A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries

Remaining useful life (RUL) serves as a pivotal metric for quantifying lithium-ion batteries’ state of health (SOH) in electric vehicles and plays a crucial role in ensuring their safety and reliability. In order to achieve accurate and reliable RUL prediction, a novel RUL prediction method which em...

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Автори:	Yuyang Zhou, Zijian Shao, Huanhuan Li, Jing Chen, Haohan Sun, Yaping Wang, Nan Wang, Lei Pei, Zhen Wang, Houzhong Zhang, Chaochun Yuan
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2025-07-01
Серія:	Energies
Предмети:	lithium-ion batteries remaining useful life back propagation neural network Harris hawks optimization algorithm
Онлайн доступ:	https://www.mdpi.com/1996-1073/18/14/3842
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