CN115061044B - Lithium battery health assessment method and system based on BMS communication detection technology - Google Patents
Lithium battery health assessment method and system based on BMS communication detection technology Download PDFInfo
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- 230000036541 health Effects 0.000 title claims abstract description 137
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 105
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 105
- 238000000034 method Methods 0.000 title claims abstract description 82
- 238000004891 communication Methods 0.000 title claims abstract description 15
- 238000001514 detection method Methods 0.000 title claims abstract description 15
- 238000005516 engineering process Methods 0.000 title claims abstract description 14
- 230000008859 change Effects 0.000 claims abstract description 113
- 238000011156 evaluation Methods 0.000 claims abstract description 22
- 230000008569 process Effects 0.000 claims description 53
- 238000007599 discharging Methods 0.000 claims description 30
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 238000010606 normalization Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000513 principal component analysis Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The invention discloses a lithium battery health assessment method and a system based on BMS communication detection technology, and relates to the technical field of lithium battery health assessment, wherein the method comprises the steps of firstly acquiring real-time data of total voltage, total current and temperature of a lithium battery detected by a lithium battery BMS system in the whole charge and discharge period, and detecting alternating current internal resistance and direct current internal resistance of the lithium battery; fitting to obtain a total voltage change curve, a total current change curve and a temperature change curve of the lithium battery in the whole charge-discharge period, determining a first health value according to the total voltage change curve, determining a second health value according to the total current change curve, determining a third health value according to the temperature change curve, determining a fourth health value according to the alternating current internal resistance and the direct current internal resistance of the lithium battery, and determining a final lithium battery health evaluation result by carrying out weighted summation after normalizing by utilizing the health values. The method is simple and convenient, the evaluation result is more accurate, and the lithium battery health can be comprehensively evaluated.
Description
Technical Field
The invention relates to the technical field of lithium battery health assessment, in particular to a lithium battery health assessment method and system based on a BMS communication detection technology.
Background
The electric bicycle mainly uses the lithium battery as a power source, the lithium battery has better service performance when the electric bicycle is just started, but the battery performance is continuously declined along with the increase of time, and the performance difference between the batteries is continuously increased. When the battery performance becomes poor, the use requirement cannot be met, and at this time, the battery needs to be replaced or the like.
The SOH of the lithium battery reflects the safety performance and capacity attenuation degree of the lithium battery pack, mainly describes parameters such as attenuation of total capacity, change of internal resistance of the lithium battery and the like, and is an important parameter for realizing long-time reliable operation of the lithium battery because unexpected lithium battery health often leads to failure of the overall function of a lithium battery system, scientific estimation and prediction of the health condition of the lithium battery from the application point of view, further guiding the operation and maintenance of the lithium battery, and constructing a state monitoring and health management system of the lithium battery to prevent overcharging, overdischarging and estimation of the health condition of the lithium battery. The current method for evaluating the health state of the lithium battery is complex, the characteristic extraction and calculation are generally required to be carried out on the data, and only single factors such as the voltage, the current and the like of the battery are considered, so that how to more accurately and simply evaluate the health state of the lithium battery is a problem which needs to be solved by the technicians in the field.
Disclosure of Invention
In view of the above, the invention provides a lithium battery health assessment method and system based on BMS communication detection technology.
In order to achieve the above object, the present invention provides the following technical solutions:
A lithium battery health assessment method based on BMS communication detection technology comprises the following steps:
Step 1, acquiring real-time data of total voltage, total current and temperature of a lithium battery detected by a lithium battery BMS system in the whole charge-discharge period, and detecting alternating current internal resistance and direct current internal resistance of the lithium battery;
Step 2, fitting to obtain a total voltage change curve, a total current change curve and a temperature change curve of the lithium battery in the whole charge and discharge period;
Step 3, determining a first health value according to the total voltage change curve, determining a second health value according to the total current change curve, and determining a third health value according to the temperature change curve;
Step 4, determining a fourth health value according to the alternating current internal resistance and the direct current internal resistance of the lithium battery;
and 5, carrying out weighted summation after normalization by using the first health value, the second health value, the third health value and the fourth health value, and determining a final lithium battery health evaluation result.
Optionally, in the step 1, an ac internal resistance meter is used to collect ac internal resistance ACR of the lithium battery;
The direct current internal resistance DCR is determined according to the difference between the open circuit voltage of the battery and the lithium battery voltage after charge/discharge, and the charge/discharge current value.
Optionally, in the step 3, the first health value is determined according to the total voltage change curve, and the specific method is as follows:
Respectively acquiring a voltage maximum value and a voltage maximum change rate in a charging process and a voltage maximum value and a voltage maximum change rate in a discharging process according to the total voltage change curve;
Comparing the maximum voltage and the maximum voltage change rate in the charging process and the maximum voltage change rate in the discharging process with corresponding preset thresholds, and determining a first health value according to the difference.
Optionally, in the step 3, the second health value is determined according to the total current change curve, and the specific method is as follows:
According to the total current change curve, respectively obtaining a current maximum value and a current maximum change rate in the charging process and a current maximum value and a current maximum change rate in the discharging process;
Comparing the maximum current value and the maximum current change rate in the charging process and the maximum current value and the maximum current change rate in the discharging process with corresponding preset thresholds, and determining a second health value according to the difference.
Optionally, in the step 3, a third health value is determined according to a temperature change curve, and the specific method is as follows:
According to the temperature change curve, respectively obtaining the maximum temperature value and the maximum temperature change rate in the charging process and the maximum temperature value and the maximum temperature change rate in the discharging process;
Comparing the maximum temperature and the maximum change rate of the temperature in the charging process and the maximum temperature and the maximum change rate of the temperature in the discharging process with corresponding preset thresholds, and determining a third health value according to the difference.
Optionally, the preset thresholds are all average values of working state parameter values of a plurality of normal lithium batteries under normal operation.
Optionally, in the step 4, the fourth health value is determined according to the ac internal resistance and the dc internal resistance of the lithium battery, and the specific method is as follows:
comparing the alternating current internal resistance with an alternating current internal resistance initial value to obtain a first comparison result, wherein if the ratio is smaller than or equal to a first preset threshold value, the alternating current internal resistance is judged to be normal, otherwise, the alternating current internal resistance is judged to be abnormal;
comparing the direct current internal resistance with the alternating current internal resistance to obtain a second comparison result, wherein if the ratio is smaller than or equal to a second preset threshold value, the direct current internal resistance is judged to be normal, otherwise, the direct current internal resistance is judged to be abnormal;
And determining a fourth health value according to the first comparison result and the second comparison result.
Optionally, in the step 5, after the final lithium battery health evaluation result is obtained, the final lithium battery health evaluation result is compared with a pre-stored health grading system to determine the health status of the lithium battery, including health, sub-health, failure and serious failure.
A lithium battery health assessment system based on BMS communication detection technology, comprising:
the lithium battery data acquisition unit is used for acquiring real-time data of total voltage, total current and temperature of the lithium battery detected by the lithium battery BMS system in the whole charging and discharging period and detecting alternating current internal resistance and direct current internal resistance of the lithium battery;
The curve fitting unit is used for fitting to obtain a total voltage change curve, a total current change curve and a temperature change curve of the lithium battery in the whole charge and discharge period;
The first scoring unit is used for determining a first health value according to the total voltage change curve, determining a second health value according to the total current change curve, and determining a third health value according to the temperature change curve;
the second scoring unit is used for determining a fourth health value according to the alternating current internal resistance and the direct current internal resistance of the lithium battery;
And the health evaluation unit is used for carrying out weighted summation after normalization by using the first health value, the second health value, the third health value and the fourth health value to determine a final lithium battery health evaluation result.
According to the technical scheme, the invention provides a lithium battery health assessment method and a system based on a BMS communication detection technology, and compared with the prior art, the method and the system have the following beneficial effects:
According to the invention, factors such as lithium battery voltage, current, temperature and battery internal resistance are considered, comprehensive evaluation is carried out on lithium battery health, calculation or extraction of characteristic points is not needed, the calculation method is simple and convenient, the evaluation result is more accurate, the reliability of the result is increased, and a data base is provided for improving the safety of the lithium battery in the use process.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the method steps of the present invention;
Fig. 2 is a schematic diagram of a system structure according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses a lithium battery health assessment method based on BMS communication detection technology, which is shown in fig. 1 and comprises the following steps:
and step 1, acquiring real-time data of total voltage, total current and temperature of the lithium battery detected by the lithium battery BMS system in the whole charge-discharge period, and detecting the alternating current internal resistance and the direct current internal resistance of the lithium battery.
The data of the voltage, current, etc. of the lithium battery can be directly obtained through the BMS system.
The method for obtaining the alternating current internal resistance and the direct current internal resistance of the lithium battery comprises the following steps:
And dividing the difference value and the current value according to the difference value of the open-circuit voltage of the battery and the voltage of the lithium battery after charging/discharging and the charging/discharging current value to obtain the DC internal resistance DCR.
Step 2, fitting to obtain a total voltage change curve, a total current change curve and a temperature change curve of the lithium battery in the whole charge and discharge period;
step 3, determining a first health value according to the total voltage change curve;
Respectively acquiring a voltage maximum value and a voltage maximum change rate in a charging process and a voltage maximum value and a voltage maximum change rate in a discharging process according to the total voltage change curve;
Comparing the maximum voltage and the maximum voltage change rate in the charging process and the maximum voltage change rate in the discharging process with corresponding preset thresholds, and determining a first health value L1 according to the difference.
For example, for the voltage maximum V Filling material max and the corresponding preset threshold V' Filling material max,S1＝|V Filling material max-V' Filling material max|/V' Filling material max during charging, S2 corresponding to V Filling material max, S3 corresponding to V Put and put max, S4 corresponding to V Put and put max are obtained in the same manner, and then l1=1- (s1+s2+s3+s4)/4 is made.
In other embodiments, the number of parameters meeting the preset threshold range may be calculated, and the ratio of the number of parameters to the total number of parameters may be used as the first health value L1.
Determining a second health value L2 according to the total current change curve;
According to the total current change curve, respectively obtaining a current maximum value and a current maximum change rate in the charging process and a current maximum value and a current maximum change rate in the discharging process;
comparing the maximum current value and the maximum current change rate in the charging process and the maximum current value and the maximum current change rate in the discharging process with corresponding preset thresholds, and determining a second health value L2 according to the difference.
Determining a third health value L3 according to the temperature change curve;
According to the temperature change curve, respectively obtaining the maximum temperature value and the maximum temperature change rate in the charging process and the maximum temperature value and the maximum temperature change rate in the discharging process;
comparing the maximum temperature and the maximum change rate of the temperature in the charging process and the maximum temperature and the maximum change rate of the temperature in the discharging process with corresponding preset thresholds, and determining a third health value L3 according to the difference.
In determining the third health value L3, not only the overall temperature of the lithium battery may be considered, but also, in a specific embodiment, the health value determination may be performed for each battery cell to comprehensively obtain the third health value L3, because the lithium battery is generally composed of a plurality of battery cells.
The preset threshold is an average value of working state parameter values under normal operation of a plurality of normal lithium batteries, for example, 10 normal lithium batteries are charged and discharged for 20 times under normal operation, parameter values (including total voltage, total current, temperature real-time data, alternating current internal resistance, direct current internal resistance and the like) during each operation are collected, and average value is obtained to further obtain relevant threshold values, wherein the threshold values comprise a threshold value corresponding to a maximum voltage value in a charging process, a threshold value corresponding to a maximum voltage change rate in the charging process, a threshold value corresponding to a maximum voltage value in a discharging process and the like.
Step 4, determining a fourth health value L4 according to the alternating current internal resistance and the direct current internal resistance of the lithium battery;
comparing the alternating current internal resistance with an alternating current internal resistance initial value to obtain a first comparison result, wherein if the ratio is smaller than or equal to a first preset threshold value, the alternating current internal resistance is judged to be normal, otherwise, the alternating current internal resistance is judged to be abnormal;
comparing the direct current internal resistance with the alternating current internal resistance to obtain a second comparison result, wherein if the ratio is smaller than or equal to a second preset threshold value, the direct current internal resistance is judged to be normal, otherwise, the direct current internal resistance is judged to be abnormal;
And determining a fourth health value L4 according to the first comparison result and the second comparison result. For example, when both comparison results are normal, the value of L4 is 1, and when only one comparison result is normal, the value is 0.5, otherwise the value is 0.
In a specific embodiment, the first preset threshold may be selected to be 1.8, and the second preset threshold may be selected to be 2.0.
And 5, carrying out weighted summation after normalization by using the first health value, the second health value, the third health value and the fourth health value, and determining a final lithium battery health evaluation result. The weight corresponding to each health value may be determined by principal component analysis in particular embodiments.
After the final lithium battery health evaluation result is obtained, the final lithium battery health evaluation result is compared with a pre-stored health grading system to determine the health state of the lithium battery, including health, sub-health, faults and serious faults.
In the specific implementation process, related early warning can be carried out for each health value, for example, when the third health value L3 is too large and exceeds a warning line, high-temperature early warning of the battery is needed, and timely stopping of charge and discharge operation is prompted.
Still another embodiment discloses a lithium battery health assessment system based on BMS communication detection technology, see fig. 2, including:
the lithium battery data acquisition unit is used for acquiring real-time data of total voltage, total current and temperature of the lithium battery detected by the lithium battery BMS system in the whole charging and discharging period and detecting alternating current internal resistance and direct current internal resistance of the lithium battery;
The curve fitting unit is used for fitting to obtain a total voltage change curve, a total current change curve and a temperature change curve of the lithium battery in the whole charge and discharge period;
The first scoring unit is used for determining a first health value according to the total voltage change curve, determining a second health value according to the total current change curve, and determining a third health value according to the temperature change curve;
the second scoring unit is used for determining a fourth health value according to the alternating current internal resistance and the direct current internal resistance of the lithium battery;
And the health evaluation unit is used for carrying out weighted summation after normalization by using the first health value, the second health value, the third health value and the fourth health value to determine a final lithium battery health evaluation result.
The method and the system for health evaluation of the lithium battery can be applied to health evaluation of the lithium battery of the electric bicycle, and provide an important basis for normal use of the electric bicycle, especially for user safety guarantee.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. A lithium battery health assessment method based on BMS communication detection technology is characterized by comprising the following steps:
Step 1, acquiring real-time data of total voltage, total current and temperature of a lithium battery detected by a lithium battery BMS system in the whole charge-discharge period, and detecting alternating current internal resistance and direct current internal resistance of the lithium battery;
Step 2, fitting to obtain a total voltage change curve, a total current change curve and a temperature change curve of the lithium battery in the whole charge and discharge period;
Step 3, determining a first health value according to the total voltage change curve, determining a second health value according to the total current change curve, and determining a third health value according to the temperature change curve;
the method for determining the first health value according to the total voltage change curve comprises the following steps:
Respectively acquiring a voltage maximum value and a voltage maximum change rate in a charging process and a voltage maximum value and a voltage maximum change rate in a discharging process according to the total voltage change curve;
Comparing the maximum voltage and the maximum voltage change rate in the charging process and the maximum voltage change rate in the discharging process with corresponding preset thresholds, and determining a first health value according to the difference;
Determining a second health value according to the total current change curve, wherein the specific method comprises the following steps of:
According to the total current change curve, respectively obtaining a current maximum value and a current maximum change rate in the charging process and a current maximum value and a current maximum change rate in the discharging process;
comparing the maximum current value and the maximum current change rate in the charging process and the maximum current value and the maximum current change rate in the discharging process with corresponding preset thresholds, and determining a second health value according to the difference;
according to the temperature change curve, a third health value is determined, and the specific method comprises the following steps:
According to the temperature change curve, respectively obtaining the maximum temperature value and the maximum temperature change rate in the charging process and the maximum temperature value and the maximum temperature change rate in the discharging process;
comparing the maximum temperature and the maximum change rate of the temperature in the charging process and the maximum temperature and the maximum change rate of the temperature in the discharging process with corresponding preset thresholds, and determining a third health value according to the difference;
Step 4, determining a fourth health value according to the alternating current internal resistance and the direct current internal resistance of the lithium battery:
comparing the alternating current internal resistance with an alternating current internal resistance initial value to obtain a first comparison result, wherein if the ratio is smaller than or equal to a first preset threshold value, the alternating current internal resistance is judged to be normal, otherwise, the alternating current internal resistance is judged to be abnormal;
comparing the direct current internal resistance with the alternating current internal resistance to obtain a second comparison result, wherein if the ratio is smaller than or equal to a second preset threshold value, the direct current internal resistance is judged to be normal, otherwise, the direct current internal resistance is judged to be abnormal;
Determining a fourth health value according to the first comparison result and the second comparison result;
and 5, carrying out weighted summation after normalization by using the first health value, the second health value, the third health value and the fourth health value, and determining a final lithium battery health evaluation result.
2. The method for evaluating the health of the lithium battery based on the BMS communication detection technology according to claim 1, wherein in the step 1, an alternating current internal resistance ACR of the lithium battery is collected by using an alternating current internal resistance meter;
The direct current internal resistance DCR is determined according to the difference between the open circuit voltage of the battery and the lithium battery voltage after charge/discharge, and the charge/discharge current value.
3. The method for evaluating the health of a lithium battery based on the BMS communication detection technology according to claim 1, wherein the preset threshold is an average value of operating state parameter values of a plurality of normal lithium batteries under normal operation.
4. The method for evaluating the health of the lithium battery based on the BMS communication detection technology according to claim 1, wherein in the step 5, after the final lithium battery health evaluation result is obtained, the final lithium battery health evaluation result is compared with a pre-stored health grading system to determine the health state of the lithium battery, including health, sub-health, failure and serious failure.
5. Lithium battery health evaluation system based on BMS communication detection technique, characterized by comprising:
the lithium battery data acquisition unit is used for acquiring real-time data of total voltage, total current and temperature of the lithium battery detected by the lithium battery BMS system in the whole charging and discharging period and detecting alternating current internal resistance and direct current internal resistance of the lithium battery;
The curve fitting unit is used for fitting to obtain a total voltage change curve, a total current change curve and a temperature change curve of the lithium battery in the whole charge and discharge period;
The first scoring unit is used for determining a first health value according to the total voltage change curve, determining a second health value according to the total current change curve, and determining a third health value according to the temperature change curve;
the method for determining the first health value according to the total voltage change curve comprises the following steps:
Respectively acquiring a voltage maximum value and a voltage maximum change rate in a charging process and a voltage maximum value and a voltage maximum change rate in a discharging process according to the total voltage change curve;
Comparing the maximum voltage and the maximum voltage change rate in the charging process and the maximum voltage change rate in the discharging process with corresponding preset thresholds, and determining a first health value according to the difference;
Determining a second health value according to the total current change curve, wherein the specific method comprises the following steps of:
According to the total current change curve, respectively obtaining a current maximum value and a current maximum change rate in the charging process and a current maximum value and a current maximum change rate in the discharging process;
comparing the maximum current value and the maximum current change rate in the charging process and the maximum current value and the maximum current change rate in the discharging process with corresponding preset thresholds, and determining a second health value according to the difference;
according to the temperature change curve, a third health value is determined, and the specific method comprises the following steps:
According to the temperature change curve, respectively obtaining the maximum temperature value and the maximum temperature change rate in the charging process and the maximum temperature value and the maximum temperature change rate in the discharging process;
comparing the maximum temperature and the maximum change rate of the temperature in the charging process and the maximum temperature and the maximum change rate of the temperature in the discharging process with corresponding preset thresholds, and determining a third health value according to the difference;
the second scoring unit is used for determining a fourth health value according to the alternating current internal resistance and the direct current internal resistance of the lithium battery:
comparing the alternating current internal resistance with an alternating current internal resistance initial value to obtain a first comparison result, wherein if the ratio is smaller than or equal to a first preset threshold value, the alternating current internal resistance is judged to be normal, otherwise, the alternating current internal resistance is judged to be abnormal;
comparing the direct current internal resistance with the alternating current internal resistance to obtain a second comparison result, wherein if the ratio is smaller than or equal to a second preset threshold value, the direct current internal resistance is judged to be normal, otherwise, the direct current internal resistance is judged to be abnormal;
Determining a fourth health value according to the first comparison result and the second comparison result;
And the health evaluation unit is used for carrying out weighted summation after normalization by using the first health value, the second health value, the third health value and the fourth health value to determine a final lithium battery health evaluation result.
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