Comparing Hybrid Approaches of Deep Learning for Remaining Useful Life Prognostic of Lithium-Ion Batteries

Many published journals used hybrid deep learning methods to predict batteries’ remaining useful life by adopting different rationales to select and combine deep learning methods aiming to propose the most accurate prediction model possible. The main contribution of this article consists of p...

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Huvudupphov:	Anas Tiane, Chafik Okar, Mohamad Alzayed, Hicham Chaoui
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2024-01-01
Serie:	IEEE Access
Ämnen:	Lithium-ion battery remaining useful life deep neural network machine learning
Länkar:	https://ieeexplore.ieee.org/document/10510289/
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