基于模糊综合评价的锂离子电池健康状态评估
摘要：锂离子电池健康状态的准确评估，对于储能系统的安全性具有重要意义。基于某实际运行的锂离子储能电站数据，通过提炼影响锂离子电池健康状态的关键参数，分别对电池电压标准分、充电容量和库伦效率进行单因素分析，通过变异系数法对单因素指标进行赋权，最后采用模糊综合评价法对电池整体健康状态进行量化评分。经评估，该储能电站锂离子电池整体健康状态良好，其中91.67%的锂离子电池健康度评分在85分以上，剩余8.33%的锂离子电池健康度评分低于85分但仍高于80分，且从单因素评估过程中发现，该部分电池开始出现一致性较差等现象，需要对该部分电池加强观测。研究提供了一种基于运行数据的、量化的、原位无损的锂离子电池健康状态评估方法，对储能电站的运行维护、安全稳定运行具有借鉴意义。
Abstract:Accurate assessment of the health status of lithium-ion batteries is of great significance for the safety of energy storage systems. Based on the data of a practical lithium-ion energy storage power station, the key parameters that affect the health status of lithium-ion batteries were refined firstly. After that, the effect factors in terms of battery voltage standard score, charging capacity and coulomb efficiency were analyzed, respectively. The single factor indicators through the coefficient of variation method were weighted. Finally, the fuzzy comprehensive evaluation method to quantitatively score the overall health status of batteries was used. According to the assessment, the lithium-ion batteries in the energy storage power station are in good overall health. 91.67% of the lithium-ion batteries have a health score of more than 85, and the remaining 8.33% of the lithium-ion batteries have a health score of less than 85 but still higher than 80. In addition, it is found from the single factor assessment that the consistency of batteries is poor. It is necessary to strengthen the observation of this part of the batteries. This paper provides a quantitative and in-situ non-destructive health status assessment method for lithium-ion batteries based on operation data, which has reference significance for guiding the operation and maintenance of energy storage power stations and ensuring the safe and stable operation.
标题：基于模糊综合评价的锂离子电池健康状态评估
title:Health Status Assessment of Lithium-ion Battery Based on Fuzzy Comprehensive Evaluation
作者：王宁, 陈志强, 刘明义, 张鹏, 曹曦, 陆泽宇, 雷浩东, 曹传钊, 严晓, 周国鹏
authors:Ning WANG, Zhiqiang CHEN, Mingyi LIU, Peng ZHANG, Xi CAO, Zeyu LU, Haodong LEI, Chuanzhao CAO, Xiao YAN, Guopeng ZHOU
关键词：储能,锂离子电池,健康状态评估,库伦效率,模糊综合评价,
keywords:energy storage,lithium-ion battery,health status assessment,coulomb efficiency,fuzzy comprehensive evaluation,
发表日期：2022-10-31
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