Charging strategies optimization for lithium-ion battery: Heterogeneous ensemble surrogate model-assisted advanced multi-objective optimization algorithm

•Electrothermal-aging model is established to generate the surrogate model datasets.•MetaHES adapts to the diverse, small-sample, non-temporal characteristics of LIBs.•CDMHUE balances feasibility, diversity, and convergence in SMCC optimization.•MetaHES efficiency exceeds mechanism-based CDMHUE by o...

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Vydané v:	Energy conversion and management Ročník 342; s. 120170
Hlavní autori:	Cheng, Fang, Liu, Hui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.10.2025
Predmet:	administrative management algorithms Charging strategy optimization data collection electric potential difference Electrothermal-aging model energy conversion hawks Heterogeneous ensemble surrogate model Improved multi-objective Harris Hawks optimization algorithm lithium batteries Lithium-ion batteries temperature Lithium-ion batteries Heterogeneous ensemble surrogate model Electrothermal-aging model Improved multi-objective Harris Hawks optimization algorithm Charging strategy optimization
ISSN:	0196-8904
On-line prístup:	Získať plný text
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