A dual-objective data-driven framework combining Bayesian optimization and improved differential evolution for rapid and accurate parameter identification of lithium-ion battery P2D models

Journal:
Energy
Published:
DOI:
10.1016/j.energy.2025.137974
Affiliations:
3
Authors:
7
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Institutions Authors Share
MOE Key Laboratory of Enhanced Heat Transfer and Energy Conservation, China
5.500000
 0.79
City University of Hong Kong (CityU), China
1.000000
 0.14
South China University of Technology (SCUT), China
0.500000
 0.07
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