A method for analyzing and managing the state of health of a lithium battery pack and related devices

Abstract

The application discloses a kind of health state analysis management and control method of lithium battery pack and related device, it is related to data analysis technical field, the method includes: based on data verification method acquisition lithium battery pack under different mode monitoring data;Monitoring data is pretreated;Based on the monitoring data, the safety state analysis of lithium battery pack under different mode is carried out, and safety state analysis result is obtained;Based on the monitoring data, the calibration actual capacity of lithium battery pack is calculated, and the target residual capacity of lithium battery pack under different mode is calculated based on open-circuit voltage-ampere integral method;Based on the safety state analysis result of lithium battery pack under different mode, calibration actual capacity and target residual capacity combine the monitoring data to determine corresponding control strategy;Based on control strategy, lithium battery pack under different mode is balanced and protected processing.The application can effectively manage the health state of lithium battery pack, to improve the service life and energy utilization of lithium battery pack.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data analysis, in particular to a health state analysis and management method of a lithium battery pack and a related device. BACKGROUND

[0002] Nowadays, the society is developed in transportation, and the electric vehicle has become a daily transportation tool for people. It not only can zero pollution emission, but also has fast power promotion and low power consumption cost. At the same time, due to the advantages of high energy density, low self-discharge rate, small pollution, long cycle life of lithium battery, and the gradual reduction of manufacturing process cost in recent years, lithium battery is widely used in electric vehicles. In order to meet the voltage and power requirements of electric vehicles, multiple single lithium batteries are usually used in series and parallel, and in order to use the lithium battery pack healthily, the health state of the lithium battery pack needs to be managed. At present, in the health state management of the lithium battery pack, only the data collection and analysis and the health state management of the lithium battery pack in the charging mode are usually carried out, the health state of the lithium battery pack in various modes cannot be comprehensively managed, which leads to the difficulty in realizing the multi-directional protection of the lithium battery pack. The calculation of the remaining capacity of the battery is also an important part of the health state management, and at present, the remaining capacity of the battery is usually calculated by the open circuit voltage method or the ampere-hour integration method. The remaining capacity of the battery calculated by the open circuit voltage method or the ampere-hour integration method will have a large deviation from the actual situation, and the error cannot be corrected alone. At the same time, how to analyze the management strategy of the lithium battery pack according to the obtained data is also an important link of the health management of the lithium battery pack. If this link is ignored, the performance and service life of the lithium battery pack will be seriously affected. SUMMARY

[0003] The purpose of the present application is to overcome the shortcomings of the prior art, and the present application provides a health state analysis and management method of a lithium battery pack and a related device, which can effectively manage the health state of the lithium battery pack, thereby improving the service life and energy utilization rate of the lithium battery pack.

[0004] In order to solve the above technical problems, the present application provides a health state analysis and management method of a lithium battery pack, which is applied to a lithium battery pack and a battery management system of an electric vehicle; the method comprises:

[0005] The battery management system collects monitoring data of the lithium battery pack in different modes based on a data verification method;

[0006] The monitoring data is preprocessed to obtain preprocessed monitoring data;

[0007] Based on the preprocessed monitoring data, the safety state analysis of the lithium battery pack in different modes is carried out to obtain a safety state analysis result;

[0008] The calibration actual capacity of the lithium battery pack is calculated based on the preprocessed monitoring data by using the temperature capacity coefficient, and the target residual capacity of the lithium battery pack in different modes is calculated based on the open circuit voltage-ampere hour integral method;

[0009] The corresponding management strategy is determined based on the safety state analysis result, the calibration actual capacity and the target residual capacity of the lithium battery pack in different modes in combination with the preprocessed monitoring data;

[0010] The lithium battery pack in different modes is balanced and protected based on the management strategy.

[0011] Optionally, the monitoring data of the lithium battery pack in different modes is collected based on the data verification method, including:

[0012] The battery management system performs read-write configuration of the voltage collection register based on device address verification;

[0013] The single battery voltage collection instruction is issued based on the read-write configuration by using analog-digital conversion and data verification, the single battery voltage of the lithium battery pack in different modes is obtained, and the corresponding lithium battery pack voltage is generated based on the single battery voltage, the different modes including standby mode, charging mode and discharging mode;

[0014] The analog quantity generated by the sampling resistor is sampled and converted to obtain the current of the lithium battery pack in different modes;

[0015] The current temperature of the lithium battery pack in different modes read is compared with the temperature at the previous moment, the target temperature is determined based on the comparison result, and the target temperature is calibrated based on the proportional coefficient to obtain the calibrated target temperature, and the monitoring data of the lithium battery pack is composed of the single battery voltage, the lithium battery pack voltage, the lithium battery pack current and the calibrated target temperature.

[0016] Optionally, the preprocessed monitoring data is obtained by preprocessing the monitoring data, including:

[0017] The preprocessed monitoring data is obtained by standardizing and integrating the monitoring data.

[0018] Optionally, the safety state analysis result is obtained by analyzing the safety state of the lithium battery pack in different modes based on the preprocessed monitoring data, including:

[0019] In the discharging mode / charging mode, the lithium battery pack current in the preprocessed monitoring data is compared with the preset overcurrent protection threshold to obtain a comparison result, and the overcurrent analysis result of the lithium battery is obtained based on the comparison result;

[0020] In the discharging mode / charging mode, the calibration target temperature in the pre-processed monitoring data is compared with the preset over-temperature threshold and the preset low-temperature threshold respectively, corresponding comparison results are obtained, over-temperature analysis and low-temperature analysis of the lithium battery are performed based on the corresponding comparison results, and over-temperature analysis results and low-temperature analysis results are obtained. The over-current analysis results, the over-temperature analysis results and the low-temperature analysis results constitute the safety state analysis results.

[0021] Optionally, the calibration actual capacity of the lithium battery pack is calculated based on the pre-processed monitoring data using the temperature capacity coefficient, comprising:

[0022] The calibration actual capacity of the lithium battery pack is calculated based on the calibration target temperature in the pre-processed monitoring data using the temperature capacity coefficient, and the calculation expression of the calibration actual capacity is:

[0023]

[0024] Wherein, RL is the calibration actual capacity, BL is the nominal capacity of the lithium battery pack, σ is the temperature capacity coefficient, and T is the calibration target temperature.

[0025] Optionally, the target residual capacity of the lithium battery pack in different modes is calculated based on the open circuit voltage-ampere hour integral method, comprising:

[0026] The initial state of charge is calculated based on the open circuit voltage method, and the calculation expression of the initial state of charge is:

[0027] OCV SOC = index*10+((SocOcvTab[index]-voltage)*10) /

[0028] (SocOcvTab[index]-SocOcvTab[index+1]),

[0029] BMSCAP OCV-SOC = MR*OCV SOC ,

[0030] Wherein, OCV SOC is the state of charge capacity percentage, SocOcvTab[] is the lithium battery pack state of charge corresponding voltage table, index is the initial point, voltage is the open circuit voltage, BMSCAP OCV-SOC is the initial state of charge, and MR is the full capacity of the lithium battery pack.

[0031] The first target residual capacity of the lithium battery pack in the charging mode is calculated based on the initial state of charge using the ampere hour integral method, and the calculation expression of the first target residual capacity is:

[0032]

[0033] BMSCAP AHOCV-SOC-C1 is the first target remaining capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from the t0 period to the t period in the charging mode;

[0034] calculating the second target remaining capacity of the lithium battery pack in the discharging mode based on the initial state of charge by using the ampere-hour integral method, and the calculation expression of the second target remaining capacity is:

[0035]

[0036] BMSCAP AHOCV-SOC-C2 is the second target remaining capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from the t0 period to the t period in the discharging mode.

[0037] Optionally, the corresponding management and control strategy is determined based on the analysis result of the safety state of the lithium battery pack in different modes, the calibrated actual capacity and the target remaining capacity in combination with the preprocessed monitoring data, and the management and control strategy includes:

[0038] determining the battery safety control strategy based on the overcurrent analysis result, the overtemperature analysis result and the low-temperature analysis result of the lithium battery in the discharging mode / charging mode;

[0039] determining the battery charging and discharging management strategy based on the calibrated actual capacity and the target remaining capacity of the lithium battery pack in different modes;

[0040] determining the battery equalization strategy based on the single battery voltage of the lithium battery pack in different modes in combination with the preset equalization voltage difference, and determining the management and control strategy based on the battery safety control strategy, the charging and discharging management strategy and the battery equalization strategy.

[0041] Optionally, the lithium battery pack in different modes is subjected to equalization and protection processing based on the management and control strategy, and the equalization and protection processing includes:

[0042] subjecting the lithium battery pack in different modes to charging overcurrent protection, charging overtemperature protection, charging low-temperature protection, discharging low-temperature protection, discharging overtemperature protection and discharging overcurrent protection based on the battery safety control strategy in the management and control strategy;

[0043] subjecting the lithium battery pack in different modes to overcharging and overdischarging protection based on the charging and discharging management strategy in the management and control strategy;

[0044] subjecting the lithium battery pack in different modes to equalization management and control based on the battery equalization strategy in the management and control strategy by using the discharging flag.

[0045] In addition, the application further provides a health state analysis and control device of a lithium battery pack, which is applied to a lithium battery pack and a battery management system of an electric vehicle.

[0046] A data acquisition module is configured to acquire monitoring data of the lithium battery pack in different modes based on a data verification method by the battery management system.

[0047] A preprocessing module is configured to preprocess the monitoring data to obtain preprocessed monitoring data.

[0048] A safety state analysis module is configured to perform safety state analysis of the lithium battery pack in different modes based on the preprocessed monitoring data to obtain safety state analysis results.

[0049] A capacity calculation module is configured to calculate calibrated actual capacity of the lithium battery pack by using a temperature capacity coefficient based on the preprocessed monitoring data, and to calculate target residual capacity of the lithium battery pack in different modes based on an open-circuit voltage-ampere-hour integral method.

[0050] A strategy determination module is configured to determine a corresponding control strategy based on the safety state analysis results of the lithium battery pack in different modes, the calibrated actual capacity and the target residual capacity in combination with the preprocessed monitoring data.

[0051] An equalization protection module is configured to perform equalization and protection processing on the lithium battery pack in different modes based on the control strategy.

[0052] In addition, the application further provides a computer readable storage medium, which stores computer instructions, and when the computer instructions are run on an electronic device, the electronic device performs the health state analysis and control method of the lithium battery pack.

[0053] In the embodiment of the present application, the monitoring data of the lithium battery pack in standby mode, charging mode and discharging mode are collected based on the data verification method, which can comprehensively collect the data of the lithium battery pack in different modes, and facilitate subsequent data analysis of the lithium battery pack in different modes. Based on the pretreated monitoring data, overcurrent analysis, overtemperature analysis and low-temperature analysis of the lithium battery pack in the discharging mode / charging mode are performed, so as to achieve multi-directional safety analysis of the lithium battery pack. Based on the open-circuit voltage-ampere-hour integral method, the target residual capacity of the lithium battery pack in different modes is calculated, which not only makes up for the defect of inaccurate residual capacity estimation of the open-circuit voltage method under the battery charging and discharging working condition, but also solves the problem that the ampere-hour integral method cannot determine the initial value, so that the target residual capacity obtained is more reliable. Based on the safety state analysis results of the lithium battery pack in different modes, the calibrated actual capacity and the target residual capacity, the corresponding control strategy is determined in combination with the pretreated monitoring data to balance and protect the lithium battery pack in different modes, which can effectively manage the difference of the single battery in the lithium battery pack, greatly avoid the occurrence of overcharge, overdischarge and overcurrent of the lithium battery pack, and thus improve the service life and energy utilization rate of the lithium battery pack. BRIEF DESCRIPTION OF DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0055] Figure 1 is a flowchart of the health state analysis and control method of the lithium battery pack in the embodiment of the present application;

[0056] Figure 2 is a flowchart of the health state analysis and control method of the lithium battery pack in another embodiment of the present application;

[0057] Figure 3 is a detailed flowchart of the step S208 in the embodiment of the present application;

[0058] Figure 4 is a structural composition schematic diagram of the health state analysis and control device of the lithium battery pack in the embodiment of the present application. DETAILED DESCRIPTION

[0059] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by those ordinarily skilled in the art without creative work fall within the scope of the present application.

[0060] Embodiment one

[0061] Please refer to Figure 1 , Figure 1 is a flowchart of a health state analysis and control method of a lithium battery pack in the embodiments of the present application, the method is applied to a lithium battery pack and a battery management system of an electric vehicle; the method comprises the following steps:

[0062] S11: The battery management system collects monitoring data of the lithium battery pack in different modes based on a data verification method;

[0063] In the specific implementation process of the present application, the monitoring data of the lithium battery pack in different modes collected based on the data verification method comprises: the battery management system performs read-write configuration of a voltage collection register based on device address verification; a single battery voltage collection instruction is issued based on the read-write configuration by using analog-digital conversion and data verification, to obtain single battery voltages of the lithium battery pack in different modes, and corresponding lithium battery pack voltages are generated based on the single battery voltages, wherein the different modes include standby mode, charging mode and discharging mode; analog quantities generated by a sampling resistor are sampled and converted to obtain lithium battery pack currents in different modes; the current temperature of the lithium battery pack in different modes read is compared with the temperature at the previous moment, a target temperature is determined based on the comparison result, and the target temperature is calibrated based on a proportional coefficient to obtain a calibrated target temperature, and the monitoring data of the lithium battery pack is composed of the single battery voltages, the lithium battery pack voltages, the lithium battery pack currents and the calibrated target temperature.

[0064] Specifically, the battery management system performs read-write configuration of the voltage collection register based on device address verification, executes a voltage collection subroutine, and verifies whether the address of the battery management integrated chip is correct through a communication serial bus interface. If the address verification of the battery management integrated chip is correct, the voltage collection register is configured for read-write. Based on the read-write configuration, an analog-to-digital conversion and data verification are performed to issue a single battery voltage collection instruction. After the analog-to-digital conversion and data verification are completed, the single battery voltage collection instruction is issued to collect the voltage of each single battery in the lithium battery pack, obtain the single battery voltage of the lithium battery pack in different modes, and generate the corresponding lithium battery pack voltage based on the single battery voltage, i.e., calculate the total voltage of the lithium battery pack according to the voltage of each single battery. The different modes of the lithium battery pack include a standby mode, a charging mode, and a discharging mode. The standby mode can also be referred to as a static mode. Thus, the lithium battery pack can be reliably controlled in any mode. The analog quantity generated by the sampling resistor is sampled and converted. The analog quantity is collected by the sampling resistor of the coulomb meter, input into the analog-to-digital conversion channel for data sampling and conversion, and the lithium battery pack cell current in each mode is obtained, i.e., the lithium battery pack current in different modes is obtained. The current temperature of the lithium battery pack in different modes is compared with the temperature at the previous moment. The current temperature of the lithium battery pack in each mode is read by a temperature sensor, and it is determined whether the current temperature is within the effective range. If it is within the effective range, the current temperature is compared with the temperature at the previous moment. If it is not within the effective range, the temperature collection operation is returned to continue collecting the temperature. Based on the comparison result, the target temperature is determined, and it is calculated whether the difference between the current temperature and the temperature at the previous moment exceeds a preset difference. If the difference exceeds the preset difference, the temperature is updated, and the current temperature is taken as the target temperature. If the preset difference is not exceeded, the collection operation is returned to continue collecting the temperature, and the temperature at the previous moment is still taken as the target temperature. The target temperature is calibrated based on a proportional coefficient to obtain a calibrated target temperature. The monitoring data of the lithium battery pack is composed of the single battery voltage, the lithium battery pack voltage, the lithium battery pack current, and the calibrated target temperature.

[0065] S12: pre-processing the monitoring data to obtain pre-processed monitoring data;

[0066] In the specific implementation process of the present application, the pre-processing of the monitoring data to obtain pre-processed monitoring data includes standardization processing and data integration processing of the monitoring data to obtain pre-processed monitoring data.

[0067] Specifically, the monitoring data is standardized and data integrated, the monitoring data is standardized in format for subsequent data analysis, and the monitoring data in standby mode, discharge mode and charging mode is data classified and integrated for distinguishing the monitoring data in different modes and obtaining the preprocessed monitoring data.

[0068] S13: performing safety state analysis of the lithium battery pack in different modes based on the preprocessed monitoring data to obtain a safety state analysis result;

[0069] In the embodiment of the present application, the safety state analysis of the lithium battery pack in different modes based on the preprocessed monitoring data to obtain a safety state analysis result includes: comparing the lithium battery pack current in the preprocessed monitoring data with a preset overcurrent protection threshold in the discharge mode / charging mode to obtain a comparison result, and performing overcurrent analysis of the lithium battery based on the comparison result to obtain an overcurrent analysis result; comparing the calibration target temperature in the preprocessed monitoring data with a preset overtemperature threshold and a preset low temperature threshold respectively in the discharge mode / charging mode to obtain corresponding comparison results, and performing overtemperature analysis and low temperature analysis of the lithium battery based on the corresponding comparison results to obtain an overtemperature analysis result and a low temperature analysis result, wherein the overcurrent analysis result, the overtemperature analysis result and the low temperature analysis result constitute the safety state analysis result.

[0070] Specifically, the safety protection of the lithium battery pack is concentrated in its discharge mode and charging mode, the lithium battery pack current in the preprocessed monitoring data is compared with a preset overcurrent protection threshold in the discharge mode / charging mode to obtain a comparison result, and overcurrent analysis of the lithium battery is performed based on the comparison result to obtain an overcurrent analysis result, that is, the lithium battery pack current is compared with a preset overcurrent threshold, if the lithium battery pack current is greater than the preset overcurrent threshold, the state of the lithium battery pack is overcurrent state. The calibration target temperature in the preprocessed monitoring data is compared with a preset overtemperature threshold and a preset low temperature threshold respectively in the discharge mode / charging mode to obtain corresponding comparison results, and overtemperature analysis and low temperature analysis of the lithium battery are performed based on the corresponding comparison results to obtain an overtemperature analysis result and a low temperature analysis result, that is, the calibration target temperature is compared with a preset overtemperature threshold, if the calibration target temperature is greater than the preset overtemperature threshold, the state of the lithium battery pack is overtemperature state, the calibration target temperature is compared with a preset low temperature threshold, if the calibration target temperature is less than the preset low temperature threshold, the state of the lithium battery pack is low temperature state, and the overcurrent analysis result, the overtemperature analysis result and the low temperature analysis result constitute the safety state analysis result, the safety state of the lithium battery pack is analyzed from overcurrent, overtemperature and low temperature to achieve more comprehensive health state analysis.

[0071] S14: calculating the calibrated actual capacity of the lithium battery pack based on the preprocessed monitoring data by using the temperature capacity coefficient, and calculating the target residual capacity of the lithium battery pack in different modes based on the open circuit voltage-ampere hour integral method;

[0072] In the implementation of the present application, the step of calculating the calibrated actual capacity of the lithium battery pack based on the preprocessed monitoring data by using the temperature capacity coefficient comprises: calculating the calibrated actual capacity of the lithium battery pack based on the calibration target temperature in the preprocessed monitoring data, and the calculation expression of the calibrated actual capacity is:

[0073]

[0074] wherein, RL is the calibrated actual capacity, BL is the nominal capacity of the lithium battery pack, σ is the temperature capacity coefficient, and T is the calibration target temperature.

[0075] Further, the step of calculating the target residual capacity of the lithium battery pack in different modes based on the open circuit voltage-ampere hour integral method comprises: calculating the initial state of charge based on the open circuit voltage method, and the calculation expression of the initial state of charge is:

[0076] OCV SOC =index*10+((SocOcvTab[index]-voltage)*10) /

[0077] (SocOcvTab[index]-SocOcvTab[index+1]),

[0078] BMSCAP OCV-SOC =MR*OCV SOC ,

[0079] wherein, OCV SOC is the state of charge capacity percentage, SocOcvTab[] is the lithium battery pack state of charge corresponding voltage table, index is the initial point, voltage is the open circuit voltage, BMSCAP OCV-SOC is the initial state of charge, and MR is the full capacity of the lithium battery pack.

[0080] The step of calculating the first target residual capacity of the lithium battery pack in the charging mode based on the initial state of charge by using the ampere hour integral method comprises: calculating the first target residual capacity of the lithium battery pack in the charging mode based on the initial state of charge by using the ampere hour integral method, and the calculation expression of the first target residual capacity is:

[0081]

[0082] wherein, BMSCAP AHOCV-SOC-C1 is the first target residual capacity, BMSCAP OCV-SOC is the initial state of charge, and A curis the current value from the t0 time period to the t time period in the charging mode;

[0083] calculating a second target residual capacity of the lithium battery pack in the discharging mode based on the initial state of charge using the ampere-hour integral method, the calculation expression of the second target residual capacity is:

[0084]

[0085] wherein BMSCAP AHOCV-SOC-C2 is the second target residual capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from the t0 time period to the t time period in the discharging mode.

[0086] Specifically, the calibration actual capacity of the lithium battery pack is calculated based on the calibration target temperature in the pre-processed monitoring data using the temperature capacity coefficient. Since the internal chemical reaction rate and the electrolyte conductivity of the battery will increase with the increase of temperature, high temperature will accelerate the internal chemical reaction rate of the battery, and vice versa, low temperature will reduce the reaction rate, resulting in the decline of the battery discharge performance, thereby reducing the available capacity. Especially for lithium battery pack, low temperature will cause the reaction rate between electrode material and electrolyte to slow down, and the charge transfer will be blocked, which will significantly reduce the actual available capacity of the battery. Therefore, the actual capacity of the battery will change with the change of temperature, so the actual capacity of the battery will be affected by temperature. Therefore, the temperature capacity coefficient is added in the calculation of the actual capacity, which can make the obtained actual capacity more accurate. The calculation expression of the calibration actual capacity is:

[0087]

[0088] wherein RL is the calibration actual capacity, BL is the nominal capacity of the lithium battery pack, σ is the temperature capacity coefficient, and T is the calibration target temperature. The value of the temperature capacity coefficient is as follows:

[0089]

[0090] Battery residual capacity estimation is an important part of the battery health monitoring system. In order to avoid the situation that overcharging and overdischarging of the battery leads to the shortening of the battery life, accurate estimation of the available capacity of the lithium battery is of great significance. The initial state of charge is calculated based on the open circuit voltage method, and the calculation expression of the initial state of charge is:

[0091] OCV SOC = index * 10 + ((SocOcvTab[index] - voltage) * 10) / (SocOcvTab[index] - SocOcvTab[index + 1]),

[0092] (SocOcvTab[index] - SocOcvTab[index + 1]),

[0093] BMSCAP OCV-SOC = MR*OCV SOC ,

[0094] Wherein, OCV SOC is the state of charge percentage of electric quantity, SocOcvTab[] is the lithium battery pack state of charge corresponding voltage table, index is the initial point, voltage is the open circuit voltage, BMSCAP OCV-SOC is the initial state of charge, MR is the full capacity of lithium battery pack. Thus the decimal point of the state of charge percentage of electric quantity can be accurately calculated, so that the calculated initial state of charge is more accurate.

[0095] Based on the initial state of charge, the first target residual capacity of the lithium battery pack in the charging mode is calculated by using the ampere-hour integration method, and the calculation expression of the first target residual capacity is:

[0096]

[0097] Wherein, BMSCAP AHOCV-SOC-C1 is the first target residual capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from t0 time period to t time period in the charging mode.

[0098] Based on the initial state of charge, the second target residual capacity of the lithium battery pack in the discharging mode is calculated by using the ampere-hour integration method, and the calculation expression of the second target residual capacity is:

[0099]

[0100] Wherein, BMSCAP AHOCV-SOC-C2 is the second target residual capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from t0 time period to t time period in the discharging mode. The residual capacity calculated by this method not only can make up for the defect that the state of charge estimated by the open circuit voltage method is not accurate under the condition of battery charging and discharging, but also can solve the problem that the initial value cannot be determined by the ampere-hour integration method.

[0101] S15: Based on the safety state analysis result of the lithium battery pack in different modes, the calibrated actual capacity and the target residual capacity, the corresponding management and control strategy is determined combined with the pretreated monitoring data;

[0102] In the implementation of the present application, the safety state analysis results of the lithium battery pack in different modes, the calibrated actual capacity and the target residual capacity are combined with the preprocessed monitoring data to determine the corresponding management and control strategy, including: determining the battery safety control strategy based on the overcurrent analysis results, the overtemperature analysis results and the low-temperature analysis results of the lithium battery in the discharge mode / charge mode; determining the battery charge and discharge management strategy based on the calibrated actual capacity and the target residual capacity of the lithium battery pack in different modes; determining the battery balancing strategy based on the single battery voltage of the lithium battery pack in different modes and the preset balancing voltage difference, and determining the management and control strategy based on the battery safety control strategy, the charge and discharge management strategy and the battery balancing strategy.

[0103] Specifically, the battery safety control strategy is determined based on the overcurrent analysis results, the overtemperature analysis results and the low-temperature analysis results of the lithium battery in the discharge mode / charge mode, the disable time corresponding to the charge / discharge state is determined according to the overcurrent analysis results, the overtemperature analysis results and the low-temperature analysis results of the lithium battery in the discharge mode / charge mode, the disable time corresponding to the overcurrent state, the overtemperature state and the low-temperature state is different, and a timer is set according to the disable time. The battery charge and discharge management strategy is determined based on the calibrated actual capacity and the target residual capacity of the lithium battery pack in different modes, that is, the charging time, the charging capacity and the discharging capacity of the lithium battery pack are limited according to the calibrated actual capacity and the target residual capacity. The battery balancing strategy is determined based on the single battery voltage of the lithium battery pack in different modes and the preset balancing voltage difference, that is, the opening and closing conditions of the discharge flag bit are determined by comparing the difference between the minimum single battery voltage and the voltage of the remaining single batteries with the preset balancing voltage difference, and the management and control strategy is determined based on the battery safety control strategy, the charge and discharge management strategy and the battery balancing strategy, that is, the three together constitute the final management and control strategy.

[0104] S16: balancing and protection processing of the lithium battery pack in different modes based on the management and control strategy.

[0105] In the implementation of the present application, the balancing and protection processing of the lithium battery pack in different modes based on the management and control strategy includes: charge overcurrent protection, charge overtemperature protection, charge low-temperature protection, discharge low-temperature protection, discharge overtemperature protection and discharge overcurrent protection of the lithium battery pack in different modes based on the battery safety control strategy in the management and control strategy; overcharge and overdischarge protection of the lithium battery pack in different modes based on the charge and discharge management strategy in the management and control strategy; balancing management and control of the lithium battery pack in different modes based on the discharge flag bit in the battery balancing strategy in the management and control strategy.

[0106] Specifically, the battery safety control strategy in the management and control strategy is used to perform overcharge protection, over-discharge protection, low-temperature charging protection, low-temperature discharging protection, high-temperature discharging protection and over-current protection on the lithium battery pack in different modes. When it is judged that the lithium battery pack in the discharging mode / charging mode has overcharge, over-temperature, low-temperature charging, low-temperature discharging, high-temperature discharging or over-current, the charging mode / discharge mode of the lithium battery pack is closed according to the battery safety control strategy. The timer starts to calculate until the disable time in the battery safety control strategy is reached, and then the charging mode / discharge mode is resumed. The charge-discharge management strategy in the management and control strategy is used to perform overcharge and over-discharge protection on the lithium battery pack in different modes. When the lithium battery pack is in the discharging mode, the discharge capacity of the lithium battery pack is controlled according to the charge-discharge management strategy, but when the discharge capacity reaches the discharge capacity limit in the charge-discharge management strategy, the discharge of the lithium battery pack is stopped. When the lithium battery is in the charging mode, the charging time of the lithium battery pack is controlled according to the charge-discharge management strategy, and when the charging time of the lithium battery reaches the limit time of the charge-discharge management strategy, the charging of the lithium battery pack is stopped. The battery equalization strategy in the management and control strategy is used to perform equalization control on the lithium battery pack in different modes by using the discharge flag. In the discharging mode, the battery itself needs to provide energy to the load, so it is not suitable for equalization. In the standby state, the battery cell voltage can be accurately measured, so it is easy to find the cell that meets the equalization condition for equalization. In the charging mode, the system can judge whether the difference between the highest and lowest cell voltages meets the equalization condition. If the condition is met, the equalization is started and the charging speed of the highest voltage cell is inhibited. In this regard, when the battery is in the discharging mode, the equalization is closed; when the battery is in the standby mode, the equalization is started; and when the battery is in the charging mode, the equalization is not closed. In the preprocessed monitoring data, the minimum single battery voltage is found, and the difference between the minimum single battery voltage and the maximum single battery voltage is calculated to obtain a target difference value. The target difference value is compared with the preset equalization voltage difference in the battery equalization strategy. If the difference between the target difference value and the preset equalization voltage difference is greater than the preset equalization difference value, the charging switch of the single battery is closed and the discharge flag of the single battery is opened. If the difference is less than or equal to the preset equalization difference value, no equalization processing is temporarily required, and the monitoring data is continuously collected. After excluding the single battery, the calculation of the minimum single battery voltage and the equalization difference value is continued, and the above processing is repeated. It is judged whether the number of single batteries that need to be equalized is greater than three. If the number is greater than three, the three single batteries with the largest voltage difference from the minimum voltage are selected for equalization. After the equalization of the three single batteries is completed, the equalization of other single batteries is performed. That is, the discharge flag of the corresponding single battery is opened for discharging until the difference between the target difference value and the preset equalization voltage difference is less than the preset equalization difference value, the discharge flag of the single battery is closed, the charging mode is started, and the above processing is repeated until all the cells of the lithium battery pack are fully charged.

[0107] In the embodiment of the present application, the monitoring data of the lithium battery pack in standby mode, charging mode and discharging mode are collected based on the data verification method, which can comprehensively collect the data of the lithium battery pack in different modes, facilitating subsequent data analysis of the lithium battery pack in different modes. Based on the preprocessed monitoring data, overcurrent analysis, overtemperature analysis and low-temperature analysis of the lithium battery pack in the discharging mode / charging mode are performed, so as to achieve multi-directional safety analysis of the lithium battery pack. Based on the open-circuit voltage-ampere-hour integral method, the target residual capacity of the lithium battery pack in different modes is calculated, which not only makes up for the inaccuracy of the open-circuit voltage method in estimating the residual capacity under the condition of battery charging and discharging, but also solves the problem that the ampere-hour integral method cannot determine the initial value, so that the target residual capacity obtained is more reliable. Based on the safety state analysis results of the lithium battery pack in different modes, the calibrated actual capacity and the target residual capacity, the corresponding management strategy is determined in combination with the preprocessed monitoring data to balance and protect the lithium battery pack in different modes, which can effectively manage the difference of single batteries in the lithium battery pack, greatly avoid the occurrence of overcharge, overdischarge and overcurrent of the lithium battery pack, and thus improve the service life and energy utilization rate of the lithium battery pack.

[0108] Embodiment two

[0109] Please refer to Figure 2 , Figure 2 is a flowchart of a health state analysis and management method of a lithium battery pack in another embodiment of the present application, which is applied to the lithium battery pack and the battery management system of an electric vehicle; the method comprises:

[0110] S201: The battery management system collects monitoring data of the lithium battery pack in different modes based on the data verification method;

[0111] In the specific implementation process of the present application, the battery management system performs read-write configuration of the voltage collection register based on device address verification; based on the read-write configuration, the single battery voltage collection instruction is issued by using analog-to-digital conversion and data verification, the single battery voltage of the lithium battery pack in different modes is obtained, and the corresponding lithium battery pack voltage is generated based on the single battery voltage, the different modes including standby mode, charging mode and discharging mode; the analog quantity generated by the sampling resistor is sampled and converted to obtain the lithium battery pack current in different modes; the current temperature of the lithium battery pack in different modes read is compared with the temperature at the previous moment, the target temperature is determined based on the comparison result, and the target temperature is calibrated based on the proportion coefficient to obtain the calibrated target temperature, and the monitoring data of the lithium battery pack is composed of the single battery voltage, the lithium battery pack voltage, the lithium battery pack current and the calibrated target temperature.

[0112] S202: The monitoring data is preprocessed to obtain preprocessed monitoring data;

[0113] S203: Based on the preprocessed monitoring data, perform safety status analysis of lithium battery packs under different modes and obtain safety status analysis results;

[0114] In the specific implementation of this invention, the step of performing safety status analysis of the lithium battery pack under different modes based on preprocessed monitoring data to obtain safety status analysis results includes: in discharge mode / charging mode, comparing the lithium battery pack current in the preprocessed monitoring data with a preset overcurrent protection threshold to obtain a comparison result, and performing overcurrent analysis of the lithium battery based on the comparison result to obtain an overcurrent analysis result; in discharge mode / charging mode, comparing the calibration target temperature in the preprocessed monitoring data with a preset overtemperature threshold and a preset low temperature threshold to obtain corresponding comparison results, and performing overtemperature analysis and low temperature analysis of the lithium battery based on the corresponding comparison results to obtain overtemperature analysis results and low temperature analysis results, and the safety status analysis result is composed of the overcurrent analysis result, the overtemperature analysis result, and the low temperature analysis result.

[0115] S204: Calculate the actual calibrated capacity of the lithium battery pack using the temperature capacity coefficient based on the preprocessed monitoring data, and calculate the target remaining capacity of the lithium battery pack under different modes based on the open-circuit voltage-ampere-hour integration method.

[0116] S205: Based on the safety status analysis results of lithium battery packs under different modes, the actual calibrated capacity and the target remaining capacity, combined with the pre-processed monitoring data, the corresponding control strategy is determined;

[0117] S206: Based on the battery safety control strategy in the management and control strategy, lithium battery packs under different modes are protected against charging overcurrent, charging overtemperature, charging low temperature, discharging low temperature, discharging high temperature and discharging overcurrent.

[0118] S207: Overcharge and over-discharge protection for lithium battery packs under different modes based on the charge and discharge management strategy in the control strategy;

[0119] S208: Based on the battery balancing strategy in the control strategy, the discharge flag is used to balance and control the lithium battery pack under different modes.

[0120] In the specific implementation of this invention, detailed steps for balancing and controlling lithium battery packs under different modes can be found in the following: Figure 3 , Figure 3 This is a detailed schematic diagram of step S208 in an embodiment of the present invention, as shown below. Figure 3 As shown:

[0121] S2081: Continuously collect the individual cell voltages of the lithium battery pack in charging mode / standby mode, calculate the difference between the minimum and maximum individual cell voltages, and obtain the target difference.

[0122] In the embodiment of the present application, in the discharge mode, the battery itself needs to provide energy for the load, so it is not suitable for balancing. In the standby state, the battery cell voltage can be accurately measured, so the battery cell that meets the balancing condition can be easily found for balancing. In the charging mode, the system can determine whether the difference between the highest battery cell voltage and the lowest battery cell voltage meets the balancing condition. If the condition is met, the balancing is started and the charging speed of the highest voltage battery cell is inhibited. In this regard, when the battery is in the discharge mode, the balancing is closed; when the battery is in the standby mode, the balancing is started; and when the battery is in the charging mode, the balancing is not closed. The minimum single battery voltage is found in the pre-processed monitoring data, and the difference between the minimum single battery voltage and the maximum single battery voltage is calculated to obtain the target difference value.

[0123] S2082: determining whether the difference between the target difference value and the preset balancing voltage difference is greater than the preset balancing difference value;

[0124] In the embodiment of the present application, the target difference value is compared with the preset balancing voltage difference in the battery balancing strategy. If the difference between the target difference value and the preset balancing voltage difference is greater than the preset balancing difference value, step S2083 is entered. If the difference between the target difference value and the preset balancing voltage difference is less than or equal to the preset balancing difference value, step S2081 is entered.

[0125] S2083: taking the single battery corresponding to the difference between the target difference value and the preset balancing voltage difference being greater than the preset balancing difference value as the single battery that needs to be balanced;

[0126] S2084: determining whether the number of single batteries that need to be balanced is greater than three;

[0127] In the embodiment of the present application, it is determined whether the single battery that needs to be balanced is greater than three. If it is greater than three, step S2085 is entered. If it is not greater than three, step S2086 is directly entered.

[0128] S2085: taking the three battery cells with the largest difference in the single batteries that need to be balanced;

[0129] S2086: starting the discharge flag bit of the single battery that needs to be balanced;

[0130] S2087: discharging the single battery;

[0131] S2088: determining whether the difference between the recalculated target difference value and the preset balancing voltage difference is less than the preset balancing difference value;

[0132] S2089: closing the discharge flag bit and restarting the charging state of the corresponding single battery.

[0133] In the embodiment of the present application, the monitoring data of the lithium battery pack in standby mode, charging mode and discharging mode are collected based on the data verification method, which can comprehensively collect the data of the lithium battery pack in different modes, and facilitate subsequent data analysis of the lithium battery pack in different modes. The overcurrent analysis, overtemperature analysis and low-temperature analysis of the lithium battery pack in the discharging mode / charging mode are performed based on the pretreated monitoring data, so as to achieve multi-directional safety analysis of the lithium battery pack. The target residual capacity of the lithium battery pack in different modes is calculated based on the open circuit voltage-ampere hour integral method, which not only makes up for the defect that the residual capacity estimation of the open circuit voltage method is inaccurate under the battery charging and discharging working condition, but also solves the problem that the ampere hour integral method cannot determine the initial value, so that the target residual capacity obtained is more reliable. The corresponding management and control strategy is determined based on the safety state analysis result, the calibrated actual capacity and the target residual capacity of the lithium battery pack in different modes in combination with the pretreated monitoring data to balance and protect the lithium battery pack in different modes, which can effectively manage the difference of the single battery in the lithium battery pack, greatly avoid the occurrence of overcharge, overdischarge and overcurrent of the lithium battery pack, and thus improve the service life and energy utilization rate of the lithium battery pack.

[0134] Embodiment three

[0135] Please refer to Figure 4 , Figure 4 is a structural schematic diagram of a health state analysis and management device of a lithium battery pack in the embodiment of the present application, which is applied to the lithium battery pack and the battery management system of an electric vehicle; the device comprises:

[0136] The data acquisition module 31 is configured to collect the monitoring data of the lithium battery pack in different modes based on the data verification method by the battery management system.

[0137] The pretreatment module 32 is configured to pretreat the monitoring data to obtain pretreated monitoring data.

[0138] The safety state analysis module 33 is configured to perform safety state analysis of the lithium battery pack in different modes based on the pretreated monitoring data to obtain a safety state analysis result.

[0139] The capacity calculation module 34 is configured to calculate the calibrated actual capacity of the lithium battery pack by using a temperature capacity coefficient based on the pretreated monitoring data, and calculate the target residual capacity of the lithium battery pack in different modes based on the open circuit voltage-ampere hour integral method.

[0140] The strategy determination module 35 is configured to determine the corresponding management and control strategy based on the safety state analysis result, the calibrated actual capacity and the target residual capacity of the lithium battery pack in different modes in combination with the pretreated monitoring data.

[0141] Balancing and protecting module 36: used for balancing and protecting lithium battery pack in different modes based on the management strategy.

[0142] In the implementation of the present application, the implementation of the device item can refer to the implementation of the method item described above, which will not be repeated here.

[0143] In the embodiment of the present application, the monitoring data of the lithium battery pack in standby mode, charging mode and discharging mode is collected based on the data verification method, which can comprehensively collect the data of the lithium battery pack in different modes, facilitating subsequent data analysis of the lithium battery pack in different modes. Based on the preprocessed monitoring data, overcurrent analysis, overtemperature analysis and low-temperature analysis of the lithium battery pack in the discharging mode / charging mode are performed, which can achieve multi-directional safety analysis of the lithium battery pack. The target residual capacity of the lithium battery pack in different modes is calculated based on the open-circuit voltage-ampere-hour integral method, which not only makes up for the inaccuracy of the open-circuit voltage method in estimating the residual capacity under the condition of battery charging and discharging, but also solves the problem that the ampere-hour integral method cannot determine the initial value, making the target residual capacity more reliable. Based on the safety state analysis results of the lithium battery pack in different modes, the calibrated actual capacity and the target residual capacity, the corresponding management strategy is determined in combination with the preprocessed monitoring data to balance and protect the lithium battery pack in different modes, which can effectively manage the differences of single batteries in the lithium battery pack, greatly avoiding the occurrence of overcharging, overdischarging and overcurrent of the lithium battery pack, thereby improving the service life and energy utilization rate of the lithium battery pack.

[0144] The computer readable storage medium provided by the embodiment of the present application stores a computer program, and the program is executed by a processor to realize the health state analysis and management method of the lithium battery pack in any one of the above embodiments. The computer readable storage medium includes but is not limited to any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory), RAM (Random AcceSS Memory), EPROM (EraSable Programmable Read-Only Memory), EEPROM (Electrically EraSable Programmable Read-Only Memory), flash memory, magnetic card or optical card. That is, the storage device includes any medium that stores or transmits information in a form that can be read by a device (such as a computer, a mobile phone), which can be a read-only memory, a magnetic disk or an optical disk, etc.

[0145] In addition, the above describes in detail a health state analysis and control method of a lithium battery pack and related devices provided by the embodiments of the present application. The principles and implementation manners of the present application are described by using specific examples in this paper. The above description of the embodiments is only used to help understand the method of the present application and its core idea. Meanwhile, for those skilled in the art, the specific implementation manners and application ranges will be changed according to the idea of the present application. In summary, the content of the specification should not be understood as a limitation of the present application.

Claims

1. A method for analyzing and managing the state of health of a lithium battery pack, characterized in that, The application relates to a lithium battery pack and a battery management system for an electric vehicle; the method comprises the following steps: The battery management system collects monitoring data of the lithium battery pack in different modes based on a data verification method; The monitoring data is preprocessed to obtain preprocessed monitoring data; Based on the preprocessed monitoring data, the safety state analysis of the lithium battery pack in different modes is carried out to obtain a safety state analysis result; Based on the preprocessed monitoring data, the calibrated actual capacity of the lithium battery pack is calculated by using a temperature capacity coefficient, and the target residual capacity of the lithium battery pack in different modes is calculated based on an open-circuit voltage-ampere-hour integral method; Based on the safety state analysis result, the calibrated actual capacity and the target residual capacity of the lithium battery pack in different modes, and the preprocessed monitoring data, a corresponding control strategy is determined; Based on the control strategy, the lithium battery pack in different modes is balanced and protected; The calibrated actual capacity of the lithium battery pack is calculated based on the temperature capacity coefficient by using the calibration target temperature in the preprocessed monitoring data, and the calculation expression of the calibrated actual capacity is as follows: Wherein, RL is the calibrated actual capacity, BL is the nominal capacity of the lithium battery pack, sigma is the temperature capacity coefficient, and T is the calibration target temperature; The initial state of charge is calculated based on the open-circuit voltage method, and the calculation expression of the initial state of charge is as follows: OCV SOC = index * 10 + ((SocOcvTab[index] - voltage) * 10) / (SocOcvTab[index]-SocOcvTab[index+1]), BMSCAP OCV-SOC = MR*OCV SOC , wherein OCV SOC is the state of charge, SocOcvTab[] is the table of state of charge versus voltage, index is the initial point, voltage is the open circuit voltage, BMSCAP OCV-SOC is the initial state of charge, MR is the full capacity of the lithium battery pack; The first target residual capacity of the lithium battery pack in the charging mode is calculated based on the initial state of charge by using the ampere-hour integral method, and the calculation expression of the first target residual capacity is as follows: wherein BMSCAP AHOCV-SOC-C1 is the first target remaining capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from the period to the period in the charging mode; The second target residual capacity of the lithium battery pack in the discharging mode is calculated based on the initial state of charge by using the ampere-hour integral method, and the calculation expression of the second target residual capacity is as follows: wherein BMSCAP AHOCV-SOC-C2 is the second target remaining capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from the to time period to the t time period in the discharging mode.

2. The method of claim 1, wherein the method further comprises: The monitoring data of the lithium battery pack in different modes is collected based on the data verification method, which comprises the following steps: The battery management system reads and writes the configuration of the voltage acquisition register based on the device address verification; The single battery voltage acquisition instruction is sent based on the read-write configuration by using the analog-to-digital conversion and data verification, the single battery voltage of the lithium battery pack in different modes is obtained, and the corresponding lithium battery pack voltage is generated based on the single battery voltage, wherein the different modes include standby mode, charging mode and discharging mode; The analog quantity generated by the sampling resistor is sampled and converted to obtain the lithium battery pack current in different modes; The current temperature of the lithium battery pack in different modes is compared with the temperature at the previous moment, the target temperature is determined based on the comparison result, and the target temperature is calibrated based on the proportional coefficient to obtain the calibration target temperature, and the monitoring data of the lithium battery pack is composed of the single battery voltage, the lithium battery pack voltage, the lithium battery pack current and the calibration target temperature.

3. The method of claim 1, wherein the method further comprises: determining a state of charge of the lithium battery pack; and determining a state of health of the lithium battery pack based on the state of charge of the lithium battery pack. The monitoring data is preprocessed to obtain preprocessed monitoring data, which comprises the following steps: The monitoring data is standardized and integrated to obtain pre-processed monitoring data.

4. The method of claim 1, wherein the method further comprises: determining a state of charge of the lithium battery pack; and determining a state of health of the lithium battery pack based on the state of charge of the lithium battery pack. The safety state analysis of the lithium battery pack under different modes is performed based on the pre-processed monitoring data to obtain a safety state analysis result, including: In the discharge mode / charge mode, the lithium battery current in the pre-processed monitoring data is compared with a preset overcurrent protection threshold to obtain a comparison result, and overcurrent analysis of the lithium battery is performed based on the comparison result to obtain an overcurrent analysis result; In the discharge mode / charge mode, the calibration target temperature in the pre-processed monitoring data is compared with a preset over-temperature threshold and a preset low-temperature threshold, respectively, to obtain corresponding comparison results, and over-temperature analysis and low-temperature analysis of the lithium battery are performed based on the corresponding comparison results to obtain over-temperature analysis results and low-temperature analysis results, which constitute the safety state analysis result.

5. The method of claim 1, wherein the method further comprises: determining a state of health of the lithium battery pack based on the at least one of the plurality of parameters. The corresponding control strategy is determined based on the safety state analysis result, the calibrated actual capacity, and the target residual capacity of the lithium battery pack under different modes in combination with the pre-processed monitoring data, including: The battery safety control strategy is determined based on the overcurrent analysis result, the over-temperature analysis result, and the low-temperature analysis result of the lithium battery under the discharge mode / charge mode; The battery charge-discharge management strategy is determined based on the calibrated actual capacity and the target residual capacity of the lithium battery pack under different modes; The battery equalization strategy is determined based on the single battery voltage of the lithium battery pack under different modes in combination with the preset equalization voltage difference, and the control strategy is determined based on the battery safety control strategy, the charge-discharge management strategy, and the battery equalization strategy.

6. The method of claim 1, wherein the method further comprises: The lithium battery pack under different modes is equalized and protected based on the control strategy, including: The lithium battery pack under different modes is subjected to charging overcurrent protection, charging over-temperature protection, charging low-temperature protection, discharging low-temperature protection, discharging over-temperature protection, and discharging overcurrent protection based on the battery safety control strategy in the control strategy; The lithium battery pack under different modes is subjected to overcharge and overdischarge protection based on the charge-discharge management strategy in the control strategy; The lithium battery pack under different modes is subjected to equalization control based on the discharge flag and the battery equalization strategy in the control strategy.

7. A device for analyzing and managing the state of health of a lithium battery pack, characterized in that, The lithium battery pack and the battery management system applied to the electric vehicle; the device comprises: A data acquisition module for the battery management system to acquire monitoring data of the lithium battery pack under different modes based on data verification method; A preprocessing module for preprocessing the monitoring data to obtain pre-processed monitoring data; A safety state analysis module for performing safety state analysis of the lithium battery pack under different modes based on the pre-processed monitoring data to obtain a safety state analysis result; A capacity calculation module for calculating the calibrated actual capacity of the lithium battery pack using the temperature capacity coefficient based on the pre-processed monitoring data, and calculating the target residual capacity of the lithium battery pack under different modes based on the open-circuit voltage-ampere-hour integral method; A strategy determination module for determining the corresponding control strategy based on the safety state analysis result, the calibrated actual capacity, and the target residual capacity of the lithium battery pack under different modes in combination with the pre-processed monitoring data. The equalization protection module is configured to perform equalization and protection processing on the lithium battery pack in different modes based on the management strategy. The calibration actual capacity of the lithium battery pack is calculated based on the preprocessed monitoring data using a temperature capacity coefficient, including: the calibration actual capacity of the lithium battery pack is calculated based on a calibration target temperature in the preprocessed monitoring data using a temperature capacity coefficient, and a calculation expression of the calibration actual capacity is: wherein RL is the calibration actual capacity, BL is the nominal capacity of the lithium battery pack, σ is the temperature capacity coefficient, and T is the calibration target temperature; The target residual capacity of the lithium battery pack in different modes is calculated based on the open circuit voltage-ampere hour integral method, including: an initial state of charge is calculated based on the open circuit voltage method, and a calculation expression of the initial state of charge is: OCV SOC = index * 10 + ((SocOcvTab[index] - voltage) * 10) / (SocOcvTab[index]-SocOcvTab[index+1]), BMSCAP OCV-SOC = MR*OCV SOC , wherein OCV SOC is the state of charge, SocOcvTab[] is the table of state of charge versus voltage, index is the initial point, voltage is the open circuit voltage, BMSCAP OCV-SOC is the initial state of charge, MR is the full capacity of the lithium battery pack; A first target residual capacity of the lithium battery pack in a charging mode is calculated based on the initial state of charge using the ampere hour integral method, and a calculation expression of the first target residual capacity is: wherein BMSCAP AHOCV-SOC-C1 is the first target remaining capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from the period to the period in the charging mode; A second target residual capacity of the lithium battery pack in a discharging mode is calculated based on the initial state of charge using the ampere hour integral method, and a calculation expression of the second target residual capacity is: wherein BMSCAP AHOCV-SOC-C2 is the second target remaining capacity, BMSCAP OCV-SOC is the initial state of charge, A cur is the current value from the to time period to the t time period in the discharging mode.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, and when the computer instructions run on the electronic device, the electronic device performs the health state analysis and management method of the lithium battery pack as claimed in any one of claims 1 to 6.

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