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

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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Bibliographic Details
Main Authors: Catherine Rincón-Maya, Fernando Guevara-Carazas, Freddy Hernández-Barajas, Carmen Patino-Rodriguez, Olga Usuga-Manco
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Energies
Subjects:
RUL prediction
ICC
CNN
LSTM networks
R package
deep learning
Online Access:https://www.mdpi.com/1996-1073/16/20/7081

Internet

https://www.mdpi.com/1996-1073/16/20/7081

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