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...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Sicheng Wan, Yibo Wang, Jiangshuang Huang, Sihui Xue, Xiangyu Zhang, Xinman Chen, Junxi Zhang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2026-06-01
Reeks:	Energy Reports
Onderwerpen:	State-of-health (SOH) Remaining useful life (RUL) Capacity regeneration phenomenon Battery management Lithium-ion battery
Online toegang:	http://www.sciencedirect.com/science/article/pii/S2352484726003197
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!