A hybrid multi-head attention and Harris Hawks optimized Long Short-Term Memory model for high-precision lithium-ion battery remaining useful life prediction

Lithium-ion battery Remaining Useful Life (RUL) prediction with high accuracy is essential to guarantee the reliability, safety, and economic efficiency of energy storage systems (EESs). However, lithium-ion battery (LIB) degradation presents strong nonlinearity and dependency on time, which greatly...

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Hauptverfasser:	V. Ashok Gajapathi Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2026-09-01
Schriftenreihe:	Applications in Energy and Combustion Science
Schlagworte:	Remaining useful life Lithium-ion battery Long Short-Term Memory Multi-head attention mechanism Harris Hawks optimization Deep learning
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2666352X26000725
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