CN-122020233-A - Electrical safety grading evaluation method for lithium ion battery energy storage system based on fuzzy analytic hierarchy process

CN122020233ACN 122020233 ACN122020233 ACN 122020233ACN-122020233-A

Abstract

The invention discloses a fuzzy analytic hierarchy process-based electrical safety grading evaluation method for a lithium ion battery energy storage system, which comprises the following steps of S1: constructing a hierarchical structure index system, wherein the hierarchical structure index system comprises a target layer, a criterion layer and an index layer, the target layer is the electrical safety evaluation of the lithium ion battery energy storage system, and the criterion layer comprises system file data examination, key component electrical safety evaluation and system overall electrical safety evaluation; s2: establishing fuzzy complementary judgment matrixes of the criterion layer relative to the target layer and the index layer relative to the criterion layer, converting the fuzzy complementary judgment matrixes into fuzzy consistent matrixes, calculating weight values of all layers, and finally obtaining final weight values of all indexes of the index layer relative to the target layer; s3: system document data examination and evaluation; s4: evaluating electrical safety of key components; s5: evaluating the overall electrical safety of the system; s6: calculating the final score of the system to be evaluated; s7: and carrying out grading evaluation on the electrical safety of the system. The evaluation method evaluates quickly and easily.

Inventors

GU ZEBO
HUANG KUN
TANG HONG
ZHANG SIYAO
CHEN JUN

Assignees

威凯检测技术有限公司
中国电器科学研究院股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251208

Claims (4)

1. The electrical safety grading evaluation method of the lithium ion battery energy storage system based on the fuzzy analytic hierarchy process is characterized by comprising the following steps: S1, constructing a hierarchical structure index system for electrical safety evaluation of a lithium ion battery energy storage system based on a fuzzy analytic hierarchy process, wherein the hierarchical structure index system comprises a target layer, a criterion layer and an index layer, the target layer is the electrical safety evaluation of the lithium ion battery energy storage system, and the criterion layer comprises system file data examination, key component electrical safety evaluation and system overall electrical safety evaluation; S2, establishing fuzzy complementary judgment matrixes of the criterion layer relative to the target layer and the index layer relative to the criterion layer, converting the fuzzy complementary judgment matrixes into fuzzy consistent matrixes, calculating weight values of all layers, and finally obtaining final weight values of all indexes of the index layer relative to the target layer; s3, evaluating system file data, namely acquiring the data of the lithium ion battery energy storage system and the components to be evaluated from an information source, and scoring each index layer, wherein each index at least meets the basic condition of qualified index, and if not, the next step is not carried out; S4, evaluating the electrical safety of the key component, namely acquiring a sample of the key component of the energy storage system from an information source, testing each index of a corresponding index layer, and scoring according to a test result, wherein each index at least meets the basic condition of a qualified index, and if the index does not meet the basic condition, the next step is not carried out; S5, evaluating the overall electrical safety of the system, namely acquiring an energy storage system sample from an information source, testing each index of a corresponding index layer, and scoring according to a test result, wherein each index at least meets the standard index as a basic condition, and if not, not carrying out the next step; S6, calculating the final score of the system to be evaluated through the final weight value of each index of the index layer obtained in the step S2 relative to the target layer and each index score obtained in the steps S3-S5; And S7, carrying out electric safety grading evaluation on the lithium ion battery energy storage system according to the final score obtained in the step S6 and the grading evaluation rule.
2. The electrical safety grading evaluation method of the lithium ion battery energy storage system based on the fuzzy analytic hierarchy process of claim 1, wherein the step S2 specifically comprises the following calculation process: S21, establishing a fuzzy complementary judgment matrix, namely inviting a set number of experts in the electrochemical energy storage field to compare two elements by using a 0.1-0.9 scale method to obtain the fuzzy complementary judgment matrix, Fuzzy complementary judgment matrix Wherein: R represents a fuzzy complementary judgment matrix of the importance degree of the same hierarchical element a 1 ,a 2 ,…,a n in a pairwise manner; r ij denotes the importance of the element a i and the element a j with respect to the previous hierarchical object, r ij +r ji =1; s22, converting the fuzzy complementary judgment matrix into a fuzzy consistent matrix by adopting a row and normalization method, wherein the row and calculation formula is as follows: Further elements of the transformed fuzzy consistent moment are calculated as: Wherein n is the matrix order; the fuzzy consistent matrix of the conversion is R '= (R' ij ) n×n ; Further, verifying the fuzzy consistency matrix by checking whether r' ij ＝1-r′ ji is true; s23, calculating the weight W i of the fuzzy uniform matrix R' by a row and normalization method, firstly calculating the sum of elements of each row of the fuzzy uniform matrix R Normalizing the row sums to obtain a single-layer index weight calculation formula S24, based on the method of the steps S21-S23, firstly calculating the weight of the criterion layer relative to the target layer, then calculating the weight of the index layer relative to the criterion layer, and calculating the final weight value of each index of the index layer relative to the target layer through the following formula; w i ＝w Ci ×w Pi ; wherein: w i is the weight value of a certain index relative to the target layer; w Ci is the weight value of the criterion layer where the index is located relative to the target layer; w Pi is the weight of the index relative to the criterion layer.
3. The method for classifying and evaluating the electrical safety of the lithium ion battery energy storage system based on the fuzzy analytic hierarchy process of claim 1, wherein in the step S4, the key component samples comprise battery modules, battery clusters, BMS and PCS samples.
4. The electrical safety grading evaluation method for the lithium ion battery energy storage system based on the fuzzy analytic hierarchy process of claim 1, wherein the grading evaluation rule in the step S7 is to divide the evaluation result into three grades of qualification, good and excellent according to the score, wherein the score [60,80 ] is the qualification grade, the score [80,90 ] is the good grade, and the score [90,100] is the excellent grade.

Description

Electrical safety grading evaluation method for lithium ion battery energy storage system based on fuzzy analytic hierarchy process Technical Field The invention belongs to the field of electrical safety evaluation of electrochemical energy storage systems, and particularly relates to an electrical safety evaluation index system of a lithium ion battery energy storage system based on a fuzzy analytic Hierarchy process (FAHP, fuzzyAnalytical Hierarchy) and a grading method according to an evaluation result. Background Electrical safety evaluation is an important way for guaranteeing stable operation and sustainable development of an electrochemical energy storage system. Electrochemical energy storage system electrical safety assessment is a systematic problem, covering the key components of Battery cells, battery modules, battery clusters, converters (PCS, power Conversion System), battery management systems (BMS, battery MANAGEMENT SYSTEM), energy management systems (EMS, energy Management System), and thermal management systems. At present, the research on the safety evaluation of an electrochemical energy storage system is relatively limited, and most standards and researches are directed to components formed by the system, such as batteries including GB/T36276, IEC 62619, IEC 63056 and the like, BMS including GB/T34131, PCS including GB/T34120, IEC 62477-1 and the like. For energy storage systems, IEC 62933-5-2, UL 9540, GB/T44026 and the like, the energy storage system is mainly a market admission standard of basic safety and performance. The patent document with the publication number of CN 120317673A discloses a safety evaluation method and a safety evaluation system of an energy storage system, which are characterized in that a safety risk evaluation index system of the energy storage system is built according to the energy storage system to be evaluated, the weight of each index is calculated, cloud characteristic values of each index are obtained according to the calculated weight values of each index, comprehensive cloud characteristic values of each index are obtained according to the calculation of the cloud characteristic values of each index, a comprehensive evaluation cloud chart and a secondary index evaluation cloud chart are generated based on the obtained comprehensive cloud characteristic values of each index, and the membership degree of the comprehensive evaluation cloud to each safety evaluation grade is calculated based on the comprehensive evaluation cloud chart. The patent document with the publication number of CN118050646A discloses an on-line safety evaluation and risk early warning positioning strategy of battery energy storage based on the FAHP method, and the evaluation is mainly based on 2 components of a battery cell and a battery module without systematic evaluation aiming at on-line detection in the operation process of building an energy storage system. The patent document with the publication number of CN117196308A discloses a safety risk evaluation method and a device for an energy storage system, which are used for acquiring the safety risk of a battery of the energy storage system, scoring each safety index of the energy storage power station to obtain a safety index standard matrix, obtaining a weight forward-oriented matrix formed by the risk evaluation indexes of the energy storage power station according to the safety index standard matrix and the index weight matrix, normalizing the weight forward-oriented matrix to obtain a standardized matrix, obtaining positive ideal values and negative ideal values of the risk evaluation indexes of all the energy storage power stations according to the standardized matrix, obtaining a risk grade quantization score of the energy storage power station according to the positive ideal values and the negative ideal values of the risk evaluation indexes of the energy storage power station, and evaluating the risk grade according to the risk grade quantization score of the energy storage power station. The patent document with the publication number of CN 120317673A is mainly used for field evaluation of an electrochemical energy storage power station, is applied to safety evaluation and classification of the electrical design of a lithium ion battery energy storage system, and is used for pilot-scale evaluation, product quality acceptance evaluation and third party detection mechanism evaluation in enterprise research and development. The patent document with the publication number of CN118050646A is mainly aimed at on-line detection in the operation process of building an electrochemical energy storage system, and evaluation is mainly based on two components of a battery cell and a battery module, and is not systematically evaluated. The patent document with the publication number of CN 117196308A is mainly aimed at evaluating each safety risk factor and each safety state in the operation of the lithium ion battery energy storag