CN-121995262-A - Lithium battery life monitoring and health state autonomous protection system and method

CN121995262ACN 121995262 ACN121995262 ACN 121995262ACN-121995262-A

Abstract

The invention relates to the technical field of electromagnetic measurement and discloses a lithium battery life monitoring and health state autonomous protection system and method, wherein the system comprises a data acquisition module, a trend consistency analysis module, a health evaluation report generation module, a health deviation degree verification module, a worsening risk deduction module and an autonomous protection strategy generation module, wherein the system acquires multi-dimensional electric parameters of lithium battery operation, eliminates abnormal fluctuation through a time sequence window and obtains a time sequence association parameter set; based on the health state characteristic matching analysis, an initial health evaluation report is generated and then verified with historical data to obtain the degree of health deviation, deterioration risk deduction is carried out by combining the parameter trend change rate, and the optimized health evaluation and life early warning are output, so that the corresponding autonomous protection strategy is matched and started.

Inventors

LIAO CHENGXIANG
LI LONGJIE
YANG QING

Assignees

深圳市森美康科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260327

Claims (10)

1. The lithium battery life monitoring and health state autonomous protection system is characterized by comprising a data acquisition module, a trend consistency analysis module, a health evaluation report generation module, a health deviation degree verification module, a worsening risk deduction module and an autonomous protection strategy generation module, wherein: The data acquisition module is used for acquiring battery terminal voltage, charge-discharge current and internal resistance change rate in the operation process of the lithium battery to obtain a multi-dimensional electrical parameter data set of the lithium battery; the trend consistency analysis module is used for carrying out consistency comparison on the parameter trends of adjacent time sequence windows based on a preset time sequence window and combining the change trend characteristics of the parameters in the multi-dimensional electrical parameter data set so as to remove random abnormal fluctuation data in the multi-dimensional electrical parameter data set and obtain a time sequence associated parameter set of the lithium battery; The health evaluation report generation module is used for carrying out matching association analysis on key feature parameters in the time sequence association parameter set based on the electrical parameter features of the lithium battery in the health state to obtain an initial health state evaluation report of the lithium battery; The health deviation degree checking module is used for carrying out consistency check on the initial health state evaluation result and the historical synchronous health state evaluation data of the lithium battery to obtain the health state deviation degree of the lithium battery; The worsening risk deduction module is used for deducting the worsening risk of the health state of the lithium battery in a subsequent operation period based on the deviation degree of the health state and the trend change rate of the time sequence association parameter set to obtain an optimized battery health state evaluation report and life risk early warning information of the lithium battery; The autonomous protection strategy generation module is used for screening out the corresponding autonomous protection strategy in a preset battery protection regulation strategy library according to the optimized battery health state evaluation report and the life risk early warning information.
2. The lithium battery life monitoring and health status autonomous protection system according to claim 1, wherein the data acquisition module is configured to, when executing the acquisition of the battery terminal voltage, the charge-discharge current and the internal resistance change rate in the lithium battery operation process, obtain the multi-dimensional electrical parameter data set of the lithium battery: collecting real-time electric signals of the lithium battery through an electric signal transmission link when the lithium battery operates; performing multistage anti-interference filtering purification on the real-time electric signal to obtain a pure electric signal of the lithium battery; Accurately capturing the signal amplitude of the pure electric signal based on the parameter characteristics of the pure electric signal; performing wavelet transformation on the pure electric signal according to the signal amplitude to obtain characteristic signals of battery terminal voltage, charge-discharge current and internal resistance change rate in the lithium battery; and based on the electrical parameter storage specification of the lithium battery, carrying out format standardization calibration on the characteristic signals to obtain a multi-dimensional electrical parameter data set of the lithium battery.
3. The autonomous lithium battery life monitoring and health status protection system according to claim 1, wherein the trend consistency analysis module is configured to, when executing a time sequence related parameter set based on a preset time sequence window and combining the change trend characteristics of parameters in the multi-dimensional electrical parameter data set, perform consistency comparison on the parameter trends of adjacent time sequence windows to eliminate random abnormal fluctuation data in the multi-dimensional electrical parameter data set, and obtain the time sequence related parameter set of the lithium battery: Based on the time sequence distribution characteristics of the multi-dimensional electric parameter data set, carrying out self-adaptive time sequence window division on the multi-dimensional electric parameter data set to obtain a continuous time sequence window in the multi-dimensional electric parameter data set and a parameter subset corresponding to the time sequence window; Performing trend fitting on the parameter subset by a least square method to obtain a trend curve and a trend feature vector of the parameter subset; And carrying out trend consistency quantization on the trend curve based on trend feature vectors of adjacent time sequence windows to obtain trend consistency coefficients of the adjacent time sequence windows, wherein a calculation formula of the trend consistency coefficients is as follows: ; in the formula, Representing the coefficient of uniformity of the trend, Representing the dimensions of the trend feature vector, Representing the first of the trend feature vectors The preset weights of the individual features are set, The first time sequence of the trend feature vector in the previous time sequence window The number of components of the composition, Representing the first trend feature vector in the next time window A component; Identifying adjacent time sequence windows of which the trend consistency coefficients exceed a preset consistency threshold value, and marking the adjacent time sequence windows as abnormal time sequence windows of the lithium battery; And removing random abnormal fluctuation data in the multi-dimensional electrical parameter data set based on the parameter subset corresponding to the abnormal time sequence window to obtain a time sequence associated parameter set of the lithium battery.
4. The autonomous lithium battery life monitoring and health status protection system of claim 3, wherein the trend consistency analysis module is configured to, when executing the parameter subset corresponding to the abnormal time sequence window, reject random abnormal fluctuation data in the multi-dimensional electrical parameter data set to obtain the time sequence related parameter set of the lithium battery: Extracting the parameter variation amplitude of a parameter subset in the abnormal time sequence window; Performing anomaly cause tracing judgment on the parameter variation amplitude to distinguish anomaly types of the parameter subset; Based on the abnormal type, accurately screening out data of the parameter subset marked as random fluctuation to obtain a primarily screened parameter subset set of the lithium battery; and performing time sequence continuity check on the preliminarily screened parameter subset set to obtain a time sequence associated parameter set of the lithium battery.
5. The system for lithium battery life monitoring and health status autonomous protection according to claim 1, wherein the health assessment report generating module is configured to, when executing matching correlation analysis on key feature parameters in the time sequence correlation parameter set based on electrical parameter features of the lithium battery in a health status, obtain an initial health status assessment report of the lithium battery: Mapping the time sequence related parameter set to a standard electric parameter feature library of the lithium battery to obtain the sensitivity of electric parameters in the time sequence related parameter set to the health state of the lithium battery; The sensitivity is subjected to priority ranking, and the electrical parameters of which the sensitivity is higher than a preset sensitivity threshold value are reserved, so that key characteristic parameters of the time sequence association parameter set are obtained; matching and matching the key characteristic parameters with the corresponding characteristic ranges in the standard electrical parameter characteristic library dimension by dimension to obtain a multi-dimensional matching result of the key characteristic parameters; determining the influence weight of the key characteristic parameters according to the failure mechanism and the sensitivity of the lithium battery; Based on the influence weight, carrying out weighted comprehensive evaluation on the multi-dimensional matching result to obtain a preliminary health judgment result of the lithium battery; and carrying out format standardization integration on the preliminary health judgment result according to a preset report format specification to obtain an initial health state evaluation report of the lithium battery.
6. The lithium battery life monitoring and health status autonomous protection system according to claim 1, wherein the health deviation degree verification module is specifically configured to, when performing consistency verification of the initial health status evaluation result and the historical contemporaneous health status evaluation data of the lithium battery to obtain the health status deviation degree of the lithium battery: Performing dimension disassembly on the initial health state evaluation report to obtain a multidimensional evaluation result of the initial health state evaluation report; Based on the historical health state database of the lithium battery, retrieving historical health state evaluation data corresponding to the current monitoring period of the lithium battery, and aligning the multi-dimensional evaluation result with the parameter dimension and the statistical caliber of the historical health state evaluation data; Calculating an evaluation difference value of the parameter dimension after alignment, wherein the calculation formula of the evaluation difference value is as follows: ; in the formula, Represent the first The estimated variance value of the dimensions of the individual parameters, Indicating the current monitoring period of the lithium battery The evaluation value of the dimension of the individual parameters, Representing the first of the historical state of health assessment data An evaluation value of the individual parameter dimensions; Based on the influence weight of the parameter dimension, carrying out weighted fusion on the evaluation difference value to obtain the comprehensive deviation coefficient of the lithium battery; and mapping the comprehensive deviation coefficient to a preset deviation grade interval to determine the degree of deviation of the health state of the lithium battery.
7. The system for monitoring life and protecting health status of a lithium battery according to claim 1, wherein the worsening risk deduction module is configured to, when executing the trend change rate based on the degree of deviation of health status and the time-series related parameter set, deduce the worsening risk of health status of the lithium battery in a subsequent operation cycle, obtain an optimized battery health status evaluation report and life risk early warning information of the lithium battery, and specifically: performing time sequence change rate analysis on the key characteristic parameters in the time sequence associated parameter set to obtain a trend change rate set of the key characteristic parameters; Calculating a deterioration risk coefficient of the lithium battery health state based on the health state deviation degree and the trend change rate set; Based on the deterioration risk coefficient, combining a risk class classification rule of the lithium battery, judging the deterioration tendency type of the lithium battery to obtain the deterioration tendency type of the lithium battery; carrying out risk situation deduction on the health state of the lithium battery according to the deterioration trend type to obtain the deterioration trend of the health state of the lithium battery; Performing completion correction on the initial health state evaluation report based on the health state deterioration trend to obtain an optimized battery health state evaluation report of the lithium battery; And marking corresponding life risk early warning information in the optimized battery health state evaluation report according to the risk grade corresponding to the worsening risk coefficient.
8. The lithium battery life monitoring and health status autonomous protection system of claim 7, wherein said worsening risk factor is calculated as follows: ; in the formula, Representing the risk factor of said deterioration, A comprehensive deviation coefficient corresponding to the degree of deviation of the health state is represented, Indicating a preset trend impact coefficient, Representing the number of said key feature parameters, Represent the first The deterioration of the individual key feature parameters affects the weight, Represent the first Trend rate of change of the individual key characteristic parameters.
9. The system for monitoring life and protecting health status of lithium battery according to claim 1, wherein the autonomous protection policy generation module is configured to, when executing the autonomous protection policy corresponding to the preset battery protection regulation policy library according to the optimized battery health status evaluation report and the life risk early warning information, screen out the autonomous protection policy corresponding to the preset battery protection regulation policy library: carrying out structural analysis on the optimized battery health state evaluation report to obtain a health problem analysis result of the lithium battery; Extracting a risk grade and a risk influence range in the life risk early warning information to obtain risk characteristic information of the lithium battery; screening out corresponding battery protection strategies in a preset battery protection regulation strategy library based on the analysis result of the health problem and the risk characteristic information to obtain a candidate protection strategy set of the lithium battery; performing suitability simulation verification on the candidate protection strategy set to obtain a suitability score of the candidate protection strategy set; And taking the battery protection strategy with the highest fitness score as an autonomous protection strategy of the lithium battery.
10. A lithium battery life monitoring and health status autonomous protection method, characterized by being used for using a lithium battery life monitoring and health status autonomous protection system as claimed in claim 1, the method comprising: s1, acquiring battery terminal voltage, charge-discharge current and internal resistance change rate in the operation process of a lithium battery, and obtaining a multi-dimensional electrical parameter data set of the lithium battery; S2, based on a preset time sequence window, combining the change trend characteristics of parameters in the multi-dimensional electrical parameter data set, carrying out consistency comparison on the parameter trends of adjacent time sequence windows to remove random abnormal fluctuation data in the multi-dimensional electrical parameter data set, and obtaining a time sequence associated parameter set of the lithium battery; s3, carrying out matching association analysis on key feature parameters in the time sequence association parameter set based on the electrical parameter features of the lithium battery in the health state to obtain an initial health state evaluation report of the lithium battery; s4, carrying out consistency check on the initial health state evaluation result and the historical synchronous health state evaluation data of the lithium battery to obtain the degree of deviation of the health state of the lithium battery; S5, carrying out worsening risk deduction on the health state of the lithium battery in a subsequent operation period based on the deviation degree of the health state and the trend change rate of the time sequence association parameter set to obtain an optimized battery health state evaluation report and life risk early warning information of the lithium battery; And S6, screening out the corresponding autonomous protection strategy in a preset battery protection regulation strategy library according to the optimized battery health state evaluation report and the life risk early warning information.

Description

Lithium battery life monitoring and health state autonomous protection system and method Technical Field The invention relates to the technical field of electromagnetic measurement, in particular to an autonomous lithium battery life monitoring and health state protection system and method. Background In the field of lithium battery life monitoring and health state protection, the prior art has a remarkable short plate in the data acquisition and processing link. The method is difficult to effectively purify and screen the multidimensional electric parameters collected in the operation process, random abnormal fluctuation data cannot be accurately removed, and interference deviation exists in parameter data which are dependent on subsequent analysis. The reliability of the health state feature matching analysis based on the data is lacking, and the generated health evaluation result is difficult to truly reflect the actual working condition of the lithium battery, so that the accurate judgment of the health state of the battery is affected. Meanwhile, the prior art is poor in health state risk pre-judging and protecting policy executing effects. Most of the method can not be fully combined with the degree of deviation of the health state and the change rate of the trend of the parameter to carry out comprehensive deduction, so that the health deterioration risk of the lithium battery is difficult to recognize in advance, and the timeliness and the accuracy of life early warning are insufficient. In addition, the existing protection strategies are mainly immobilized, the suitability of specific health problems and risk grades of the lithium battery is lacked, the protection schemes cannot be matched with the specific protection schemes autonomously, the protection measures are lagged or the requirements are not met, the aging speed of the battery is difficult to be effectively delayed, and sufficient guarantee cannot be provided for safe and stable operation of the lithium battery. Disclosure of Invention The invention provides a lithium battery life monitoring and health state autonomous protection system and method for solving the problems in the background technology. In order to achieve the above objective, the present invention provides an autonomous protection system for lithium battery life monitoring and health status, which is characterized in that the system comprises a data acquisition module, a trend consistency analysis module, a health evaluation report generation module, a health deviation degree verification module, a worsening risk deduction module and an autonomous protection strategy generation module, wherein: The data acquisition module is used for acquiring battery terminal voltage, charge-discharge current and internal resistance change rate in the operation process of the lithium battery to obtain a multi-dimensional electrical parameter data set of the lithium battery; the trend consistency analysis module is used for carrying out consistency comparison on the parameter trends of adjacent time sequence windows based on a preset time sequence window and combining the change trend characteristics of the parameters in the multi-dimensional electrical parameter data set so as to remove random abnormal fluctuation data in the multi-dimensional electrical parameter data set and obtain a time sequence associated parameter set of the lithium battery; The health evaluation report generation module is used for carrying out matching association analysis on key feature parameters in the time sequence association parameter set based on the electrical parameter features of the lithium battery in the health state to obtain an initial health state evaluation report of the lithium battery; The health deviation degree checking module is used for carrying out consistency check on the initial health state evaluation result and the historical synchronous health state evaluation data of the lithium battery to obtain the health state deviation degree of the lithium battery; The worsening risk deduction module is used for deducting the worsening risk of the health state of the lithium battery in a subsequent operation period based on the deviation degree of the health state and the trend change rate of the time sequence association parameter set to obtain an optimized battery health state evaluation report and life risk early warning information of the lithium battery; The autonomous protection strategy generation module is used for screening out the corresponding autonomous protection strategy in a preset battery protection regulation strategy library according to the optimized battery health state evaluation report and the life risk early warning information. In a preferred embodiment, the data acquisition module is specifically configured to, when executing the acquisition of the battery terminal voltage, the charge-discharge current and the internal resistance change rate in the operation process of the