Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2024, Vol. 15 ›› Issue (2): 208-217.DOI: 10.3969/j.issn.1674-8484.2024.02.009

• Automotive Energy Efficiency and Environment Protection • Previous Articles     Next Articles

Multi-objective and topological optimization of hydro-wheel fins coupled vapor chambers

LI Longhui1(), ZHANG Furen1,*(), HUANG Zhikai1, LI Xue1, ZHAO Haodong1, SHI Yazhou1, SUN Shizheng1, ZHAO Haibo2   

  1. School of Mechatronics & Vehicle engineering, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2023-06-06 Revised:2023-12-29 Online:2024-04-30 Published:2024-04-27

Abstract:

A special-shaped thermal management system of hydrothermal chamber batteries coupled with spoiler fin groups was proposed for electric vehicles (EV) to solve the problems of the high-power consumption and the low heat dissipation efficiency of traditional channel-type liquid cold plates. A multi-objective optimization method was used to analyze the fin length, the fin inclination, the distance between the center and the exit edge, and the distance between the two outlets after a basic model was determined by discussing the combination mode, arrangement position, and number of water wheel sets. the average temperature decreases 1.83 ℃ with a standard deviation of 0.45 compared with the initial model. The comprehensive evaluation index, thermal performance factor (TPF), increases 77.8%. The results show that the fin length, the angle, the outlet arrangement, and its accessory turbulence have significant effects on the liquid cooling-plate performances. The liquid cooling-plate average-temperature further decreases 2.64 ℃ with a temperature standard-deviation decreasing 0.206, and a TPF increasing18.9% compared with the cooling-plate without the temperature homogenization plate when the fluid-passage volume-fraction is 0.8.

Key words: electric vehicles (EV), lithium battery, battery thermal management, structure design, multi-objective optimization, topology optimization

CLC Number: