Adaptive Online State of Charge Estimation of EVs Lithium-Ion Batteries with Deep Recurrent Neural Networks

The State of Charge (SOC) estimation is a significant issue for safe performance and the lifespan of Lithium-ion (Li-ion) batteries. In this paper, a Robust Adaptive Online Long Short-Term Memory (RoLSTM) method is proposed to extract SOC estimation for Li-ion Batteries in Electric Vehicles (EVs). T...

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Detalles Bibliográficos

Principais autores:	Gelareh Javid, Djaffar Ould Abdeslam, Michel Basset
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-02-01
Series:	Energies
Assuntos:	electric vehicles (EVs) Lithium-ion (Li-ion) state of charge (SOC) Recurrent Neural Network (RNN) Long Short-Term memory (LSTM) robust and adaptive online gradient learning method (RoAdam)
Acceso en liña:	https://www.mdpi.com/1996-1073/14/3/758
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