A battery management method and system

Abstract

The present invention discloses a battery management method and a system thereof, and relates to the technical field of battery management. The battery management method obtains battery historical charging data, battery historical discharging data, and battery historical static data; and respectively performs data analysis on the battery historical charging data, battery historical discharging data, and battery historical static data to obtain a battery charging state parameter set, a battery discharging state parameter set, and a battery static state parameter set. The present invention obtains and analyzes the historical data of the battery in three different states of charging, discharging, and static, and combines the current real-time data to fully grasp the operating status of the battery, thereby not only considering the performance of the battery in a single state, but also analyzing the comprehensive performance of the battery in multiple states, making up for the shortcomings of single state analysis in the prior art, and significantly improving the accuracy and reliability of battery management, thereby extending the service life of the battery and reducing the replacement frequency.

Description

Technical Field

[0001] The present invention relates to the technical field of battery management, and in particular to a battery management method and a system thereof. Background Art

[0002] With the rapid development of renewable energy and the popularity of electric vehicles, battery technology plays a vital role in modern society. Lithium-ion batteries, lead-acid batteries and other types of rechargeable batteries are widely used in electric vehicles, smart grids, portable electronic devices and industrial energy storage systems. However, despite significant advances in battery technology, battery health management and life extension still face many challenges.

[0003] In the prior art, the battery management system (BMS) is mainly responsible for monitoring the key parameters of the battery, such as voltage, current, temperature, etc., to ensure that the battery operates within a safe range. However, traditional battery management methods often only focus on a single working state (such as charging or discharging) and lack a comprehensive analysis of the battery in different states. This limitation may lead to inaccurate battery status assessment and failure to identify battery degradation trends in a timely manner, thereby affecting the overall performance and safety of the battery. In addition, existing systems are generally unable to dynamically adjust management strategies based on the real-time status of the battery, resulting in the battery being prone to overcharging, over-discharging, or overheating under high load or extreme environments, further accelerating battery aging and capacity decay.

[0004] The limitations of the existing technology include at least the following problems. In terms of battery management, the existing technology is usually limited to monitoring and managing the parameters of a single battery state during charging or discharging, and lacks comprehensive analysis of the battery under different working conditions, which can easily lead to the difficulty in fully grasping the actual health status and capacity attenuation of the battery during the battery management process, resulting in the battery performance meeting expectations only in a single working state, but in actual use, the conversion of the battery between different working states may cause performance inconsistencies or even accelerated aging problems, which can easily shorten the battery life, increase the frequency and cost of battery replacement, and further affect the normal operation and safety of the equipment. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a battery management method and system thereof, which solves the problem that in terms of battery management, the prior art is usually limited to monitoring and managing the parameters of a single state of the battery during charging or discharging, but lacks a comprehensive analysis of the battery under different working states, which easily leads to the difficulty in fully grasping the actual health status and capacity attenuation of the battery during the battery management process, resulting in the battery performance meeting expectations only in a single working state, but in actual use, the conversion of the battery between different working states may cause performance inconsistency or even accelerated aging, which easily shortens the battery life, increases the frequency and cost of battery replacement, and further affects the normal operation and safety of the equipment.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a battery management method, comprising the following steps: obtaining battery historical charging data, battery historical discharging data, and battery historical static data; performing data analysis on the battery historical charging data, battery historical discharging data, and battery historical static data to obtain a battery charging state parameter set, a battery discharging state parameter set, and a battery static state parameter set; identifying the current working state of the battery and obtaining the battery current state data; performing a comprehensive analysis on the battery current state data in combination with the battery corresponding state parameter set to obtain the battery current health state index and the battery current state capacity decay rate; taking corresponding state management measures for the battery current working state based on the battery current health state index and the battery current state capacity decay rate.

[0007] Further, the battery historical charging data specifically includes historical battery charging voltage values, historical battery charging current values, and historical battery charging temperature values ​​at several time points during historical battery charging; the battery historical discharge data specifically includes historical battery discharge voltage values, historical battery discharge current values, and historical battery discharge temperature values ​​at several time points during historical battery discharge; the battery historical static data specifically includes historical battery static voltage values, historical battery static current values, and historical battery static temperature values ​​at several time points during historical battery charging; the battery charging state parameter set specifically includes historical battery charging voltage average values, historical battery charging current average values, and historical battery charging temperature average values; the battery discharge state parameter set specifically includes historical battery discharge voltage average values, historical battery discharge current average values, and historical battery discharge temperature average values; and the battery static state parameter set specifically includes historical battery static voltage average values, historical battery static current average values, and historical battery static temperature average values.

[0008] Furthermore, the specific steps of obtaining the battery charging state parameter set, the battery discharging state parameter set, and the battery static state parameter set are: reading the historical battery charging voltage values, the historical battery charging current values, and the historical battery charging temperature values ​​at several time points during the historical battery charging, as well as the historical battery discharge voltage values, the historical battery discharge current values, and the historical battery discharge temperature values ​​at several time points during the historical battery discharging, and the historical battery static voltage values, the historical battery static current values, and the historical battery static temperature values ​​at several time points during the historical battery charging, and performing mean analysis in combination with the weighted average method to obtain the historical battery charging voltage mean, the historical battery charging current mean, the historical battery charging temperature mean, the historical battery discharge voltage mean, the historical battery discharge current mean, the historical battery discharge temperature mean, the historical battery static voltage mean, the historical battery static current mean, and the historical battery static temperature mean.

[0009] Furthermore, the specific formulas for calculating the historical battery charging voltage average, the historical battery charging current average, and the historical battery charging temperature average are as follows: Among them, Ycj is the historical battery charging voltage average, CdY i is the historical battery charging voltage value at the i-th time point when the historical battery is charged, α i1 is the weighting coefficient of the historical battery charging voltage value at the i-th time point during historical battery charging, CdY i+1 is the historical battery charging voltage value at the i+1th time point when the historical battery is charged, α i2 is the weighting coefficient of the historical battery charging voltage value at the i+1th time point during historical battery charging, α i1 +α i2 =1, Lcj is the historical battery charging current average, CdL i is the historical battery charging current value at the i-th time point when the historical battery is charged, β i1 is the weighting coefficient of the historical battery charging current value at the i-th time point during the historical battery charging, CdL i+1 is the historical battery charging current value at the i+1th time point during historical battery charging, β i2 is the weighting coefficient of the historical battery charging current value at the i+1th time point during historical battery charging, β i1 +β i2 =1, Wcj is the historical battery charging temperature average, CwD i is the historical battery charging temperature value at the i-th time point during historical battery charging, χ i1 is the weighting coefficient of the historical battery charging temperature value at the i-th time point during historical battery charging, CwD i+1 is the historical battery charging temperature value at the i+1th time point during historical battery charging, χ i2is the weighting coefficient of the historical battery charging temperature value at the i+1th time point during historical battery charging, χ i1 +χ i2 =1,i=1,2,3,…,i 0 ,i 0 The number of time points in the historical battery charging history.

[0010] Furthermore, the specific steps for obtaining the battery current health status index are as follows: if the current working state of the battery is the charging state, the current state data obtained are the current charging voltage value of the battery, the current charging current value of the battery, and the current charging temperature value of the battery, and the battery current health status index is the battery current charging health status index; read the historical battery charging voltage value, the historical battery charging current value, and the historical battery charging temperature value at several time points during the historical battery charging, and compare and analyze them respectively to obtain the historical maximum battery charging voltage value, the historical minimum battery charging voltage value, the historical maximum battery charging current value, the historical minimum battery charging current value, the historical maximum battery charging temperature value, and the historical minimum battery charging temperature value; conduct a comprehensive analysis of the battery current charging voltage value, the historical maximum battery charging voltage value, the historical minimum battery charging voltage value, the historical average battery charging voltage value, the current charging current value of the battery, the historical maximum battery charging current value, the historical minimum battery charging current value, the historical average battery charging current value, the current charging temperature value of the battery, the historical maximum battery charging temperature value, the historical minimum battery charging temperature value, and the historical average battery charging temperature value to obtain the battery current charging health status index.

[0011] Furthermore, the specific formula for calculating the current battery charging health status index is as follows:

[0012]

[0013] Among them, CjK is the current battery charging health status index, Yd is the current battery charging voltage value, Ycj is the historical battery charging voltage average, CdY Max The maximum value of the battery charging voltage in history, CdY Min is the historical minimum battery charging voltage, ω 1 is the charging voltage coefficient, Ld is the current charging current value of the battery, Lcj is the historical battery charging current average, CdL Max is the maximum historical battery charging current, CdL Min is the historical minimum battery charging current, ω 2 is the charging current coefficient, Wd is the current charging temperature of the battery, Wcj is the historical average battery charging temperature, CwD Max The maximum value of the historical battery charging temperature, CwD Min is the historical minimum battery charging temperature, ω 3is the charging temperature coefficient, ω 1 +ω 2 +ω 3 =1.

[0014] Furthermore, the specific steps for obtaining the capacity decay rate of the battery in the current state are as follows: if the current working state of the battery is the charging state, the current state data obtained are the current charging voltage value of the battery, the current charging current value of the battery, and the current charging temperature value of the battery. The capacity decay rate of the battery in the current state is the current charging capacity decay rate of the battery, and the initial capacity value of the battery is obtained; the historical average battery charging voltage, the current charging voltage value of the battery, the historical average battery charging current, the current charging current value of the battery, the historical average battery charging temperature, the current charging temperature of the battery, and the initial capacity value of the battery are comprehensively analyzed to obtain the current charging capacity decay rate of the battery.

[0015] Furthermore, the specific formula for calculating the current charging capacity decay rate of the battery is as follows: Among them, CrS is the current charging capacity decay rate of the battery, C 0 is the initial capacity of the battery, Yd is the current charging voltage of the battery, Ycj is the historical average charging voltage of the battery, ω 1 is the charging voltage coefficient, Ld is the current charging current value of the battery, Lcj is the historical battery charging current average, ω 2 is the charging current coefficient, Wd is the current charging temperature of the battery, Wcj is the historical average battery charging temperature, ω 3 is the charging temperature coefficient, ω 1 +ω 2 +ω 3 =1.

[0016] Furthermore, the specific steps for taking corresponding status management measures for the current working state of the battery based on the current health status index of the battery and the current state capacity decay rate of the battery are as follows: if the current working state of the battery is a charging state, the current charging health status index of the battery, the current charging capacity decay rate of the battery and the preset health status range and capacity decay range are subjected to discriminant analysis, and corresponding management measures are taken according to the discriminant analysis results.

[0017] A battery management system comprises: a data acquisition module, a data analysis module, an identification acquisition module, a comprehensive analysis module, and a management module; the data acquisition module is used to acquire battery historical charging data, battery historical discharging data, and battery historical static data; the data analysis module is used to respectively perform data analysis on the battery historical charging data, battery historical discharging data, and battery historical static data to obtain a battery charging state parameter set, a battery discharging state parameter set, and a battery static state parameter set; the identification acquisition module is used to identify the current working state of the battery and acquire the battery current state data; the comprehensive analysis module is used to perform comprehensive analysis on the battery current state data in combination with the battery corresponding state parameter set to obtain the battery current health state index and the battery current state capacity decay rate; the management module is used to take corresponding state management measures for the battery current working state based on the battery current health state index and the battery current state capacity decay rate.

[0018] The present invention has the following beneficial effects:

[0019] (1) This battery management method can fully grasp the operating status of the battery by acquiring and analyzing the historical data of the battery in three different states: charging, discharging, and static, and combining it with the current real-time data. It not only considers the performance of the battery in a single state, but also analyzes the comprehensive performance of the battery in multiple states, making up for the shortcomings of single-state analysis in the prior art, and can significantly improve the accuracy and reliability of battery management, thereby extending the service life of the battery and reducing the frequency of replacement.

[0020] (2) The battery management method can adjust the battery charging and discharging strategy and management measures in real time according to the battery health status index and capacity decay rate. This dynamic adjustment method ensures that the battery can maintain the best working state in different usage scenarios, avoiding battery performance loss caused by overcharging or over-discharging, thereby significantly extending the overall life of the battery and reducing potential safety hazards and economic losses caused by battery performance degradation.

[0021] (3) After identifying the current health status and capacity attenuation of the battery, the battery management method can take preventive measures in a timely manner, such as reducing the charging rate, extending the trickle charging time, or issuing maintenance warnings. These measures can effectively prevent the battery from failing or being dangerous under high temperature or excessive use, thereby improving the overall safety of the system. In addition, since the system can identify and respond to potential problems in advance, it reduces the need for emergency maintenance and replacement due to unexpected battery failures, thereby reducing the overall maintenance cost of the system.

[0022] (4) The battery management system, through modular design, can automatically complete the entire process from data acquisition to status identification to management decision-making without human intervention. This automated processing not only improves management efficiency, but also reduces errors that may be caused by human operation. In addition, the system can analyze the status of the battery in real time and automatically adjust the management strategy according to the specific situation to ensure the optimal performance of the battery under various operating conditions. The intelligent management module enables the system to respond quickly to changes in battery status and warn of possible risks in advance, thereby further improving the safety of the system and the service life of the battery. Through this intelligent management system, the complexity and cost of battery maintenance can be greatly reduced, providing users with a more reliable and efficient battery management solution.

[0023] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 The present invention is a flow chart of a battery management method.

[0025] Figure 2 The present invention is a flowchart of the specific steps of obtaining the current health status index of a battery in a battery management method.

[0026] Figure 3 The present invention is a block diagram of a battery management system. DETAILED DESCRIPTION

[0027] The embodiment of the present application solves the problem that in terms of battery management, the prior art is usually limited to monitoring and managing the parameters of a single battery state during charging or discharging, but lacks comprehensive analysis of the battery under different working states, which easily leads to the difficulty in fully grasping the actual health status and capacity decay of the battery during the battery management process, so that the battery performance meets expectations only in a single working state, but in actual use, the conversion of the battery between different working states may cause inconsistent performance or even accelerated aging, which easily shortens the battery life, increases the frequency and cost of battery replacement, and further affects the normal operation and safety of the equipment.

[0028] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0029] First, obtain the historical charging, discharging, and static data of the battery, including voltage, current, and temperature. Perform weighted averaging and standardization on these historical data to obtain the battery's charging state parameter set, discharging state parameter set, and static state parameter set. Secondly, identify the battery's current working state (charging, discharging, or static), and obtain the corresponding real-time voltage, current, and temperature data. Perform a comprehensive analysis of the current data and the corresponding historical parameter set to calculate the battery's health status index and capacity decay rate. Finally, based on the calculated health status index and capacity decay rate, combined with the preset health status range and capacity decay range, take corresponding management measures for the battery's current working state, such as adjusting the charging and discharging strategy, starting cooling measures, or issuing maintenance warnings, to ensure the safety and efficiency of the battery.

[0030] See also Figure 1 The embodiment of the present invention provides a technical solution: a battery management method, comprising the following steps: obtaining historical battery charging data, historical battery discharging data, and historical battery static data; performing data analysis on the historical battery charging data, historical battery discharging data, and historical battery static data to obtain a battery charging state parameter set, a battery discharging state parameter set, and a battery static state parameter set; identifying the current working state of the battery and obtaining the current state data of the battery; performing a comprehensive analysis on the current state data of the battery in combination with the corresponding state parameter set of the battery to obtain the current health state index of the battery and the current state capacity decay rate of the battery; taking corresponding state management measures for the current working state of the battery based on the current health state index of the battery and the current state capacity decay rate of the battery.

[0031] The battery historical charging data specifically includes historical battery charging voltage values, historical battery charging current values, and historical battery charging temperature values ​​at several time points during historical battery charging; the battery historical discharge data specifically includes historical battery discharge voltage values, historical battery discharge current values, and historical battery discharge temperature values ​​at several time points during historical battery discharge; the battery historical static data specifically includes historical battery static voltage values, historical battery static current values, and historical battery static temperature values ​​at several time points during historical battery charging; the battery charging state parameter set specifically includes historical battery charging voltage average values, historical battery charging current average values, and historical battery charging temperature average values; the battery discharge state parameter set specifically includes historical battery discharge voltage average values, historical battery discharge current average values, and historical battery discharge temperature average values; the battery static state parameter set specifically includes historical battery static voltage average values, historical battery static current average values, and historical battery static temperature average values.

[0032] Among them, the historical battery charging voltage value, the historical battery discharging voltage value, and the historical battery static voltage value are obtained through a voltage sensor installed on the battery pack.

[0033] The historical battery charging current value, the historical battery discharging current value, and the historical battery static current value are obtained through the current sensor.

[0034] The historical battery charging temperature value, the historical battery discharging temperature value, and the historical battery standing temperature value are obtained through a temperature sensor installed in the battery module.

[0035] Specifically, the specific steps of obtaining the battery charging state parameter set, the battery discharging state parameter set, and the battery static state parameter set are: reading the historical battery charging voltage values, the historical battery charging current values, and the historical battery charging temperature values ​​at several time points during the historical battery charging, as well as the historical battery discharge voltage values, the historical battery discharge current values, and the historical battery discharge temperature values ​​at several time points during the historical battery discharging, and the historical battery static voltage values, the historical battery static current values, and the historical battery static temperature values ​​at several time points during the historical battery charging, and performing mean analysis in combination with the weighted average method to obtain the historical battery charging voltage mean, the historical battery charging current mean, the historical battery charging temperature mean, the historical battery discharge voltage mean, the historical battery discharge current mean, the historical battery discharge temperature mean, the historical battery static voltage mean, the historical battery static current mean, and the historical battery static temperature mean.

[0036] The specific formulas for calculating the historical battery charging voltage average, the historical battery charging current average, and the historical battery charging temperature average are as follows: Among them, Ycj is the historical battery charging voltage average, CdY i is the historical battery charging voltage value at the i-th time point when the historical battery is charged, α i1 is the weighting coefficient of the historical battery charging voltage value at the i-th time point during historical battery charging, CdY i+1 is the historical battery charging voltage value at the i+1th time point when the historical battery is charged, α i2 is the weighting coefficient of the historical battery charging voltage value at the i+1th time point during historical battery charging, α i1 +α i2 =1, Lcj is the historical battery charging current average, CdL i is the historical battery charging current value at the i-th time point when the historical battery is charged, β i1 is the weighting coefficient of the historical battery charging current value at the i-th time point during the historical battery charging, CdL i+1 is the historical battery charging current value at the i+1th time point during historical battery charging, β i2 is the weighting coefficient of the historical battery charging current value at the i+1th time point during historical battery charging, β i1 +β i2 =1, Wcj is the historical battery charging temperature average, CwD iis the historical battery charging temperature value at the i-th time point during historical battery charging, χ i1 is the weighting coefficient of the historical battery charging temperature value at the i-th time point during historical battery charging, CwD i+1 is the historical battery charging temperature value at the i+1th time point during historical battery charging, χ i2 is the weighting coefficient of the historical battery charging temperature value at the i+1th time point during historical battery charging, χ i1 +χ i2 =1,i=1,2,3,…,i 0 ,i 0 The number of time points in the historical battery charging history.

[0037] Among them, the logic for calculating the historical battery discharge voltage average, the historical battery discharge current average, the historical battery discharge temperature average, the historical battery static voltage average, the historical battery static current average, and the historical battery static temperature average is consistent with that for calculating the historical battery charging voltage average, the historical battery charging current average, and the historical battery charging temperature average, and the logic of the formulas used is also consistent.

[0038] It needs to be explained that α i1 , α i2 The specific calculation process is: summing up the historical battery charging voltage values ​​at the i-th and i+1-th time points during the historical battery charging to obtain the historical battery charging voltage sum value, and then performing ratio analysis on the historical battery charging voltage values ​​at the i-th and i+1-th time points during the historical battery charging and the historical battery charging voltage sum value, and the ratio result is the corresponding weighting coefficient.

[0039] β i1 , β i2 The specific calculation process is: summing up the historical battery charging current values ​​at the i-th and i+1-th time points during the historical battery charging to obtain the historical battery charging current sum value, and then performing ratio analysis on the historical battery charging current values ​​at the i-th and i+1-th time points during the historical battery charging with the historical battery charging current sum value, and the ratio result is the corresponding weighting coefficient.

[0040] χ i1 , χ i2 The specific calculation process is: summing up the historical battery charging temperature values ​​at the i-th and i+1-th time points during the historical battery charging to obtain the historical battery charging temperature sum value, and then performing ratio analysis on the historical battery charging temperature values ​​at the i-th and i+1-th time points during the historical battery charging and the historical battery charging temperature sum value, and the ratio result is the corresponding weighting coefficient.

[0041] In this implementation, by performing a ratio analysis on the historical battery data at each time point and the total, a weighting coefficient is determined to ensure that the calculated voltage, current and temperature mean values ​​can more accurately reflect the overall trend of the historical data. This weighted processing avoids the problem of extreme value deviation that may be caused by simple averaging, making the calculated mean value closer to the actual situation. In particular, during the battery charging process, the voltage, current and temperature at different time points may be significantly different. Weighting can more reasonably reflect the impact of these changes on the overall state of the battery, thereby improving the accuracy and representativeness of data analysis. This method dynamically adjusts the weighting coefficient according to the actual distribution of historical data, so that the contribution of data at each time point to the mean calculation is more reasonable. For example, at the beginning or end of charging, the change in battery voltage or temperature may be more drastic than in the middle. By dynamically adjusting the weighting coefficient, the battery voltage or temperature may change more drastically than in the middle. Adjusting the weights can better capture the data characteristics of these key periods. This highly adaptable weighted average method can flexibly adjust the calculation strategy when facing different batteries and different usage environments, thereby providing more reliable data support for subsequent battery management. Through this refined data processing method, the battery management system can formulate and adjust the charging and discharging strategy based on more accurate voltage, current and temperature averages. This method not only improves the scientific nature of management decisions, but also can more effectively extend the service life of the battery. For example, the battery health status index and capacity decay rate based on weighted mean analysis can help the system more accurately judge the current true state of the battery and avoid battery performance degradation or failure due to improper management measures. At the same time, this method also provides a reliable basis for preventive maintenance of batteries and reduces unnecessary maintenance costs.

[0042] Specifically, Figure 2 As shown, the specific steps for obtaining the battery's current health status index are as follows: if the current battery working state is the charging state, the current state data obtained are the battery's current charging voltage value, the battery's current charging current value, and the battery's current charging temperature value, and the battery's current health status index is the battery's current charging health status index; read the historical battery charging voltage value, the historical battery charging current value, and the historical battery charging temperature value at several time points during the historical battery charging, and compare and analyze them respectively to obtain the historical battery charging voltage maximum value, the historical battery charging voltage minimum value, the historical battery charging current maximum value, the historical battery charging current minimum value, the historical battery charging temperature maximum value, and the historical battery charging temperature minimum value; conduct a comprehensive analysis of the battery's current charging voltage value, the historical battery charging voltage maximum value, the historical battery charging voltage minimum value, the historical battery charging voltage average value, the battery's current charging current value, the historical battery charging current maximum value, the historical battery charging current minimum value, the historical battery charging current average value, the battery's current charging temperature value, the historical battery charging temperature maximum value, the historical battery charging temperature minimum value, and the historical battery charging temperature average value to obtain the battery's current charging health status index.

[0043] The specific formula for calculating the battery's current charging health status index is as follows:

[0044]

[0045] Among them, CjK is the current battery charging health status index, Yd is the current battery charging voltage value, Ycj is the historical battery charging voltage average, CdY Max The maximum value of the battery charging voltage in history, CdY Min is the historical minimum battery charging voltage, ω 1 is the charging voltage coefficient, Ld is the current charging current value of the battery, Lcj is the historical battery charging current average, CdL Max is the maximum historical battery charging current, CdL Min is the historical minimum battery charging current, ω 2 is the charging current coefficient, Wd is the current charging temperature of the battery, Wcj is the historical average battery charging temperature, CwD Max The maximum value of the historical battery charging temperature, CwD Min is the historical minimum battery charging temperature, ω 3 is the charging temperature coefficient, ω 1 +ω 2 +ω 3 =1, where each part in the formula is a unitless value, so it can be directly calculated, for example: (current battery charging voltage value - historical battery charging voltage average value) / (historical battery charging voltage maximum value - historical battery charging voltage minimum value), the calculation result of this part is a unitless value.

[0046] It needs to be explained that ω 1 ,ω 2 ,ω 3 The specific calculation process is: standardize the historical battery charging voltage average, the historical battery charging current average, and the historical battery charging temperature average, and sum them after standardization to obtain the charging sum value, and then perform a proportion analysis on the historical battery charging voltage average, the historical battery charging current average, and the historical battery charging temperature average after standardization and the charging sum value, and the analysis result is the corresponding coefficient.

[0047] If the current working state of the battery is a discharge state or a static state, the current health state index of the battery is the current discharge health state index of the battery and the current static health state index of the battery. The logic for calculating the current discharge health state index of the battery and the current static health state index of the battery is consistent with that for calculating the current charge health state index of the battery, and the logic of the formula used is also consistent.

[0048] In this implementation, by comprehensively analyzing the current voltage, current, and temperature values ​​of the battery with their historical maximum, minimum, and average values, the actual health status of the battery in the current state can be more accurately reflected. Compared with the evaluation method that relies on only a single parameter, this multi-parameter comprehensive analysis method can capture the multi-dimensional characteristics of battery performance and avoid misjudgment of health status due to ignoring certain important parameters. Therefore, this method can provide a more comprehensive and accurate health status evaluation for the battery management system, thereby improving the management level and service life of the battery. By standardizing historical data and dynamically adjusting the weight coefficient based on this data, the method has greater flexibility and adaptability. Regardless of the battery's charging state, discharging state, or static state, the method can automatically adjust the calculation according to different working states. The calculation logic ensures that the calculation results of the battery health status index are accurate and reliable. This flexibility enables the system to better adapt to the performance changes of the battery in different usage environments, thereby optimizing the battery's working efficiency and extending the battery's service life. By accurately calculating the battery's current health status index, the system can promptly identify potential health problems of the battery and take corresponding management measures. Especially during the charging and discharging process, the system can automatically adjust the battery's operating parameters according to the health status index, such as reducing the charging current or discharge rate to prevent excessive battery loss or overheating. This preventive management measure can effectively avoid unexpected battery failures and improve the safety and reliability of the entire battery management system. At the same time, the optimized management decisions can significantly reduce maintenance costs, extend the overall service life of the battery, and bring higher economic benefits.

[0049] Specifically, the specific steps for obtaining the capacity decay rate of the battery in the current state are as follows: if the current working state of the battery is the charging state, the current state data obtained are the current charging voltage value of the battery, the current charging current value of the battery, and the current charging temperature value of the battery, the current state capacity decay rate of the battery is the current charging capacity decay rate of the battery, and the initial capacity value of the battery is obtained; the historical average battery charging voltage, the current charging voltage value of the battery, the historical average battery charging current, the current charging current value of the battery, the historical average battery charging temperature, the current charging temperature of the battery, and the initial capacity value of the battery are comprehensively analyzed to obtain the current charging capacity decay rate of the battery.

[0050] The specific formula for calculating the current charging capacity attenuation rate of the battery is as follows: Among them, CrS is the current charging capacity decay rate of the battery, C 0 is the initial capacity of the battery, Yd is the current charging voltage of the battery, Ycj is the historical average charging voltage of the battery, ω 1 is the charging voltage coefficient, Ld is the current charging current value of the battery, Lcj is the historical battery charging current average, ω 2is the charging current coefficient, Wd is the current charging temperature of the battery, Wcj is the historical average battery charging temperature, ω 3 is the charging temperature coefficient, ω 1 +ω 2 +ω 3 =1, where each value in the formula is standardized, so the calculations can be performed directly between the parts.

[0051] It needs to be explained that if the current working state of the battery is a discharge state or a static state, the capacity decay rate of the battery in the current state is the current discharge capacity decay rate of the battery and the current static capacity decay rate of the battery, and the logic for calculating the current discharge capacity decay rate of the battery and the current static capacity decay rate of the battery is consistent with that for calculating the current charging capacity decay rate of the battery, and the logic of the formula used is also consistent.

[0052] In this embodiment, by performing mean analysis on the current voltage, current, and temperature of the battery and their historical average values, and combining them with the initial capacity value for analysis, this method can accurately evaluate the capacity decay of the battery. Compared with the traditional single parameter analysis, this multi-parameter comprehensive analysis method can more accurately capture the capacity changes of the battery during actual use. This precise evaluation can help the system identify the trend of battery performance degradation at an early stage, so as to take measures in advance, optimize the battery usage strategy, and extend the overall life of the battery. By acquiring the current working status data of the battery in real time and comparing and analyzing it with historical data, the system can dynamically calculate the capacity decay rate of the battery. According to this real-time decay rate, the system can flexibly adjust the battery charging and discharging strategy to avoid further performance loss. This dynamic adjustment not only improves the system's responsiveness to changes in battery status, but also provides personalized management measures based on different working conditions to ensure the best performance of the battery in various usage scenarios. During the calculation process, all parameters involved (voltage, current, temperature) are standardized, which allows the battery parameters of different types of batteries or in different usage environments to be analyzed uniformly. Standardization eliminates parameter differences between different batteries, making the calculation results more universal and comparable. This method ensures that the system can accurately calculate the capacity decay rate under different conditions, thereby improving the reliability and robustness of the entire battery management system. This reliable capacity decay assessment can effectively reduce the risks caused by battery performance uncertainty and improve the safety of the system.

[0053] Specifically, the specific steps of taking corresponding state management measures for the current working state of the battery based on the current health state index of the battery and the current state capacity decay rate of the battery are as follows: if the current working state of the battery is the charging state, the current charging health state index of the battery, the current charging capacity decay rate of the battery and the preset health state range and capacity decay range are discriminated and analyzed, and corresponding management measures are taken according to the discriminant analysis results. The specific process is as follows:

[0054] If the battery's current charging health status index is high (CjK>80%) and the battery's current charging capacity attenuation rate is low (CrS<10%): continue according to the standard charging strategy without special adjustments. The charging voltage and current can be set to the maximum allowable values ​​of the design, and continue to monitor the battery temperature to ensure that it is within a safe range (usually between 20°C and 40°C).

[0055] If the battery's current charging health status index is high (CjK>80%), but the battery's current charging capacity attenuation rate is moderate (10%≤CrS≤20%): moderately reduce the charging voltage and current to reduce further battery loss, and when the charge is close to full, extend the trickle charge time to ensure that the battery is fully charged and not overheated.

[0056] If the battery's current charging health status index is high (CjK>80%) and the battery's current charging capacity attenuation rate is high (CrS>20%): significantly reduce the charging current to avoid high current accelerating battery aging, and increase heat dissipation or cooling measures to maintain the battery temperature at a low level. At the same time, consider inspecting and maintaining the battery to assess whether there are other potential problems.

[0057] If the battery's current charging health status index is medium (60% ≤ CjK ≤ 80%), and the battery's current charging capacity attenuation rate is low (CrS < 10%): reduce the charging current, reduce heat generation, moderately reduce the charging cut-off voltage, and closely monitor the battery temperature to ensure that it does not exceed the set safety temperature.

[0058] If the battery's current charging health status index is medium (60% ≤ CjK ≤ 80%), and the battery's current charging capacity attenuation rate is medium (10% ≤ CrS ≤ 20%): further reduce the charging current to reduce the heat generated during the charging process, and regularly check the battery status during the charging process to prevent overcharging and overheating.

[0059] If the battery's current charging health status index is medium (60%≤CjK≤80%), but the battery's current charging capacity attenuation rate is high (CrS>20%): reduce the charging current and appropriately lower the charging cut-off voltage to prevent the battery from overcharging, and reduce the charging frequency to avoid further damage to the battery caused by frequent charging.

[0060] If the battery's current charging health status index is low (CjK < 60%) and the battery's current charging capacity attenuation rate is low (CrS < 10%): reduce the charging current and cut-off voltage, extend the charging time to reduce the battery stress, and check the battery condition regularly to ensure that it does not deteriorate further during the charging process.

[0061] If the battery's current charging health status index is low (CjK<60%) and the battery's current charging capacity attenuation rate is medium (10%≤CrS≤20%): further reduce the charging current and cut-off voltage to avoid excessive battery temperature, and ensure that the battery cooling measures are effective to keep the temperature at a minimum.

[0062] If the battery's current charging health status index is low (CjK<60%) and the battery's current charging capacity attenuation rate is high (CrS>20%): it is recommended to stop charging and conduct a comprehensive inspection or maintenance. If the battery has severely deteriorated, it is recommended to repair or replace it to ensure safe use.

[0063] If the current working state of the battery is the discharge state, the battery current discharge health state index FjK, the battery current discharge capacity decay rate FrS and the preset health state range and capacity decay range are discriminated and analyzed, and corresponding management measures are taken according to the discriminant analysis results. The specific process is as follows:

[0064] If the battery's current discharge health status index is high (FjK>80%) and the battery's current discharge capacity attenuation rate is low (FrS<10%): then discharge according to the designed maximum load, the discharge depth can reach the battery's nominal capacity, and ensure that the battery temperature remains within a safe range during discharge.

[0065] If the battery's current discharge health index is high (FjK>80%), but the battery's current discharge capacity attenuation rate is medium (10%≤FrS≤20%): appropriately reduce the discharge depth to avoid excessive discharge and damage to the battery, and reduce the discharge current to extend the battery life.

[0066] If the battery's current discharge health status index is high (FjK>80%), but the battery's current discharge capacity attenuation rate is high (FrS>20%): the discharge depth is limited to less than 70% of the battery capacity to reduce further capacity loss, and the discharge current is further reduced to prevent excessive temperature.

[0067] If the battery's current discharge health status index is medium (60% ≤ FjK ≤ 80%), and the battery's current discharge capacity attenuation rate is low (FrS < 10%): maintain medium load discharge to ensure that the battery operates within a safe range and that the temperature during discharge does not exceed the safety limit.

[0068] If the battery's current discharge health status index is medium (60% ≤ FjK ≤ 80%), and the battery's current discharge capacity attenuation rate is medium (10% ≤ FrS ≤ 20%): then further reduce the discharge current, reduce the battery's load pressure, and the discharge depth should be limited to less than 50% of the battery's nominal capacity.

[0069] If the battery's current discharge health status index is medium (60% ≤ FjK ≤ 80%), but the battery's current discharge capacity attenuation rate is high (FrS > 20%): significantly reduce the discharge current, minimize the discharge time, and limit the discharge depth to less than 40% of the battery capacity.

[0070] If the battery's current discharge health index is low (FjK < 60%) and the battery's current discharge capacity attenuation rate is low (FrS < 10%): discharge only under low load conditions, and the discharge depth should not exceed 30% of the nominal capacity, and the battery status should be checked and evaluated after each discharge.

[0071] If the battery's current discharge health index is low (FjK < 60%), and the battery's current discharge capacity attenuation rate is moderate (10% ≤ FrS ≤ 20%): minimize the discharge current and discharge time to avoid further damage to the battery, and strengthen battery maintenance to ensure that its condition does not deteriorate further.

[0072] If the battery's current discharge health index is low (FjK < 60%) and the battery's current discharge capacity attenuation rate is high (FrS > 20%): it is recommended to stop using this battery for discharge to prevent further damage or danger, and immediately conduct a detailed inspection of the battery status and necessary maintenance or replacement.

[0073] If the current working state of the battery is static, the current static health state index ZjK of the battery, the current static capacity decay rate ZrS of the battery, and the preset health state range and capacity decay range are discriminated and analyzed, and corresponding management measures are taken according to the discriminant analysis results. The specific process is as follows:

[0074] The battery's current static health index is high (ZjK>80%), and the battery's current static capacity attenuation rate is low (ZrS<10%): Maintain the current storage conditions without special treatment, and check the voltage and temperature regularly to ensure that there are no abnormal changes in the battery.

[0075] The battery's current static health index is high (ZjK>80%), but the battery's current static capacity attenuation rate is medium (10%≤ZrS≤20%): Consider lowering the storage temperature or humidity to slow down the battery's self-discharge rate, and appropriately increase the frequency of checking the battery status to ensure that the battery remains in good condition.

[0076] The battery's current static health status index is high (ZjK>80%), but the battery's current static capacity attenuation rate is high (ZrS>20%): increase the frequency of regular power replenishment to prevent excessive battery attenuation caused by self-discharge, and further optimize the storage environment to minimize the impact of the environment on the battery.

[0077] The battery's current static health status index is medium (60% ≤ ZjK ≤ 80%), and the battery's current static capacity decay rate is low (ZrS < 10%): consider lowering the temperature or adjusting the humidity to delay battery decay and ensure that the battery remains stable during the static process.

[0078] The battery's current static health status index is medium (60% ≤ ZjK ≤ 80%), and the battery's current static capacity attenuation rate is medium (10% ≤ ZrS ≤ 20%): increase the frequency of battery replenishment to avoid performance degradation due to low battery power, and ensure that the storage temperature and humidity are controlled within the optimal range.

[0079] The battery's current static health status index is medium (60% ≤ ZjK ≤ 80%), but the battery's current static capacity attenuation rate is high (ZrS > 20%): Consider storing the battery in a low temperature environment, replenishing the power regularly, increasing the frequency of battery inspections, and promptly handling any problems found.

[0080] The battery's current static health index is low (ZjK < 60%), and the battery's current static capacity attenuation rate is low (ZrS < 10%): strictly control storage conditions to reduce adverse effects on the battery, and recommend regular maintenance of the battery to avoid further deterioration.

[0081] The battery's current static health index is low (ZjK<60%), and the battery's current static capacity attenuation rate is medium (10%≤ZrS≤20%): store the battery in a low temperature environment and increase the inspection frequency to ensure a stable state. If the battery condition continues to deteriorate, it is recommended to consider replacing it.

[0082] The battery's current static health index is low (ZjK < 60%), and the battery's current static capacity attenuation rate is high (ZrS > 20%): It is recommended to stop using the battery, conduct a detailed inspection and necessary replacement immediately, and take emergency measures to prevent further deterioration of the battery and ensure safety.

[0083] An embodiment of the battery charging state is as follows, and the following data is available:

[0084] Current battery charging voltage: 4.15V;

[0085] Current charging current: 50A;

[0086] Current battery temperature: 35°C;

[0087] Historical charging voltage average: 4.10V;

[0088] Historical charging current average: 45A;

[0089] Historical charging temperature average: 30°C;

[0090] The maximum value of the historical charging voltage is 4.20V, and the minimum value of the historical charging voltage is 3.90V;

[0091] The maximum value of the historical charging current is 55A, and the minimum value of the historical charging current is 40A;

[0092] The maximum historical charging temperature is 40°C, and the minimum historical charging temperature is 25°C.

[0093] The historical charging voltage average, historical charging current average, and historical charging temperature average are standardized, and their values ​​are approximately 0.667, 0.333, and 0.333, respectively. The charging voltage coefficient is approximately 0.5, the charging current coefficient is approximately 0.25, and the charging temperature coefficient is approximately 0.25;

[0094] By respectively substituting the above data into the specific formulas for the battery's current charging health status index and the battery's current charging capacity decay rate for calculation, it can be obtained that the battery's current charging health status index is 75% (medium level), and the battery's current charging capacity decay rate is approximately equal to the battery's initial capacity value (close to zero decay). The charging current is reduced from 50A to 35A, the charging cut-off voltage is appropriately lowered, and the charging time is extended, so that the battery can be charged smoothly within a safe temperature range, avoiding excessive loss, and ensuring lower capacity decay. The battery health index is slightly improved after charging is completed.

[0095] In this embodiment, the method can accurately identify the actual current health status of the battery by comprehensively analyzing the health status index and capacity decay rate of the battery, and formulate personalized management measures for the battery based on this. This precise identification and personalized management not only ensures the best working performance of the battery in different states, but also effectively prevents potential battery failures and reduces the risk of accidental damage. By dynamically adjusting the charging and discharging strategies and storage conditions, the system can respond to changes in the battery status in a timely manner to ensure that the battery is always in a safe and efficient operating state. By setting different management strategies for charging, discharging and static states, the method can effectively delay the capacity decay of the battery and maximize the battery life. For example, when the battery's health status index is low or the capacity decay rate is high, the system will automatically reduce the charging current or discharge depth. , to reduce the pressure and further loss of the battery. This preventive management measure not only extends the battery life, but also improves the reliability of the entire battery management system, reduces the maintenance and replacement frequency caused by battery loss, and thus reduces the overall operating cost. By real-time monitoring of the battery's health status index and capacity decay rate, this method can promptly identify the degradation trend of the battery and take corresponding safety measures. For example, when the battery health status index is low and the capacity decay rate is high, the system will recommend stopping the use of the battery and conducting a detailed inspection or replacement to prevent further damage or safety hazards. This measure not only effectively prevents the excessive use of the battery, but also intervenes in time when potential problems occur in the battery to ensure the safety of users and equipment. This proactive safety management method greatly reduces the safety risks that may occur during battery use.

[0096] See also Figure 3 The embodiment of the present invention provides a technical solution: a battery management system, comprising: a data acquisition module, a data analysis module, an identification acquisition module, a comprehensive analysis module, and a management module; the data acquisition module is used to acquire battery historical charging data, battery historical discharging data, and battery historical static data; the data analysis module is used to perform data analysis on the battery historical charging data, battery historical discharging data, and battery historical static data, respectively, to obtain a battery charging state parameter set, a battery discharging state parameter set, and a battery static state parameter set; the identification acquisition module is used to identify the current working state of the battery and acquire the current state data of the battery; the comprehensive analysis module is used to perform comprehensive analysis on the current state data of the battery in combination with the corresponding state parameter set of the battery, to obtain the current health state index of the battery and the current state capacity decay rate of the battery; the management module is used to take corresponding state management measures for the current working state of the battery based on the current health state index of the battery and the current state capacity decay rate of the battery.

[0097] In summary, this application has at least the following effects:

[0098] By acquiring and analyzing historical data of the battery in three different states: charging, discharging, and static, and combining it with current real-time data, the operating status of the battery can be fully understood. This not only considers the performance of the battery in a single state, but also analyzes the comprehensive performance of the battery in multiple states, making up for the shortcomings of single-state analysis in existing technologies, and significantly improving the accuracy and reliability of battery management, thereby extending the battery life and reducing the frequency of replacement.

[0099] According to the battery health status index and capacity decay rate, the battery charging and discharging strategies and management measures can be adjusted in real time. This dynamic adjustment method ensures that the battery can maintain the best working state in different usage scenarios, avoiding battery performance loss caused by overcharging or over-discharging, thereby significantly extending the overall life of the battery and reducing potential safety hazards and economic losses caused by battery performance degradation.

[0100] After identifying the current health status and capacity attenuation of the battery, preventive measures can be taken in a timely manner, such as reducing the charging rate, extending the trickle charging time, or issuing maintenance warnings. These measures can effectively prevent the battery from failing or being dangerous under high temperature or excessive use, thereby improving the overall safety of the system. In addition, since the system can identify and respond to potential problems in advance, it reduces the need for emergency maintenance and replacement due to unexpected battery failure, thereby reducing the overall maintenance cost of the system.

[0101] Through modular design, the entire process from data acquisition to status identification to management decision-making can be automatically completed without human intervention. This automated processing not only improves management efficiency, but also reduces errors that may be caused by human operations. In addition, the system can analyze the status of the battery in real time and automatically adjust the management strategy according to the specific situation to ensure the best performance of the battery under various operating conditions. The intelligent management module enables the system to respond quickly to changes in battery status and warn of possible risks in advance, thereby further improving the safety of the system and the service life of the battery. Through this intelligent management system, the complexity and cost of battery maintenance can be greatly reduced, providing users with more reliable and efficient battery management solutions.

[0102] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0103] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A battery management method, characterized in that: The following steps are involved: Obtain battery historical charging data, battery historical discharging data, and battery historical static data; Performing data analysis on the battery's historical charging data, the battery's historical discharging data, and the battery's historical static data, respectively, to obtain a battery charging state parameter set, a battery discharging state parameter set, and a battery static state parameter set; Identify the current working status of the battery and obtain the current status data of the battery; The battery current status data is combined with the battery corresponding status parameter set for comprehensive analysis to obtain the battery current health status index and battery current status capacity attenuation rate; Take corresponding status management measures for the current working status of the battery based on the battery's current health status index and the battery's current capacity decay rate; The battery historical charging data specifically includes historical battery charging voltage values, historical battery charging current values, and historical battery charging temperature values ​​at several time points during historical battery charging; the battery historical discharge data specifically includes historical battery discharge voltage values, historical battery discharge current values, and historical battery discharge temperature values ​​at several time points during historical battery discharge; the battery historical static data specifically includes historical battery static voltage values, historical battery static current values, and historical battery static temperature values ​​at several time points during historical battery charging; the battery charging state parameter set specifically includes historical battery charging voltage average values, historical battery charging current average values, and historical battery charging temperature average values; the battery discharge state parameter set specifically includes historical battery discharge voltage average values, historical battery discharge current average values, and historical battery discharge temperature average values; the battery static state parameter set specifically includes historical battery static voltage average values, historical battery static current average values, and historical battery static temperature average values; The specific steps to obtain the capacity decay rate of the battery in the current state are as follows: If the current working state of the battery is the charging state, the current state data obtained are the current charging voltage value of the battery, the current charging current value of the battery, the current charging temperature value of the battery, the current state capacity decay rate of the battery is the current charging capacity decay rate of the battery, and the initial capacity value of the battery is obtained; Comprehensively analyze the historical battery charging voltage average, the current battery charging voltage value, the historical battery charging current average, the current battery charging current value, the historical battery charging temperature average, the current battery charging temperature, and the battery initial capacity value to obtain the current battery charging capacity attenuation rate; The specific formula for calculating the current charging capacity attenuation rate of the battery is as follows: Among them, CrS is the current charging capacity attenuation rate of the battery, C0 is the initial capacity value of the battery, Yd is the current charging voltage value of the battery, Ycj is the historical average charging voltage of the battery, ω1 is the charging voltage coefficient, Ld is the current charging current value of the battery, Lcj is the historical average charging current of the battery, ω2 is the charging current coefficient, Wd is the current charging temperature value of the battery, Wcj is the historical average charging temperature of the battery, ω3 is the charging temperature coefficient, ω1+ω2+ω3=1.

2. The battery management method according to claim 1, characterized in that: The specific steps of obtaining the battery charging state parameter set, the battery discharging state parameter set, and the battery static state parameter set are as follows: reading the historical battery charging voltage values, the historical battery charging current values, and the historical battery charging temperature values ​​at several time points during the historical battery charging, as well as the historical battery discharge voltage values, the historical battery discharge current values, and the historical battery discharge temperature values ​​at several time points during the historical battery discharging, and the historical battery static voltage values, the historical battery static current values, and the historical battery static temperature values ​​at several time points during the historical battery charging, and performing mean analysis in combination with the weighted average method to obtain the historical battery charging voltage mean value, the historical battery charging current mean value, the historical battery charging temperature mean value, the historical battery discharge voltage mean value, the historical battery discharge current mean value, the historical battery discharge temperature mean value, the historical battery static voltage mean value, the historical battery static current mean value, and the historical battery static temperature mean value.

3. The battery management method according to claim 1, characterized in that: The specific formulas for calculating the historical battery charging voltage average, the historical battery charging current average, and the historical battery charging temperature average are as follows: Among them, Ycj is the historical battery charging voltage average, CdY i is the historical battery charging voltage value at the i-th time point when the historical battery is charged, α i1 is the weighting coefficient of the historical battery charging voltage value at the i-th time point during historical battery charging, CdY i+1 is the historical battery charging voltage value at the i+1th time point when the historical battery is charged, α i2 is the weighting coefficient of the historical battery charging voltage value at the i+1th time point during historical battery charging, α i1 +α i2 =1, Lcj is the historical battery charging current average, CdL i is the historical battery charging current value at the i-th time point when the historical battery is charged, β i1 is the weighting coefficient of the historical battery charging current value at the i-th time point during the historical battery charging, CdL i+1 is the historical battery charging current value at the i+1th time point during historical battery charging, β i2 is the weighting coefficient of the historical battery charging current value at the i+1th time point during historical battery charging, β i1 +β i2 =1, Wcj is the historical battery charging temperature average, CwD i is the historical battery charging temperature value at the Ith time point during the historical battery charging, x i1 is the weighting coefficient of the historical battery charging temperature value at the i-th time point during historical battery charging, CwD i+1 is the historical battery charging temperature value at the i+1th time point during historical battery charging, χ i2 is the weighting coefficient of the historical battery charging temperature value at the i+1th time point during historical battery charging, χ i1 +χ i2 =1, i=1, 2, 3, ..., i0, i0 is the number of time points in the historical battery charging obtained.

4. The battery management method according to claim 1, characterized in that: The specific steps to obtain the current battery health status index are as follows: If the current working state of the battery is the charging state, the current state data obtained are the current charging voltage value of the battery, the current charging current value of the battery, and the current charging temperature value of the battery, and the current health state index of the battery is the current charging health state index of the battery; Read the historical battery charging voltage values, historical battery charging current values, and historical battery charging temperature values ​​at several time points during historical battery charging, and compare and analyze them respectively to obtain the historical maximum battery charging voltage value, the historical minimum battery charging voltage value, the historical maximum battery charging current value, the historical minimum battery charging current value, the historical maximum battery charging temperature value, and the historical minimum battery charging temperature value; A comprehensive analysis is performed on the battery's current charging voltage value, the historical maximum battery charging voltage value, the historical minimum battery charging voltage value, the historical average battery charging voltage value, the battery's current charging current value, the historical maximum battery charging current value, the historical minimum battery charging current value, the historical average battery charging current value, the battery's current charging temperature value, the historical maximum battery charging temperature value, the historical minimum battery charging temperature value, and the historical average battery charging temperature value to obtain the battery's current charging health status index.

5. The battery management method according to claim 4, characterized in that: The specific formula for calculating the battery's current charging health status index is as follows: Among them, CjK is the current battery charging health status index, Yd is the current battery charging voltage value, Ycj is the historical battery charging voltage average, CdY Max The maximum value of the battery charging voltage in history, CdY Min is the minimum value of the historical battery charging voltage, ω1 is the charging voltage coefficient, Ld is the current charging current value of the battery, Lcj is the historical battery charging current average, CdL Max is the maximum historical battery charging current, CdL Min is the historical minimum battery charging current, ω2 is the charging current coefficient, Wd is the current charging temperature of the battery, Wcj is the historical average battery charging temperature, CwD Max The maximum value of the historical battery charging temperature, CwD Min is the historical minimum battery charging temperature, ω3 is the charging temperature coefficient, ω1+ω2+ω3=1.

6. The battery management method according to claim 1, characterized in that: The specific steps for taking corresponding status management measures for the current working state of the battery based on the current health status index of the battery and the current capacity decay rate of the battery are as follows: if the current working state of the battery is a charging state, the current charging health status index of the battery, the current charging capacity decay rate of the battery and the preset health status range and capacity decay range are subjected to discriminant analysis, and corresponding management measures are taken according to the discriminant analysis results.

7. A battery management system, applying the battery management method according to any one of claims 1 to 6, characterized in that: include: Data acquisition module, data analysis module, identification acquisition module, comprehensive analysis module, management module; The data acquisition module is used to acquire the battery's historical charging data, the battery's historical discharging data, and the battery's historical static data; The data analysis module is used to analyze the battery historical charging data, the battery historical discharging data, and the battery historical static data, respectively, to obtain a battery charging state parameter set, a battery discharging state parameter set, and a battery static state parameter set; The identification and acquisition module is used to identify the current working state of the battery and obtain the current state data of the battery; The comprehensive analysis module is used to perform comprehensive analysis on the battery current status data in combination with the battery corresponding status parameter set to obtain the battery current health status index and the battery current status capacity attenuation rate; The management module is used to take corresponding status management measures for the current working status of the battery based on the current health status index of the battery and the current status capacity decay rate of the battery.

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