重庆邮电大学教师主页李鹏华--Home-- 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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Paper Publications

Hits: Release time:2021-12-23

Affiliation of Author(s):重庆邮电大学
Title of Paper: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）
Journal:Renewable and Sustainable Energy Reviews
Indexed by:Journal paper
Discipline:Engineering
Document Type:J
Translation or Not:no
Included Journals:SCI

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