重庆邮电大学教师主页李鹏华--中文主页-- Li P*, Zhang Z, Grosu R, et al. An end-to-end neural network framework for state-of-health estimation and remaining useful life prediction of electric vehicle lithium batteries[J]. Renewable and Sustainable Energy Reviews, 2022, 156: 111843. （SCI一区TOP，IF=16.799）

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Li P*, Zhang Z, Grosu R, et al. An end-to-end neural network framework for state-of-health estimation and remaining useful life prediction of electric vehicle lithium batteries[J]. Renewable and Sustainable Energy Reviews, 2022, 156: 111843. （SCI一区TOP，IF=16.799）

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所属单位：重庆邮电大学

发表刊物：Renewable and Sustainable Energy Reviews

论文类型：期刊论文

学科门类：工学

文献类型：J

是否译文：否

收录刊物：SCI

下一条： Li P, Zhang Z, Xiong Q, et al.State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network(SCI一区TOP,IF=9.551)

李鹏华 (教授)