电机与控制应用2024，Vol.51Issue(2)：1-9,9.DOI:10.12177/emca.2023.186
基于电压极差特征的储能电池组早期健康状态检测
Early Health Status Detection of Energy Storage Battery Pack Based on Voltage Range Characteristics
摘要
Abstract
In order to evaluate the state of health(SOH)of energy storage battery packs more efficiently,an early health status detection method based on voltage range characteristics is proposed.Firstly,the cyclic aging experiment is carried out based on the large-capacity lithium iron phosphate battery pack,and the voltage range signal of each cycle is measured,and the voltage characteristics of key time points are extracted from it.Secondly,health factors highly related to battery aging are screened based on Pearson correlation coefficient and grey correlation degree analysis(GRA).Finally,the Sparrow search algorithm(SSA)is used to optimize Bi-bidirectional long short-term memory(BiLSTM)hyperparameters,and SSA-BILSTM health state estimation model is built,and realize SOH evaluation of energy storage battery pack.The effectiveness of the health factor and the superiority of the estimation model are verified by the conventional machine learning algorithm.The results show that the extracted voltage range characteristics of charging and discharging for 30 min can effectively reflect the decline trend of battery pack capacity,and the estimated error of SOH is less than±0.8％under various models.The root mean square error(RMSE)of the SSA-BiLSTM model proposed in this paper is as low as 0.07％.Therefore,this method can effectively monitor the SOH of large-capacity energy storage battery packs online.关键词
磷酸铁锂储能电池组/健康状态评估/电压极差/麻雀搜索算法/双向长短时记忆网络/在线监测Key words
lithium iron phosphate energy storage battery pack/health status assessment/voltage range/sparrow search algorithm/bidirectional long short-term memory network/online monitoring分类
信息技术与安全科学引用本文复制引用
朱沐雨,马宏忠,宣文婧..基于电压极差特征的储能电池组早期健康状态检测[J].电机与控制应用,2024,51(2):1-9,9.基金项目
国家自然科学基金项目(51577050) （51577050）
国网江苏省电力有限公司重点科技项目(J2022158)National Natural Science Foundation Project(51577050) （J2022158）
Technology Project of State Grid Jiangsu Power Co.,LTD(J2022158) （J2022158）
