A novel intelligent health prediction method for lithium‐ion batteries within a variable voltage range

Summary As the Internet of Vehicles and cloud computing have rapidly developed, they have become increasingly relevant to the online prediction of the state of health (SOH) of lithium‐ion batteries (LIBs). To accurately and robustly predict the SOH of LIBs within a variable voltage range, a novel in...

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Vydáno v:	International journal of energy research Ročník 46; číslo 15; s. 20985 - 21000
Hlavní autoři:	Tan, Xiaojun, Zhuang, Huanbiao, Song, Xinman, Wang, Huanyu, Fan, Yuqian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Chichester, UK John Wiley & Sons, Inc 01.12.2022
Témata:	Aging attention‐based encoder‐decoder framework Batteries Cloud computing Coders Electric potential Feature extraction Internet of Vehicles Lithium Lithium-ion batteries Lithium‐ion battery one‐dimensional convolution Prediction models state of health Voltage
ISSN:	0363-907X, 1099-114X
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