State of Charge Estimation Across Dynamic and Sub-Zero Thermal Conditions for Electric Vehicles

Accurate State of Charge (SOC) estimation is critical for ensuring the performance, safety, and longevity of lithium-ion battery systems, particularly under varying thermal and dynamic operating conditions such as in electric vehicles. Despite recent advances, existing deep learning approaches often...

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Detalles Bibliográficos

Autores principales:	Safi Bamati, Hicham Chaoui, Ali Yahyaouy, Hamid Gualous
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Access
Materias:	Lithium-ion batteries (LIBs) electric vehicles (EVs) machine learning (ML) long short-term memory (LSTM) battery state of charge (SOC) convolutional neural network (CNN)
Acceso en línea:	https://ieeexplore.ieee.org/document/11195123/
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