An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition

Accurate prediction of the state of health (SOH) of lithium-ion batteries is important for real-time monitoring and safety control of lithium-ion batteries. In this paper, a hybrid kernel least square support vector regression (HKLSSVR) prediction model based on variational modal decomposition (VMD)...

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Vydané v:	Energy (Oxford) Ročník 306; s. 132464
Hlavní autori:	Zhu, Tao, Wang, Shunli, Fan, Yongcun, Hai, Nan, Huang, Qi, Fernandez, Carlos
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.10.2024
Predmet:	algorithms dung beetles energy Hybrid kernel least square support vector regression hybrids Improved dung beetle optimizer Lithium-ion battery prediction regression analysis State of health Lithium-ion battery Improved dung beetle optimizer State of health Hybrid kernel least square support vector regression
ISSN:	0360-5442
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