Remaining useful life prediction of lithium-ion batteries based on the Support Vector Regression Optimized and Enhanced Whale Optimization Algorithm

Accurate and reliable predictions of the remaining useful life (RUL) of lithium-ion batteries are crucial for ensuring the proper functioning and longevity of lithium-ion battery systems. Predicting the RUL in its early stages can be challenging and difficult for conventional RUL prediction techniqu...

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Veröffentlicht in:	Journal of physics. Conference series Jg. 2591; H. 1; S. 12038 - 12051
Hauptverfasser:	Wu, Wei, Chen, Zhen, Li, Linman, Pan, Ershun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 01.09.2023
Schlagworte:	Algorithms Correlation analysis Life prediction Lithium Lithium-ion batteries Optimization Optimization algorithms Physics Rechargeable batteries Regression models Support vector machines Useful life
ISSN:	1742-6588, 1742-6596
Online-Zugang:	Volltext
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