Use of supervised learning algorithms to determine the state of charge (SoC) accurately in LiFePO4 batteries

This study aimed to discern the optimal machine learning algorithm for precise state-of-charge (SoC) prediction in lithium-ion batteries, specifically focusing on LiFePO4. The investigation involved training and evaluating a comprehensive dataset using diverse machine learning algorithms, including...

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Váldodahkkit:	Fathul Akhir Dimas Zuda, Akshya Muhammad Farrel, Harjunowibowo Dewanto, Pujayanto, Dyartanti Endah Retno, Gustiana Himmah Sekar Eka Ayu, Purwanto Agus, Abharan Aficena Himdani Ilman, Nizam Muhammad, Jamaluddin Anif
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	De Gruyter 2026-07-01
Ráidu:	Open Engineering
Fáttát:	lithium-ion batteries lifepo4 machine learning dt soc
Liŋkkat:	https://doi.org/10.1515/eng-2025-0167
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