State of Health Estimation for Lithium-Ion Batteries Using Enhanced Whale Optimization Algorithm for Feature Selection and Support Vector Regression Model

Evaluating the state of health (SOH) of lithium-ion batteries (LIBs) is essential for their safe deployment and the advancement of electric vehicles (EVs). Existing machine learning methods face challenges in the automation and effectiveness of feature extraction, necessitating improved computationa...

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Vydané v:	Processes Ročník 13; číslo 1; s. 158
Hlavní autori:	Wang, Rui, Xu, Xikang, Zhou, Qi, Zhang, Jingtao, Wang, Jing, Ye, Jilei, Wu, Yuping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.01.2025
Predmet:	Accuracy Aging Algorithms Automation Batteries Cetacea Datasets Electric vehicles Feature extraction Feature selection Gaussian process Health Lithium Lithium-ion batteries Machine learning Mathematical optimization Methods Neural networks Noise threshold Optimization Optimization algorithms Parameter identification Random noise Regression models Root-mean-square errors Support vector machines Technology application Temperature
ISSN:	2227-9717, 2227-9717
On-line prístup:	Získať plný text
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