module 73, and / or an energy storage battery database DB, wherein:

[0199] Data acquisition module 71 is used to collect the conductivity process variables and conductivity process data of energy storage batteries in energy storage stations, and upload them to the energy storage battery database DB through data interaction module 72 in a periodic or real-time transmission manner;

[0200] The energy storage battery database (DB) is used to store the conduction process variables and conduction process data of multiple energy storage sites.

[0201] The data processing module 73 is used to analyze the data in the energy storage battery database DB to determine a preset parameter threshold.

[0202] Please refer to the following: Figure 8 In one specific embodiment, energy storage devices in multiple energy storage sites located in different regions are equipped with energy storage battery safety assessment systems 7 and 8. Data acquisition modules 71 and 81 in these systems collect conductivity process variables and data from the energy storage batteries in the energy storage sites. This data is then uploaded to the energy storage battery database DB via data interaction modules 72 and 82 in a periodic or real-time transmission manner. Therefore, the energy storage battery database DB stores data from energy storage batteries in multiple energy storage sites with different specifications, types, and locations. Data processing modules 73 and 83 can retrieve all data from the local energy storage site and the energy storage battery database DB through data interaction modules 72 and 82 and perform big data analysis to determine a preset parameter threshold for determining whether an energy storage battery is abnormal, thus making the energy storage battery safety assessment system more accurate.

[0203] The energy storage battery safety assessment system for energy storage stations in this embodiment of the invention forms a database of energy storage batteries. It can not only analyze the data of all energy storage batteries in a local energy storage station, but also perform comprehensive analysis of the data of energy storage batteries in multiple energy storage stations. The data in the database is complete, which makes the accuracy of the preset parameter thresholds obtained high.

[0204] In addition, the energy storage battery database also includes traceability data of cascaded energy storage batteries, which further optimizes the accuracy of preset parameter thresholds and makes the safety assessment of energy storage batteries more accurate.

[0205] Since the embodiments of the system part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the system part, which will not be repeated here. It should be noted that the system proposed above can also be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules described above is merely a logical functional division. In actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed.

[0206] The sixth embodiment of the present invention also provides a computer-readable storage medium having a computer program stored thereon, the computer program being configured to execute the above-described energy storage battery safety assessment method when running, which will not be described in detail here.

[0207] The seventh embodiment of the present invention also provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the above-described energy storage battery safety assessment method, which will not be described in detail here.

[0208] Please see Figure 9 , Figure 9 This is a structural block diagram of the eighth embodiment of the present invention. The eighth embodiment of the present invention also provides an energy storage battery safety display terminal 9 for an energy storage station, comprising:

[0209] Memory 91 is used to store computer programs;

[0210] Processor 92 is configured to run the computer program to perform the following steps:

[0211] The above-described energy storage battery safety assessment method is used to obtain the health status of the energy storage battery, which will not be elaborated here.

[0212] Receiver module 93 is used to receive the health status;

[0213] Output module 94 is used to output the health status to a display screen 95;

[0214] Display screen 95 is used to display the health status.

[0215] In this embodiment of the invention, the safety assessment results are displayed on a screen, which makes it easy for users to intuitively know if an energy storage battery has an abnormality or shows an abnormal trend, and take timely safety measures.

[0216] The ninth embodiment of the present invention also provides an energy storage device for an energy storage station, wherein the energy storage device is equipped with or connected to a network to the above-mentioned energy storage battery safety assessment system.

[0217] Please see Figure 10 , Figure 10 This is a schematic diagram of an energy storage device for an energy storage station according to the ninth embodiment of the present invention. The energy storage device 10 is equipped with a complete energy storage battery safety assessment system 101 at its local end. It can interact with the energy storage battery database DB in the cloud through a data interaction module, and perform local or cloud processing on the conductivity process variables and conductivity process data in the energy storage battery database DB to determine preset parameter thresholds.

[0218] The energy storage device in this embodiment of the invention can analyze the data of the energy storage battery locally or in the cloud by setting up a complete energy storage battery safety assessment system. Even in the case of network instability, it can analyze all the energy storage batteries in the local energy storage site, which improves the stability of the system and ensures the accuracy of the safety assessment.

[0219] Please refer to the following: Figure 11 , Figure 11 This is a schematic diagram of an energy storage device for an energy storage station according to the tenth embodiment of the present invention. The energy storage device 10' does not have a local energy storage battery safety assessment system; the complete energy storage battery safety assessment system 101' is entirely located in the cloud. The energy storage device 10' only performs the functions of online connection or host computer operation. The energy storage device 10' controls the cloud-based energy storage battery safety assessment system 101' to process the conductivity process variables and conductivity process data in the energy storage battery database DB, thereby determining preset parameter thresholds.

[0220] In this embodiment of the invention, the energy storage battery safety assessment system is located in the cloud, eliminating the need for local setup and improving the convenience and cost-effectiveness of energy storage battery safety assessment in application. The operation and maintenance of the cloud system are not limited by time or location; only the cloud server needs maintenance, enabling timely response and feedback of issues, thus improving operation and maintenance efficiency.

[0221] In addition, the cloud system also has certain functional scalability, namely, it supports the secondary development of the energy storage battery safety assessment system based on conductivity process variables, such as incorporating other influencing factors into the safety assessment method, which facilitates further optimization of the safety assessment system.

[0222] The eleventh embodiment of the present invention also provides an energy storage station, which is equipped with one or more of the above-mentioned energy storage devices to evaluate the energy storage batteries in the energy storage station and identify the abnormal energy storage batteries to ensure the safety of the energy storage station.

[0223] The above provides a detailed description of the safety assessment methods, systems, energy storage devices, and energy storage sites for energy storage batteries. The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems, apparatuses, and devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant details can be found in the method section.

[0224] Of course, the present invention may have other various embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art can make various corresponding changes and modifications according to the present invention, but these corresponding changes and modifications should all fall within the protection scope of the appended claims.

Claims

1. A method for safety assessment of energy storage batteries in energy storage sites, characterized in that, The method includes the following steps: Determine the type and geographical area of ​​the energy storage battery to be tested; Select multiple energy storage batteries from at least one energy storage device within the same area as a reference energy storage battery pack. Select the conductance process variable Vt of the energy storage battery under test, and obtain the energy storage battery under test within a preset time period T. pst The measured conductivity data Dt within the device, Wherein, the conductivity process variable Vt to be tested is the conductivity process variable of the energy storage battery to be tested, and the conductivity process data Dt to be tested is the conductivity process data of the conductivity process variable Vt to be tested; Corresponding to the measured conduction process variable Vt, a reference conduction process variable Vr is selected, and the value of each energy storage cell in the reference energy storage battery pack during the preset time period T is obtained. pst Reference conductivity process data Dr, Wherein, the reference conductivity process variable Vr is the conductivity process variable of the energy storage battery in the reference energy storage battery pack, and the reference conductivity process data Dr is the conductivity process data of the reference conductivity process variable Vr; A reference value S is obtained based on the correspondence between the reference conductivity process data Dr and time, which is a comparison value obtained based on all the reference conductivity process data Dr in the reference energy storage battery pack at the same time. The safety assessment information of the energy storage battery under test is obtained based on the benchmark value S, and the safety assessment information is used to characterize the health status of the energy storage battery under test at the same time; wherein... The conductivity process variables further include one or more of primary variables, secondary variables characterizing the changing trend of the primary variables, and other variables. The primary variables include directly transmitted parameters explicitly stated in the messaging protocol between the energy storage station and the battery management system; and... The conductivity process data further includes data generated during the charging process, discharging process, and / or the quiescent state.

2. The method for safety assessment of energy storage batteries for energy storage stations according to claim 1, characterized in that, The energy storage battery safety assessment method also includes: The test battery is identified as abnormal based on the safety assessment information. If the safety assessment information is less than a preset parameter threshold, or is close to being less than a preset parameter threshold, then the test battery is determined to be abnormal.

3. The method for safety assessment of energy storage batteries for energy storage stations according to claim 1, characterized in that, The step of obtaining the safety assessment information of the energy storage battery under test based on the benchmark value S further includes: The deviation score is obtained using the deviation calculation method. dev The security assessment information includes the deviation score. dev The deviation score dev It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with the reference value S.

4. The method for safety assessment of energy storage batteries for energy storage stations according to claim 1, characterized in that, The process of obtaining the reference value S based on the correspondence between the reference conductivity process data Dr and time, which is based on the reference conductivity process variable Vr, further includes: Multiple reference values ​​S are obtained based on the correspondence between the reference conductivity process data Dr and time, where each reference value S is a comparison value obtained from all similar reference conductivity process data Dr in the reference energy storage battery pack at the same time.

5. The method for safety assessment of energy storage batteries for energy storage stations according to claim 4, characterized in that, The step of obtaining the safety assessment information of the energy storage battery under test based on the benchmark value S further includes: The energy storage battery under test is obtained based on the multiple reference values ​​S during the preset time period T. pst The system contains multiple safety assessment information entries, each of which is used to characterize the health status of the energy storage battery under test at the same time.

6. The method for safety assessment of energy storage batteries for energy storage stations according to claim 5, characterized in that, The energy storage battery safety assessment method also includes: A comprehensive safety assessment information is obtained based on the multiple safety assessment information. This comprehensive safety assessment information is used to characterize the energy storage battery under test during the preset time period T. pst Internal health status.

7. The method for safety assessment of energy storage batteries for energy storage stations according to claim 6, characterized in that, The energy storage battery safety assessment method also includes: The test battery is identified as abnormal based on the comprehensive safety assessment information. If the comprehensive safety assessment information is less than a preset parameter threshold, or is close to being less than a preset parameter threshold, then the test battery is determined to be abnormal.

8. The method for safety assessment of energy storage batteries for energy storage stations according to claim 6, characterized in that, The energy storage battery under test is obtained based on multiple benchmark values ​​S during the preset time period T. pst Further security assessment information includes: Multiple deviation scores are obtained using the deviation calculation method. dev，i The multiple security assessment information includes multiple deviation scores. dev，i Each of the aforementioned deviation scores dev，i It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with each of the reference values ​​S, where i is an integer greater than 1.

9. The method for safety assessment of energy storage batteries for energy storage stations according to claim 8, characterized in that, The step of obtaining comprehensive security assessment information based on multiple security assessment information further includes: The overall safety score is obtained using the weighted average method or the mean method. std The comprehensive security assessment information includes a comprehensive security score. std The comprehensive security score std It is based on the preset time period T pst All of the aforementioned deviation scores dev，i It was obtained.

10. The method for safety assessment of energy storage batteries for energy storage stations according to claim 9, characterized in that, The comprehensive safety score is obtained using a weighted average or mean method. std Further includes: Obtain the multiple deviation scores dev，i The sequence is calculated and a weighted average is taken to obtain the overall security score. std The formula is score std =sum(m / len*score dev，i ) / sum(m / len), 1≤m≤len, where sum is the summation formula and len is the multiple deviation scores. dev，i The length of the sequence is an integer, and m is an integer; or, Obtain the multiple deviation scores dev，i The sequence is averaged to obtain the overall security score. std The formula is score std =avg(score) dev，1 score dev，2 ,..., score dev，i ), where avg is the formula for calculating the average.

11. The method for safety assessment of energy storage batteries for energy storage stations according to claim 6, characterized in that, The energy storage battery safety assessment method also includes: The final safety assessment information is obtained based on multiple comprehensive safety assessment information, which are comprehensive safety assessment information under different conduction processes.

12. The method for safety assessment of energy storage batteries for energy storage stations according to claim 11, characterized in that, The energy storage battery safety assessment method also includes: The test battery is identified as abnormal based on the final safety assessment information. If the final safety assessment information is less than a preset parameter threshold, or is close to being less than a preset parameter threshold, then the test battery is determined to be abnormal.

13. The method for safety assessment of energy storage batteries for energy storage stations according to claim 1 or 4, characterized in that, The type of energy storage battery includes battery type and / or battery model, wherein the battery type includes any one of the following: cascaded energy storage battery pack, dedicated energy storage battery pack, energy storage battery cell in cascaded energy storage battery pack, and energy storage battery cell in dedicated energy storage battery pack.

14. The method for safety assessment of energy storage batteries for energy storage stations according to claim 13, characterized in that, The reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same city where the energy storage battery under test is located; or, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located; or, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located.

15. The method for safety assessment of energy storage batteries for energy storage stations according to claim 1 or 4, characterized in that, Acquiring the test conductivity data Dt and / or the reference conductivity data Dr further includes: Obtain T within the preset time period pst Multiple orders; Obtain the conductive process data from each of the orders.

16. A safety assessment system for energy storage batteries used in energy storage sites, characterized in that, include: The first selection module is used to determine the type and geographical area of ​​the energy storage battery under test. The second selection module is used to select multiple energy storage batteries in at least one energy storage device within the same area as a reference energy storage battery pack. The first processing module is used to select the test conductivity process variable Vt of the energy storage battery under test, and obtain the energy storage battery under test within a preset time period T. pst The measured conductivity data Dt within the device, Wherein, the conductivity process variable Vt to be tested is the conductivity process variable of the energy storage battery to be tested, and the conductivity process data Dt to be tested is the conductivity process data of the conductivity process variable Vt to be tested; The second processing module is used to select a reference conductivity process variable Vr corresponding to the conductivity process variable Vt to be measured, and to obtain the information of each energy storage cell in the reference energy storage battery pack during the preset time period T. pst Reference conductivity process data Dr, Wherein, the reference conductivity process variable Vr is the conductivity process variable of the energy storage battery in the reference energy storage battery pack, and the reference conductivity process data Dr is the conductivity process data of the reference conductivity process variable Vr; The first determining module is used to obtain a reference value S based on the correspondence between the reference conductivity process data Dr and time of the reference conductivity process variable Vr, wherein the reference value S is a comparison value obtained based on all the reference conductivity process data Dr in the reference energy storage battery pack at the same time. The second determining module is used to obtain safety assessment information of the energy storage battery under test based on the benchmark value S, wherein the safety assessment information is used to characterize the health status of the energy storage battery under test at the same time; wherein... The conductivity process variables further include one or more of primary variables, secondary variables characterizing the changing trend of the primary variables, and other variables. The primary variables include directly transmitted parameters explicitly stated in the messaging protocol between the energy storage station and the battery management system; and... The conductivity process data further includes data generated during the charging process, discharging process, and / or the quiescent state.

17. The energy storage battery safety assessment system for energy storage stations according to claim 16, characterized in that, The energy storage battery safety assessment system also includes: The first state recognition module is used to identify abnormal energy storage batteries. If the safety assessment information is less than a preset parameter threshold, or is close to being less than a preset parameter threshold, then the energy storage battery under test is determined to be abnormal.

18. The energy storage battery safety assessment system for energy storage stations according to claim 16, characterized in that, In the second determining module, obtaining the safety assessment information of the energy storage battery under test based on the reference value S further includes: The deviation score is obtained using the deviation calculation method. dev The security assessment information includes the deviation score. dev The deviation score dev It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with the reference value S.

19. The energy storage battery safety assessment system for energy storage stations according to claim 16, characterized in that, The first determining module is further configured to obtain multiple reference values ​​S based on the correspondence between the reference conductivity process data Dr of the reference conductivity process variable Vr and time, wherein each reference value S is a comparison value obtained based on all similar reference conductivity process data Dr in the reference energy storage battery pack at the same time.

20. The energy storage battery safety assessment system for energy storage stations according to claim 19, characterized in that, The second determining module is further configured to obtain the value of the energy storage battery under test during the preset time period T based on a plurality of the reference values ​​S. pst The system contains multiple safety assessment information entries, each of which is used to characterize the health status of the energy storage battery under test at the same time.

21. The energy storage battery safety assessment system for energy storage stations according to claim 20, characterized in that, The energy storage battery safety assessment system also includes: The third determining module is used to obtain comprehensive safety assessment information based on the multiple safety assessment information, wherein the comprehensive safety assessment information is used to characterize the energy storage battery under test during the preset time period T. pst Internal health status.

22. The energy storage battery safety assessment system for energy storage stations according to claim 21, characterized in that, The energy storage battery safety assessment system also includes: The second state recognition module is used to identify abnormal energy storage batteries. If the comprehensive safety assessment information is less than a preset parameter threshold, or approaches a preset parameter threshold, then the energy storage battery under test is determined to be abnormal.

23. The energy storage battery safety assessment system for energy storage stations according to claim 21, characterized in that, In the second determining module, the energy storage battery under test is obtained based on multiple reference values ​​S during the preset time period T. pst Further security assessment information includes: Multiple deviation scores are obtained using the deviation calculation method. dev，i The multiple security assessment information includes multiple deviation scores. dev，i Each of the aforementioned deviation scores dev，i It is obtained by comparing the test conductivity process data Dt of the test conductivity process variable Vt with each of the reference values ​​S, where i is an integer greater than 1.

24. The energy storage battery safety assessment system for energy storage stations according to claim 23, characterized in that, In the third determining module, obtaining comprehensive security assessment information based on multiple security assessment information further includes: The overall safety score is obtained using the weighted average method or the mean method. std The comprehensive security assessment information includes a comprehensive security score. std The comprehensive security score std It is based on the preset time period T pst All of the aforementioned deviation scores dev，i It was obtained.

25. The energy storage battery safety assessment system for energy storage stations according to claim 24, characterized in that, The comprehensive safety score is obtained using a weighted average or mean method. std Further includes: Obtain the multiple deviation scores dev，i The sequence is calculated and a weighted average is taken to obtain the overall security score. std The formula is score std =sum(m / len*score dev，i ) / sum(m / len), 1≤m≤len, where sum is the summation formula and len is the multiple deviation scores. dev，i The length of the sequence is an integer, and m is an integer; or, Obtain the multiple deviation scores dev，i The sequence is averaged to obtain the overall security score. std The formula is score std =avg(score) dev，1 score dev，2 ,..., score dev，i ), where avg is the formula for calculating the average.

26. The energy storage battery safety assessment system for energy storage stations according to claim 21, characterized in that, The third determining module is also used to obtain final safety assessment information based on multiple comprehensive safety assessment information, which are comprehensive safety assessment information under different conduction processes.

27. The energy storage battery safety assessment system for energy storage stations according to claim 26, characterized in that, The energy storage battery safety assessment system also includes: The third state recognition module is used to identify abnormal energy storage batteries. If the final safety assessment information is less than a preset parameter threshold, or approaches a preset parameter threshold, then the energy storage battery under test is determined to be abnormal.

28. The energy storage battery safety assessment system for energy storage stations according to claim 16 or 19, characterized in that, The type of energy storage battery includes battery type and / or battery model, wherein the battery type includes any one of the following: cascaded energy storage battery pack, dedicated energy storage battery pack, energy storage battery cell in cascaded energy storage battery pack, and energy storage battery cell in dedicated energy storage battery pack.

29. The energy storage battery safety assessment system for energy storage stations according to claim 28, characterized in that, In the second selection module, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same city where the energy storage battery under test is located; or, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located; or, in the second selection module, the reference energy storage battery pack is a plurality of energy storage batteries of the same model as the energy storage battery under test in at least one energy storage device within the same energy storage site where the energy storage battery under test is located.

30. The energy storage battery safety assessment system for energy storage stations according to claim 16 or 19, characterized in that, Acquiring the test conductivity data Dt and / or the reference conductivity data Dr further includes: Obtain T within the preset time period pst Multiple orders; Obtain the conductive process data from each of the orders.

31. The energy storage battery safety assessment system for energy storage stations according to any one of claims 17, 22, or 27, characterized in that, It also includes a data acquisition module, a data interaction module, a data processing module, and / or an energy storage battery database; among which, The data acquisition module is used to collect the conductivity process variables and conductivity process data of the energy storage batteries in the energy storage station, and upload them to the energy storage battery database through the data interaction module in a periodic or real-time transmission manner. An energy storage battery database is used to store the conductivity process variables and conductivity process data of multiple energy storage stations; The data processing module is used to analyze the data in the energy storage battery database to determine the preset parameter threshold.

32. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is configured to execute the energy storage battery safety assessment method according to any one of claims 1-15 when it is run.

33. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the energy storage battery safety assessment method according to any one of claims 1-15.

34. A safety display terminal for energy storage batteries in an energy storage station, characterized in that, include: Memory, used to store computer programs; A processor is configured to run the computer program to perform the following steps: Perform the energy storage battery safety assessment method according to any one of claims 1-15 to obtain the health status of the energy storage battery; A receiving module is used to receive the health status; The output module is used to output the health status to a display screen; The display screen is used to display the health status.

35. An energy storage device for an energy storage site, characterized in that, The system is equipped with, or is connected via a network, a battery safety assessment system as described in any one of claims 16-31.

36. An energy storage station, characterized in that, It is equipped with one or more energy storage devices as described in claim 35.

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