Structure Optimization of Battery Thermal Management Systems Using Sensitivity Analysis and Stud Genetic Algorithms

Structure Optimization of Battery Thermal Management Systems Using Sensitivity Analysis and Stud Genetic Algorithms

Battery thermal management systems (BTMS) are hugely important in enhancing the lifecycle of batteries and promoting the development of electric vehicles. The cooling effect of BTMS can be improved by optimizing its structural parameters. In this paper, flow resistance and heat dissipation models we...

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Bibliographic Details
Main Authors: Jiahui Chen, Dongji Xuan, Biao Wang, Rui Jiang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
flow resistance model
heat dissipation model
sensitivity analysis
stud genetic algorithms
structural optimization
battery
Online Access:https://www.mdpi.com/2076-3417/11/16/7440

Internet

https://www.mdpi.com/2076-3417/11/16/7440

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