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...

Full description

Saved in:

Bibliographic Details
Published in:	Energy conversion and management Vol. 342; p. 120170
Main Authors:	Cheng, Fang, Liu, Hui
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.10.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!