Advancing battery state of charge estimation in electric vehicles through deep learning: A comprehensive study using real-world driving data

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Advancing battery state of charge estimation in electric vehicles through deep learning: A comprehensive study using real-world driving data

Accurately estimating the State of Charge (SOC) in Electric Vehicles (EVs) is critical for battery management and operational efficiency. This paper presents a Deep Learning (DL) approach to address this challenge, utilizing Feed-Forward Neural Networks (FFNN) to estimate SOC in real-world EV scenar...

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Bibliographic Details
Main Authors:	Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Saifudin, Razali, Mohd Razali, Daud
Format:	Article
Language:	English
Published:	Elsevier B.V. 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/42347/ http://umpir.ump.edu.my/id/eprint/42347/1/Advancing%20battery%20state%20of%20charge%20estimation%20in%20electric%20vehicles.pdf

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