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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Veröffentlicht in:	International journal of energy research Jg. 46; H. 15; S. 20985 - 21000
Hauptverfasser:	Tan, Xiaojun, Zhuang, Huanbiao, Song, Xinman, Wang, Huanyu, Fan, Yuqian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Chichester, UK John Wiley & Sons, Inc 01.12.2022
Schlagworte:	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
Online-Zugang:	Volltext
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