重庆大学学报2023,Vol.46Issue(11):78-89,12.DOI:10.11835/j.issn.1000-582X.2023.203
改进灰狼优化最小二乘支持向量机的锂电池剩余寿命预测
Lithium battery remaining life prediction method based on improved grey wolf optimization least squares support vector machine
摘要
关键词
锂电池/剩余寿命/灰狼优化/最小二乘支持向量机/莱维飞行Key words
lithium battery/remaining life/gray wolf optimization/least squares support vector machine/Levy flight分类
信息技术与安全科学引用本文复制引用
郑青根,杨祥国,刘冬,李昕..改进灰狼优化最小二乘支持向量机的锂电池剩余寿命预测[J].重庆大学学报,2023,46(11):78-89,12.基金项目
国家重点研发计划资助项目(2019YFE0104600) (2019YFE0104600)
国家自然科学基金资助项目(51909199,52271329).Supported by National Key Research and Development Program Project(2019YFE0104600)and National Natural Science Foundation of China(51909199,52271329). (51909199,52271329)