Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning

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Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning

The precise determination of battery state of charge (SoC) holds paramount significance and has garnered considerable attention across diverse sectors, including academia. Accurate knowledge of the SoC percentage offers numerous advantages, ranging from optimizing travel planning to enhancing the ef...

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Bibliographic Details
Main Authors:	Zuriani, Mustaffa, Mohd Herwan, Sulaiman
Format:	Article
Language:	English
Published:	Elsevier
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/41469/ http://umpir.ump.edu.my/id/eprint/41469/1/Enhancing%20battery%20state%20of%20charge%20estimation%20through%20hybrid%20integration.pdf

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