State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models

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State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models

Accurate estimation of the state of charge (SoC) of lithium-ion batteries (LIBs) in electric vehicles (EVs) is crucial for optimizing performance, ensuring safety, and extending battery life. However, traditional estimation methods often struggle with the nonlinear and dynamic behavior of battery sy...

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Bibliographic Details
Main Authors:	Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Isuwa, Jeremiah
Format:	Article
Language:	English
Published:	Elsevier B.V. 2025
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/44975/ http://umpir.ump.edu.my/id/eprint/44975/1/1-s2.0-S2772683525000068-main.pdf

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