An attention-enhanced multi-scale feature fusion framework for accurate joint prediction of battery SOH and RUL

Precise prediction of state-of-health (SOH) and remaining useful life (RUL) for lithium-ion batteries (LIBs) is pivotal to optimizing the battery management system (BMS) and advancing sustainable energy systems, yet remains challenging due to local steep drops and capacity regeneration phenomenon. T...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Sicheng Wan, Yibo Wang, Jiangshuang Huang, Sihui Xue, Xiangyu Zhang, Xinman Chen, Junxi Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-06-01
Serie:	Energy Reports
Soggetti:	State-of-health (SOH) Remaining useful life (RUL) Capacity regeneration phenomenon Battery management Lithium-ion battery
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2352484726003197
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!