A novel state-of-health prediction method based on long short-term memory network with attention mechanism for lithium-ion battery

A novel state-of-health prediction method based on long short-term memory network with attention mechanism for lithium-ion battery

The state-of-health (SOH) of lithium-ion batteries is one of the important core issues of battery management systems (BMS). After the battery reaches its end of life (EOL), its safety performance will deteriorate rapidly, which will be a huge threat to electric vehicles (EVs). Therefore, the accurat...

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Bibliografiska uppgifter
Huvudupphovsmän: Xiaodong Zhang, Jing Sun, Yunlong Shang, Song Ren, Yiwei Liu, Diantao Wang
Materialtyp: Artikel
Språk:English
Publicerad: Frontiers Media S.A. 2022-08-01
Serie:Frontiers in Energy Research
Ämnen:
electric vehicles
lithium-ion batteries
state of health
long short-term memory
attention mechanism
Länkar:https://www.frontiersin.org/articles/10.3389/fenrg.2022.972486/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.972486/full

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