Remaining Useful Life Prediction of Lithium-Ion Battery Using ICC-CNN-LSTM Methodology

In recent years, lithium-ion batteries have gained significant attention due to their crucial role in various applications, such as electric vehicles and renewable energy storage. Accurate prediction of the remaining useful life (RUL) of these batteries is essential for optimizing their performance...

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Autors principals:	Catherine Rincón-Maya, Fernando Guevara-Carazas, Freddy Hernández-Barajas, Carmen Patino-Rodriguez, Olga Usuga-Manco
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-10-01
Col·lecció:	Energies
Matèries:	RUL prediction ICC CNN LSTM networks R package deep learning
Accés en línia:	https://www.mdpi.com/1996-1073/16/20/7081
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