A battery safety monitoring method, device, electronic device and storage medium

Abstract

The present application provides a battery safety monitoring method, device, electronic device, and storage medium. The method includes: obtaining the current status data and factory information of the battery to be tested; analyzing the current status data and factory information to determine the influence values of multiple status indicators of the battery to be tested on the battery voltage difference; determining the voltage difference safety threshold of the battery to be tested according to the influence values of the multiple status indicators on the battery voltage difference; and determining the safety monitoring result of the battery to be tested according to the magnitude relationship between the measured current voltage difference value of the battery to be tested and the voltage difference safety threshold. The method provided by the above solution dynamically determines the corresponding voltage difference safety threshold according to the actual status data of the battery to be tested, and then determines the safety monitoring result of the battery to be tested by comparing the measured voltage difference value and the voltage difference safety threshold, improving the battery safety monitoring efficiency and being able to detect battery anomalies in a timely manner, laying a foundation for improving the safety of the battery.

Description

Technical Field

[0001] The present application relates to the technical field of battery safety management, and particularly to a battery safety monitoring method, device, electronic device, and storage medium. Background Art

[0002] Currently, with the growth of new energy vehicle sales, battery safety accidents are also increasing year by year. Due to the diversity of the triggering conditions of power battery failures, how to reasonably monitor the safety of power batteries in new energy vehicles has become a key research content.

[0003] In the prior art, usually, relevant technical personnel determine the safety test results of the battery based on their own relevant experience and the historical operation data of new energy vehicles.

[0004] However, the manual analysis process is relatively cumbersome, unable to ensure the efficiency of battery safety monitoring, and unable to detect battery abnormalities in a timely manner, which is not conducive to ensuring battery safety. Summary of the Invention

[0005] The present application provides a battery safety monitoring method, device, electronic device, and storage medium to solve the defects in the prior art that cannot ensure the efficiency of battery safety monitoring.

[0006] The first aspect of the present application provides a battery safety monitoring method, including:

[0007] Obtain the current status data and factory information of the battery to be tested;

[0008] Analyze the current status data and factory information to determine the influence values of multiple status indicators of the battery to be tested on the battery voltage difference;

[0009] Determine the voltage difference safety threshold of the battery to be tested according to the influence values of the multiple status indicators on the battery voltage difference;

[0010] Determine the safety monitoring result of the battery to be tested according to the magnitude relationship between the measured current voltage difference value of the battery to be tested and the voltage difference safety threshold.

[0011] Optionally, the influence value includes the influence value of the current internal resistance consistency difference. Analyzing the current status data and factory information to determine the influence values of multiple status indicators of the battery to be tested on the battery voltage difference includes:

[0012] Extract the factory data of the internal resistance of the battery cells from the factory information;

[0013] Determine the average value of the DC internal resistance of the battery cells and the standard deviation of the internal resistance of the battery cells when the battery cells leave the production line according to the factory data of the internal resistance of the battery cells;

[0014] Determine the cell internal resistance difference rate of the battery under test according to the average value of the DC internal resistance of the cells and the standard deviation of the cell internal resistance;

[0015] Determine the influence value of the current internal resistance consistency difference according to the current current characterized by the current state data, the average value of the DC internal resistance of the cells and the cell internal resistance difference rate.

[0016] Optionally, the influence value includes the influence value of the current capacity consistency difference. Analyze the current state data and the factory information to determine the influence values of multiple state indicators of the battery under test on the battery voltage difference, including:

[0017] Extract the cell capacity factory data from the factory information;

[0018] Determine the average value of the cell capacity and the standard deviation of the cell capacity of the battery under test when the cells are off the production line according to the cell capacity factory data;

[0019] Determine the state of charge difference rate of the cells according to the average value of the cell capacity and the standard deviation of the cell capacity;

[0020] According to the parameter comparison table characterized by the factory information, determine the open-circuit voltage information of the cells of the battery under test according to the current state of charge of the cells characterized by the current state data and the state of charge difference rate;

[0021] Determine the influence value of the current capacity consistency difference according to the open-circuit voltage information of the cells.

[0022] Optionally, the influence value includes the influence value of the current cell temperature. Analyze the current state data and the factory information to determine the influence values of multiple state indicators of the battery under test on the battery voltage difference, including:

[0023] According to the parameter comparison table characterized by the factory information, determine the DC internal resistance of the highest-temperature cells and the DC internal resistance of the lowest-temperature cells corresponding to the battery under test in the current state of charge according to the highest temperature of the cells and the lowest temperature of the cells characterized by the current state data;

[0024] Determine the influence value of the current cell temperature according to the current current characterized by the current state data, the DC internal resistance of the highest-temperature cells and the DC internal resistance of the lowest-temperature cells.

[0025] Optionally, the influence value includes the influence value of the current battery aging. Analyze the current state data and the factory information to determine the influence values of multiple state indicators of the battery under test on the battery voltage difference, including:

[0026] Obtain the historical state data of the battery under test;

[0027] Determine the change rate of the dynamic pressure difference of the battery under test with respect to the cumulative charge and discharge amount according to the historical state data;

[0028] Determine the current battery aging influence value according to the current cumulative charge and discharge amount of the battery under test characterized by the current state data and the change rate of the dynamic pressure difference with respect to the cumulative charge and discharge amount.

[0029] Optionally, determining the pressure difference safety threshold of the battery under test according to the influence values of the multiple state indicators on the battery pressure difference includes:

[0030] Obtain the historical monitoring data of the battery under test;

[0031] Determine the proportionality factor corresponding to each influence value according to the degree of influence of each influence value characterized by the historical monitoring data on the pressure difference of the battery under test;

[0032] Determine the pressure difference safety threshold of the battery under test according to the sum of the products of each influence value and the corresponding proportionality factor.

[0033] Optionally, determining the proportionality factor corresponding to each influence value according to the degree of influence of each influence value characterized by the historical monitoring data on the pressure difference of the battery under test includes:

[0034] Divide the historical monitoring data into a normal data set and an abnormal data set according to the historical safety monitoring results corresponding to the historical monitoring data;

[0035] Determine the degree of influence of each influence value on the pressure difference of the battery under test according to the critical information characterized by the normal data set and the abnormal data set;

[0036] Quantify the degree of influence of each influence value on the pressure difference of the battery under test into a corresponding proportionality factor to obtain the proportionality factor corresponding to each influence value.

[0037] The second aspect of the present application provides a battery safety monitoring device, including:

[0038] An acquisition module for acquiring the current state data and factory information of the battery under test;

[0039] An analysis module for analyzing the current state data and factory information to determine the influence values of multiple state indicators of the battery under test on the battery pressure difference;

[0040] A determination module for determining the pressure difference safety threshold of the battery under test according to the influence values of the multiple state indicators on the battery pressure difference;

[0041] A monitoring module, configured to determine a safety monitoring result of the battery under test according to a magnitude relationship between a measured value of a current differential pressure of the battery under test and the differential pressure safety threshold.

[0042] Optionally, the influence value includes a current internal resistance consistency difference influence value, and the analysis module is specifically configured to:

[0043] Extract cell internal resistance factory data from the factory information;

[0044] Determine an average value of the cell DC internal resistance and a standard deviation of the cell internal resistance of the battery under test when the cells are off the production line according to the cell internal resistance factory data;

[0045] Determine a cell internal resistance difference rate of the battery under test according to the average value of the cell DC internal resistance and the standard deviation of the cell internal resistance;

[0046] Determine the current internal resistance consistency difference influence value according to the current current characterized by the current state data, the average value of the cell DC internal resistance, and the cell internal resistance difference rate.

[0047] Optionally, the influence value includes a current capacity consistency difference influence value, and the analysis module is specifically configured to:

[0048] Extract cell capacity factory data from the factory information;

[0049] Determine an average value of the cell capacity and a standard deviation of the cell capacity of the battery under test when the cells are off the production line according to the cell capacity factory data;

[0050] Determine a state of charge difference rate of the cells according to the average value of the cell capacity and the standard deviation of the cell capacity;

[0051] Determine the open-circuit voltage information of the cells of the battery under test according to the current state of charge of the cells characterized by the current state data and the state of charge difference rate based on the parameter comparison table characterized by the factory information;

[0052] Determine the current capacity consistency difference influence value according to the open-circuit voltage information of the cells.

[0053] Optionally, the influence value includes a current cell temperature influence value, and the analysis module is specifically configured to:

[0054] Based on the parameter comparison table characterized by the factory information, determine the highest-temperature cell DC internal resistance and the lowest-temperature cell DC internal resistance corresponding to the battery under test in the current state of charge according to the highest temperature and the lowest temperature of the cells characterized by the current state data;

[0055] Determine the current cell temperature influence value according to the current current characterized by the current state data, the DC internal resistance of the highest temperature cell, and the DC internal resistance of the lowest temperature cell.

[0056] Optionally, the influence value includes the current battery aging influence value, and the analysis module is specifically configured to:

[0057] Obtain the historical state data of the battery to be tested;

[0058] According to the historical state data, determine the change rate of the dynamic voltage difference of the battery to be tested with respect to the cumulative charge and discharge amount;

[0059] According to the current cumulative charge and discharge amount of the battery to be tested characterized by the current state data and the change rate of the dynamic voltage difference with respect to the cumulative charge and discharge amount, determine the current battery aging influence value.

[0060] Optionally, the determination module is specifically configured to:

[0061] Obtain the historical monitoring data of the battery to be tested;

[0062] According to the influence degree of each of the influence values on the voltage difference of the battery to be tested characterized by the historical monitoring data, determine the proportionality factor corresponding to each of the influence values;

[0063] According to the sum of the products of each of the influence values and the corresponding proportionality factors, determine the voltage difference safety threshold of the battery to be tested.

[0064] Optionally, the determination module is specifically configured to:

[0065] According to the historical safety monitoring results corresponding to the historical monitoring data, divide the historical monitoring data into a normal data set and an abnormal data set;

[0066] According to the critical information characterized by the normal data set and the abnormal data set, determine the influence degree of each of the influence values on the voltage difference of the battery to be tested;

[0067] Quantify the influence degree of each of the influence values on the voltage difference of the battery to be tested into a corresponding proportionality factor to obtain the proportionality factor corresponding to each of the influence values.

[0068] A third aspect of the present application provides an electronic device, including: at least one processor and a memory;

[0069] The memory stores computer execution instructions;

[0070] The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the method described in the first aspect above and various possible designs of the first aspect.

[0071] The fourth aspect of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the method described in the first aspect above and various possible designs of the first aspect is implemented.

[0072] The technical solution of the present application has the following advantages:

[0073] The present application provides a battery safety monitoring method, device, electronic device and storage medium. The method includes: obtaining the current state data and factory information of the battery to be tested; analyzing the current state data and factory information to determine the influence value of multiple state indicators of the battery to be tested on the battery pressure difference; determining the pressure difference safety threshold of the battery to be tested according to the influence value of multiple state indicators on the battery pressure difference; and determining the safety monitoring result of the battery to be tested according to the magnitude relationship between the measured current pressure difference value of the battery to be tested and the pressure difference safety threshold. The method provided by the above solution determines the corresponding pressure difference safety threshold dynamically according to the actual state data of the battery to be tested, and then determines the safety monitoring result of the battery to be tested by comparing the measured pressure difference value with the pressure difference safety threshold, improving the battery safety monitoring efficiency, being able to detect the abnormality of the battery in the first time, and laying a foundation for improving the safety of the battery. Description of the Drawings

[0074] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings.

[0075] Figure 1 It is a schematic structural diagram of the battery safety monitoring system based on the embodiment of the present application;

[0076] Figure 2 It is a schematic flowchart of the battery safety monitoring method provided by the embodiment of the present application;

[0077] Figure 3 It is a schematic flowchart of an exemplary battery safety monitoring method provided by the embodiment of the present application;

[0078] Figure 4 It is a schematic structural diagram of the battery safety monitoring device provided by the embodiment of the present application;

[0079] Figure 5 It is a schematic structural diagram of the electronic device provided by the embodiment of the present application.

[0080] Through the above-mentioned accompanying drawings, specific embodiments of the present application have been shown, and there will be a more detailed description hereinafter. These drawings and the textual description are not intended to limit the scope of the disclosed concept in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. Detailed Embodiments

[0081] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0082] In addition, terms such as "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. In the description of the following embodiments, "a plurality of" means two or more unless otherwise specifically defined.

[0083] In the prior art, usually, relevant technical personnel determine the safety test results of the battery based on their relevant experience and the historical operation data of new energy vehicles. However, the manual analysis process is rather cumbersome, unable to ensure the efficiency of battery safety monitoring, and unable to detect battery anomalies in a timely manner, which is not conducive to ensuring battery safety.

[0084] In view of the above problems, the battery safety monitoring method, device, electronic device, and storage medium provided by the embodiments of the present application obtain the current state data and factory information of the battery to be tested; analyze the current state data and factory information to determine the influence values of multiple state indicators of the battery to be tested on the battery pressure difference; determine the pressure difference safety threshold of the battery to be tested according to the influence values of multiple state indicators on the battery pressure difference; and determine the safety monitoring result of the battery to be tested according to the magnitude relationship between the measured current pressure difference value of the battery to be tested and the pressure difference safety threshold. The method provided by the above solution dynamically determines the corresponding pressure difference safety threshold according to the actual state data of the battery to be tested, and then determines the safety monitoring result of the battery to be tested by comparing the measured pressure difference value with the pressure difference safety threshold, improving the efficiency of battery safety monitoring, being able to detect battery anomalies in a timely manner, and laying a foundation for improving battery safety.

[0085] The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0086] First, the structure of the battery safety monitoring system on which this application is based will be described:

[0087] The battery safety monitoring method, device, electronic device, and storage medium provided by the embodiments of this application are applicable to the safety monitoring of in-vehicle batteries of new energy vehicles. As Figure 1 shown, it is a schematic structural diagram of the battery safety monitoring system based on the embodiments of this application, mainly including the battery under test, a data acquisition device, and a battery safety monitoring device for performing safety monitoring on the battery. Specifically, the data acquisition device can be used to collect the current state data and factory information of the battery under test and send them to the battery safety monitoring device, and the battery safety monitoring device performs corresponding safety monitoring on the battery under test according to the obtained data.

[0088] The embodiments of this application provide a battery safety monitoring method for performing safety monitoring on in-vehicle batteries of new energy vehicles. The execution subject of the embodiments of this application is an electronic device, such as an in-vehicle controller and other electronic devices that can be used to perform safety monitoring on in-vehicle batteries.

[0089] As Figure 2 shown, it is a schematic flowchart of the battery safety monitoring method provided by the embodiments of this application, and this method includes:

[0090] Step 201, obtain the current state data and factory information of the battery under test.

[0091] Among them, the current state data can be battery temperature, voltage, current, state of charge (abbreviated as: SOC), state of health (abbreviated as: SOH), vehicle speed, etc., and the usage and operating status of the battery can be understood from different perspectives and multi-dimensions based on these data. The factory information includes various attribute information of the battery under test, such as the correspondence relationship between different state indicators, etc.

[0092] Step 202, analyze the current state data and factory information to determine the influence values of multiple state indicators of the battery under test on the battery voltage difference.

[0093] Specifically, by analyzing the current state data and factory information of the battery under test, multiple state indicators that affect the battery voltage difference can be located, and then the influence values of different state indicators on the battery voltage difference can be determined.

[0094] Among them, the influence value specifically refers to the amount of battery voltage difference that can be caused, such as 0.3V, 0.2V, etc., and this influence value can include the influence value of the current internal resistance consistency difference, the influence value of the current capacity consistency difference, the influence value of the current cell temperature, and the influence value of the current battery aging.

[0095] Step 203: Determine the differential voltage safety threshold of the battery under test based on the influence values of multiple state indicators on the battery differential voltage.

[0096] Specifically, based on a preset differential voltage safety threshold estimation model, comprehensively consider the influence values of the current multiple state indicators on the battery differential voltage to determine the differential voltage safety threshold of the battery under test.

[0097] Step 204: Determine the safety monitoring result of the battery under test according to the magnitude relationship between the measured current differential voltage value of the battery under test and the differential voltage safety threshold.

[0098] It should be noted that the current state data may include the current highest cell voltage and the current lowest cell voltage of the battery under test, and then the difference between the current highest cell voltage and the current lowest cell voltage is determined as the measured current differential voltage value.

[0099] Specifically, when the measured current differential voltage value of the battery under test is greater than or equal to the differential voltage safety threshold, determine that the safety monitoring result of the battery under test is abnormal, and at this time, corresponding warnings will be issued to help reduce the incidence of safety accidents.

[0100] Based on the above embodiments, as an implementable manner, in one embodiment, when the influence value includes the current internal resistance consistency difference influence value, analyze the current state data and the factory information to determine the influence values of multiple state indicators of the battery under test on the battery differential voltage, including:

[0101] Step 2021: Extract the factory data of the cell internal resistance from the factory information.

[0102] Step 2022: Determine the average value of the cell DC internal resistance and the standard deviation of the cell internal resistance of the battery under test when the cells leave the production line according to the factory data of the cell internal resistance.

[0103] Step 2023: Determine the cell internal resistance difference rate of the battery under test according to the average value of the cell DC internal resistance and the standard deviation of the cell internal resistance.

[0104] Step 2024: Determine the current internal resistance consistency difference influence value according to the current current, the average value of the cell DC internal resistance, and the cell internal resistance difference rate characterized by the current state data.

[0105] It should be noted that the factory data of the cell internal resistance indicates that the cell DC internal resistance when the cells leave the production line follows a normal distribution. Specifically, based on probability statistics methods, determine the average value of the cell DC internal resistance and the standard deviation of the cell internal resistance of the battery under test when the cells leave the production line.

[0106] Specifically, the cell internal resistance difference rate of the battery under test specifically refers to the internal resistance abnormality rate of the cells in the initial state of their life. Among them, the cell internal resistance difference rate σ rRepresents the average value of the DC internal resistance of the battery cell, R avg Represents the standard deviation of the internal resistance of the battery cell.

[0107] Among them, the current internal resistance consistency difference influence value = I * {[R avg *(1 + K r )] - [R avg *(1 - K r )]} = 2I * R avg * K r , where I represents the current current.

[0108] Correspondingly, in an embodiment, when the influence value includes the current capacity consistency difference influence value, the battery cell capacity factory data can be extracted from the factory information; according to the battery cell capacity factory data, the average value of the battery cell capacity and the standard deviation of the battery cell capacity when the battery under test is off the production line are determined; according to the average value of the battery cell capacity and the standard deviation of the battery cell capacity, the state of charge difference rate of the battery cell is determined; based on the parameter comparison table characterized by the factory information, according to the current state of charge and the state of charge difference rate of the battery cell characterized by the current state data, the open circuit voltage information of the battery cell of the battery under test is determined; according to the open circuit voltage information of the battery cell, the current capacity consistency difference influence value is determined.

[0109] Similarly, the battery cell capacity factory data characterizes that the DC capacity of the battery cell when it is off the production line follows a normal distribution, and based on the probability statistical method, the average value of the DC capacity of the battery cell and the standard deviation of the battery cell capacity when the battery under test is off the production line can be determined.

[0110] Specifically, the battery cell capacity difference rate of the battery under test specifically refers to the capacity abnormality rate of the battery cell in the initial state of its life. Among them, the state of charge difference rate of the battery cell σ c represents the average value of the battery cell capacity, C avg represents the standard deviation of the battery cell capacity, and the state of charge SOC is a state parameter of the battery cell capacity.

[0111] Furthermore, with reference to the parameter comparison table of the battery under test characterized by the factory information, the open circuit voltage of the battery cell with an upper deviation of K SOC and the open circuit voltage of the battery cell with a lower deviation of K at the current state of charge and average temperature of the battery cell can be determined SOC and the open circuit voltage of the battery cell The open circuit voltage information of the battery cell includes and

[0112] Among them,

[0113] Similarly, in one embodiment, when the influence value includes the current cell temperature influence value, according to the parameter comparison table characterized by the factory information, based on the highest cell temperature and the lowest cell temperature characterized by the current state data, the highest-temperature cell DC internal resistance and the lowest-temperature cell DC internal resistance corresponding to the battery under test at the current state of charge can be determined; based on the current current, the highest-temperature cell DC internal resistance, and the lowest-temperature cell DC internal resistance characterized by the current state data, the current cell temperature influence value can be determined.

[0114] Specifically, during vehicle operation, the current temperature of each cell in the battery under test can be collected and used as part of the current state data, and then the highest cell temperature T max and the lowest cell temperature T min can be located. Further, based on the relationship between the cell temperature and the cell DC internal resistance characterized by the parameter comparison table, the highest-temperature cell DC internal resistance corresponding to the highest cell temperature of the cell under test at the current state of charge can be determined and the lowest-temperature cell DC internal resistance corresponding to the lowest cell temperature of the cell under test

[0115] where I represents the current current.

[0116] Similarly, in one embodiment, when the influence value includes the current battery aging influence value, the historical state data of the battery under test can be obtained; based on the historical state data, the change rate of the dynamic voltage difference of the battery under test with respect to the cumulative charge and discharge amount can be determined; based on the current cumulative charge and discharge amount of the battery under test and the change rate of the dynamic voltage difference with respect to the cumulative charge and discharge amount characterized by the current state data, the current battery aging influence value can be determined.

[0117] It should be noted that as the battery life decays, the consistency difference of the cells gradually increases, and a functional relationship between the dynamic voltage difference and the battery cumulative charge and discharge amount can be established based on the historical state data of the battery under test.

[0118] Specifically, using the corresponding relationship between the dynamic voltage difference at the end of the life cycle discharge characterized by the historical state data and the cumulative charge and discharge amount of the battery under test, the change rate of the dynamic voltage difference of the battery under test with respect to the cumulative charge and discharge amount can be determined ΔV represents the dynamic voltage difference, and E test represents the cumulative charge and discharge amount.

[0119] where E real represents the current cumulative charge and discharge amount.

[0120] Based on the above embodiments, since different influence values have different degrees of influence on the voltage difference of the battery under test, in order to further improve the reliability of the determined voltage difference safety threshold, as an implementable method, in one embodiment, according to the influence values generated by multiple state indicators on the battery voltage difference, the voltage difference safety threshold of the battery under test is determined, including:

[0121] Step 2031, obtain the historical monitoring data of the battery under test;

[0122] Step 2032, determine the proportionality factor corresponding to each influence value according to the degree of influence of each influence value characterized by the historical monitoring data on the voltage difference of the battery under test;

[0123] Step 2033, determine the voltage difference safety threshold of the battery under test according to the sum of the products of each influence value and the corresponding proportionality factor.

[0124] Among them, the historical monitoring data of the historical battery under test includes historical state data and corresponding safety monitoring results.

[0125] Specifically, the voltage difference safety threshold ΔV of the battery under test can be determined according to the following formula safe :

[0126]

[0127] Among them, η r represents the proportionality factor corresponding to the influence value of the internal resistance consistency difference, η sOC represents the proportionality factor corresponding to the influence value of the capacity consistency difference, η ΔT represents the proportionality factor corresponding to the influence value of the cell temperature, η soH represents the proportionality factor corresponding to the influence value of the battery aging.

[0128] Specifically, in one embodiment, the historical monitoring data can be divided into a normal data set and an abnormal data set according to the historical safety monitoring results corresponding to the historical monitoring data; according to the critical information characterized by the normal data set and the abnormal data set, determine the degree of influence of each influence value on the voltage difference of the battery under test; quantify the degree of influence of each influence value on the voltage difference of the battery under test into the corresponding proportionality factor to obtain the proportionality factor corresponding to each influence value.

[0129] Specifically, a preset linear regression model can be used to train the normal data set and the abnormal data set to determine the corresponding boundary information, and then determine and quantify the degree of influence of each influence value on the voltage difference of the battery under test to obtain the proportionality factor corresponding to each influence value. Among them, the magnitude relationship of each proportionality factor at the starting state of the battery life is: η SOH < η ΔT < η SOC < η r, in the battery life termination state, the magnitude relationship of each scaling factor is: η ΔT <η SOC <η r <η SOH 。

[0130] To further improve the reliability of the determined differential pressure safety threshold, the embodiments of the present application provide the following value ranges for the scaling factors: η r ∈[0.5216, 0.7234], η SOC ∈[0.4568, 0.5432], η ΔT ∈[0.2018, 0.2368], η SOH ∈[0.1298, 0.6365].

[0131] Among them, the linear regression model is a statistical analysis method that uses regression analysis in mathematical statistics to determine the quantitative relationship of interdependence between two or more variables. In regression analysis, only one independent variable and one dependent variable are included, and the relationship between the two can be approximately represented by a straight line. This kind of regression analysis is called univariate linear regression analysis. If the regression analysis includes two or more independent variables and the relationship between the dependent variable and the independent variables is linear, it is called multiple linear regression analysis.

[0132] Exemplarily, as Figure 3 shown, it is a schematic flowchart of an exemplary battery safety monitoring method provided by the embodiments of the present application. Specifically, a corresponding differential pressure safety threshold estimation model can be constructed based on the above differential pressure safety threshold calculation formula, and the current current I, the highest cell temperature T max , the lowest cell temperature T min , the current state of charge SOC, and the current cumulative charge and discharge amount E real in the current state data of the battery to be measured are used as model inputs and input into the differential pressure safety threshold estimation model to calculate the current differential pressure safety threshold ΔV safe of the battery to be measured in real time. Furthermore, according to the difference between the current highest cell voltage V max and the current lowest cell voltage V min , the current measured differential pressure value is determined. If the current measured differential pressure value is greater than or equal to the differential pressure safety threshold, corresponding big data warnings are issued. Otherwise, the state data of the next moment is input to continuously monitor the battery to be measured in real time.

[0133] The battery safety monitoring method provided by the embodiments of the present application obtains the current state data and factory information of the battery to be tested; analyzes the current state data and factory information to determine the influence values of multiple state indicators of the battery to be tested on the battery voltage difference; determines the voltage difference safety threshold of the battery to be tested according to the influence values of multiple state indicators on the battery voltage difference; and determines the safety monitoring result of the battery to be tested according to the magnitude relationship between the measured value of the current voltage difference of the battery to be tested and the voltage difference safety threshold. The method provided by the above solution dynamically determines the corresponding voltage difference safety threshold according to the actual state data of the battery to be tested, and then determines the safety monitoring result of the battery to be tested by comparing the measured value of the voltage difference and the voltage difference safety threshold, improving the battery safety monitoring efficiency, being able to detect the abnormality of the battery in the first time, and laying a foundation for improving the safety of the battery.

[0134] The embodiments of the present application provide a battery safety monitoring device for performing the battery safety monitoring method provided by the above embodiments.

[0135] As Figure 4 shown, it is a schematic structural diagram of the battery safety monitoring device provided by the embodiments of the present application. The battery safety monitoring device 40 includes: an acquisition module 401, an analysis module 402, a determination module 403, and a monitoring module 404.

[0136] Among them, the acquisition module is used to acquire the current state data and factory information of the battery to be tested; the analysis module is used to analyze the current state data and factory information to determine the influence values of multiple state indicators of the battery to be tested on the battery voltage difference; the determination module is used to determine the voltage difference safety threshold of the battery to be tested according to the influence values of multiple state indicators on the battery voltage difference; the monitoring module is used to determine the safety monitoring result of the battery to be tested according to the magnitude relationship between the measured value of the current voltage difference of the battery to be tested and the voltage difference safety threshold.

[0137] Specifically, in one embodiment, the influence value includes the influence value of the current internal resistance consistency difference. The analysis module is specifically used for:

[0138] Extract the factory data of the cell internal resistance from the factory information;

[0139] Determine the average value of the cell DC internal resistance and the standard deviation of the cell internal resistance of the battery to be tested when the cells are off the production line according to the factory data of the cell internal resistance;

[0140] Determine the cell internal resistance difference rate of the battery to be tested according to the average value of the cell DC internal resistance and the standard deviation of the cell internal resistance;

[0141] Determine the influence value of the current internal resistance consistency difference according to the current current characterized by the current state data, the average value of the cell DC internal resistance, and the cell internal resistance difference rate.

[0142] Specifically, in one embodiment, the influence value includes the influence value of the current capacity consistency difference. The analysis module is specifically configured to:

[0143] Extract the cell capacity factory data from the factory information;

[0144] According to the cell capacity factory data, determine the average cell capacity and the standard deviation of the cell capacity when the battery under test is off the production line;

[0145] According to the average cell capacity and the standard deviation of the cell capacity, determine the state of charge difference rate of the cells;

[0146] Based on the parameter comparison table represented by the factory information, according to the current state of charge and the state of charge difference rate of the cells represented by the current state data, determine the open-circuit voltage information of the cells of the battery under test;

[0147] According to the open-circuit voltage information of the cells, determine the influence value of the current capacity consistency difference.

[0148] Specifically, in one embodiment, the influence value includes the influence value of the current cell temperature. The analysis module is specifically configured to:

[0149] Based on the parameter comparison table represented by the factory information, according to the highest cell temperature and the lowest cell temperature of the cells represented by the current state data, determine the DC internal resistance of the highest-temperature cells and the DC internal resistance of the lowest-temperature cells corresponding to the battery under test in the current state of charge;

[0150] According to the current current, the DC internal resistance of the highest-temperature cells, and the DC internal resistance of the lowest-temperature cells represented by the current state data, determine the influence value of the current cell temperature.

[0151] Specifically, in one embodiment, the influence value includes the influence value of the current battery aging. The analysis module is specifically configured to:

[0152] Obtain the historical state data of the battery under test;

[0153] According to the historical state data, determine the change rate of the dynamic voltage difference of the battery under test with respect to the cumulative charge and discharge amount;

[0154] According to the current cumulative charge and discharge amount of the battery under test and the change rate of the dynamic voltage difference with respect to the cumulative charge and discharge amount represented by the current state data, determine the influence value of the current battery aging.

[0155] Specifically, in one embodiment, the determination module is specifically configured to:

[0156] Obtain the historical monitoring data of the battery under test;

[0157] According to the influence degree of each influence value on the voltage difference of the battery under test represented by the historical monitoring data, determine the proportionality factor corresponding to each influence value;

[0158] Determine the differential pressure safety threshold of the battery under test according to the product sum of each influence value and the corresponding proportionality factor.

[0159] Specifically, in one embodiment, the determining module is specifically configured to:

[0160] Divide the historical monitoring data into a normal data set and an abnormal data set according to the historical safety monitoring results corresponding to the historical monitoring data;

[0161] Determine the degree of influence of each influence value on the differential pressure of the battery under test according to the critical information characterized by the normal data set and the abnormal data set;

[0162] Quantify the degree of influence of each influence value on the differential pressure of the battery under test into a corresponding proportionality factor to obtain the proportionality factor corresponding to each influence value.

[0163] Regarding the battery safety monitoring device in this embodiment, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0164] The battery safety monitoring device provided by the embodiments of the present application is used to execute the battery safety monitoring method provided by the above embodiments, and its implementation manner and principle are the same, and will not be repeated.

[0165] The embodiments of the present application provide an electronic device for executing the battery safety monitoring method provided by the above embodiments.

[0166] As Figure 5 shown, it is a schematic structural diagram of the electronic device provided by the embodiments of the present application. The electronic device 50 includes: at least one processor 51 and a memory 52.

[0167] The memory stores computer-executable instructions; at least one processor executes the computer-executable instructions stored in the memory, so that at least one processor executes the battery safety monitoring method provided by the above embodiments.

[0168] The electronic device provided by the embodiments of the present application is used to execute the battery safety monitoring method provided by the above embodiments, and its implementation manner and principle are the same, and will not be repeated.

[0169] The embodiments of the present application provide a computer-readable storage medium, in which computer-executable instructions are stored. When the processor executes the computer-executable instructions, the battery safety monitoring method provided by any of the above embodiments is implemented.

[0170] The storage medium containing computer-executable instructions provided by the embodiments of the present application can be used to store the computer-executable instructions of the battery safety monitoring method provided in the foregoing embodiments, and its implementation manner and principle are the same, and will not be repeated.

[0171] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms.

[0172] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0173] In addition, each functional unit in various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of a combination of hardware and software functional units.

[0174] The above-mentioned integrated units implemented in the form of software functional units can be stored in a computer-readable storage medium. The above-mentioned software functional units stored in a storage medium include several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute some steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0175] Those skilled in the art can clearly understand that for the convenience and brevity of description, only the above-mentioned division of each functional module is used as an example for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above can refer to the corresponding process in the foregoing method embodiments and will not be repeated here.

[0176] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A battery safety monitoring method, characterized in that, comprising: Obtaining the current status data and factory information of the battery to be tested; Analyzing the current status data and factory information to determine the influence values of multiple status indicators of the battery to be tested on the battery voltage difference; Determining the voltage difference safety threshold of the battery to be tested according to the influence values of the multiple status indicators on the battery voltage difference; Determining the safety monitoring result of the battery to be tested according to the magnitude relationship between the measured current voltage difference value of the battery to be tested and the voltage difference safety threshold; The influence value includes the current internal resistance consistency difference influence value. Analyzing the current status data and factory information to determine the influence values of multiple status indicators of the battery to be tested on the battery voltage difference includes: Extracting the factory data of the internal resistance of the battery cells from the factory information; Determining the average value of the DC internal resistance of the battery cells and the standard deviation of the internal resistance of the battery cells when the battery cells are off the production line according to the factory data of the internal resistance of the battery cells; Determining the internal resistance difference rate of the battery cells of the battery to be tested according to the average value of the DC internal resistance of the battery cells and the standard deviation of the internal resistance of the battery cells; Determining the current internal resistance consistency difference influence value according to the current current represented by the current status data, the average value of the DC internal resistance of the battery cells and the internal resistance difference rate.

2. The method according to claim 1, characterized in that, The influence value includes the current capacity consistency difference influence value. Analyzing the current status data and factory information to determine the influence values of multiple status indicators of the battery to be tested on the battery voltage difference includes: Extracting the factory data of the capacity of the battery cells from the factory information; Determining the average value of the capacity of the battery cells and the standard deviation of the capacity of the battery cells when the battery cells are off the production line according to the factory data of the capacity of the battery cells; Determining the state of charge difference rate of the battery cells according to the average value of the capacity of the battery cells and the standard deviation of the capacity of the battery cells; According to the parameter comparison table represented by the factory information, determining the open circuit voltage information of the battery cells of the battery to be tested according to the current state of charge of the battery cells represented by the current status data and the state of charge difference rate; Determining the current capacity consistency difference influence value according to the open circuit voltage information of the battery cells.

3. The method according to claim 1, characterized in that, The influence value includes the current battery cell temperature influence value. Analyzing the current status data and factory information to determine the influence values of multiple status indicators of the battery to be tested on the battery voltage difference includes: According to the parameter comparison table represented by the factory information, determining the DC internal resistance of the highest temperature battery cell and the DC internal resistance of the lowest temperature battery cell corresponding to the battery to be tested under the current state of charge according to the highest temperature of the battery cells and the lowest temperature of the battery cells represented by the current status data; Determining the current battery cell temperature influence value according to the current current represented by the current status data, the DC internal resistance of the highest temperature battery cell and the DC internal resistance of the lowest temperature battery cell.

4. The method according to claim 1, characterized in that, The influence value includes the current battery aging influence value. Analyzing the current status data and factory information to determine the influence values of multiple status indicators of the battery to be tested on the battery voltage difference includes: Obtaining the historical status data of the battery to be tested; Determine the change rate of the dynamic pressure difference of the battery under test with respect to the cumulative charge and discharge amount according to the historical state data; Determine the current battery aging influence value according to the current cumulative charge and discharge amount of the battery under test characterized by the current state data and the change rate of the dynamic pressure difference with respect to the cumulative charge and discharge amount.

5. The method according to claim 1, wherein, determining the pressure difference safety threshold of the battery under test according to the influence values of the battery pressure difference generated by the multiple state indicators includes: Obtain the historical monitoring data of the battery under test; Determine the proportionality factor corresponding to each influence value according to the degree of influence of each influence value characterized by the historical monitoring data on the pressure difference of the battery under test; Determine the pressure difference safety threshold of the battery under test according to the sum of the products of each influence value and the corresponding proportionality factor.

6. The method according to claim 5, wherein, determining the proportionality factor corresponding to each influence value according to the degree of influence of each influence value characterized by the historical monitoring data on the pressure difference of the battery under test includes: Divide the historical monitoring data into a normal data set and an abnormal data set according to the historical safety monitoring results corresponding to the historical monitoring data; Determine the degree of influence of each influence value on the pressure difference of the battery under test according to the critical information characterized by the normal data set and the abnormal data set; Quantify the degree of influence of each influence value on the pressure difference of the battery under test into a corresponding proportionality factor to obtain the proportionality factor corresponding to each influence value.

7. A battery safety monitoring device, wherein, comprising: An acquisition module for acquiring the current state data and factory information of the battery under test; An analysis module for analyzing the current state data and factory information to determine the influence values of multiple state indicators of the battery under test on the battery pressure difference; A determination module for determining the pressure difference safety threshold of the battery under test according to the influence values of the multiple state indicators on the battery pressure difference; A monitoring module for determining the safety monitoring result of the battery under test according to the magnitude relationship between the measured value of the current pressure difference of the battery under test and the pressure difference safety threshold; The influence value includes the current internal resistance consistency difference influence value, and the analysis module is specifically configured to: Extract the factory data of the internal resistance of the battery cells from the factory information; Determine the average value of the DC internal resistance of the battery cells and the standard deviation of the internal resistance of the battery cells when the battery under test is off the production line according to the factory data of the internal resistance of the battery cells; Determine the internal resistance difference rate of the battery under test according to the average value of the DC internal resistance of the battery cells and the standard deviation of the internal resistance of the battery cells; Determine the current internal resistance consistency difference influence value according to the current current characterized by the current state data, the average value of the DC internal resistance of the battery cells, and the internal resistance difference rate.

8. An electronic device, wherein, comprising: At least one processor and a memory; The memory stores computer execution instructions; The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, wherein, The computer-readable storage medium stores computer-executable instructions, and when the processor executes the computer-executable instructions, the method described in any one of claims 1 to 6 is implemented.

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