Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (7): 2155-2165.doi: 10.19799/j.cnki.2095-4239.2023.0152

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Experimental and simulation research on liquid-cooling system of lithium-ion battery packs

Shuqin LIU1(), Xiaoyan WANG2(), Zhendong ZHANG2, Zhenxia DUAN2   

  1. 1.Yancheng Technician College Jiangsu Province, Yancheng 224000, Jiangsu, China
    2.Univeresity of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2023-03-09 Revised:2023-04-07 Online:2023-07-05 Published:2023-07-25
  • Contact: Xiaoyan WANG E-mail:434759407@qq.com;xiaoyan_wang@usst.edu.cn

Abstract:

This study aims to design a new liquid-cooling heat management system for lithium-ion battery packs. We have established a special experimental platform and a liquid-cooling system model coupled with an EV dynamic model to determine the optimal matching parameters for the components and the operational control strategies of the system. The results indicate that the deviation between experiment and simulation is within 3.0% under normal conditions. A higher flow rate and lower inlet temperature results in a lower battery temperature, while delaying the cooling intervention can reduce power consumption by around 20%. To further reduce the power consumption to 2750 W and maintain a battery temperature of 30.83 ℃ during normal 1.0 C discharge, we conducted a multiobjective optimization using the response surface method combined with genetic algorithm Ⅱ. Additionally, this optimization demonstrates a well-balanced solution between battery temperature and power consumption during the drive cycle. By combining the results of the experiment and simulation, this work provides valuable insights for designing an excellent liquid-cooling system for lithium-ion battery packs in electric vehicles.

Key words: lithium-ion battery, liquid-cooling system, coupled with EV dynamic model, one-dimensional numerical analysis, multi-objective optimization

CLC Number: