Modeling and optimization of micro heat pipe cooling battery thermal management system via deep learning and multi-objective genetic algorithms

•A comprehensive model based on battery aging effect is developed for MHP-BTMS.•A framework combing deep learning and multi-objective genetic algorithm.•BTMS shows poor cooling capacity due to SEI formation inside the aged battery.•Two optimization strategies are proposed for multi-objective optimiz...

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Veröffentlicht in:	International journal of heat and mass transfer Jg. 207; S. 124024
Hauptverfasser:	Guo, Zengjia, Wang, Yang, Zhao, Siyuan, Zhao, Tianshou, Ni, Meng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.06.2023
Schlagworte:	Battery aging Battery thermal management Deep learning Lithium-ion battery Multi-objective optimization Multiphysics modeling Battery aging Deep learning Lithium-ion battery Battery thermal management Multiphysics modeling Multi-objective optimization
ISSN:	0017-9310, 1879-2189
Online-Zugang:	Volltext
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