Volume 46, Issue 10 pp. 14318-14333
RESEARCH ARTICLE

Multi-method collaborative optimization for parallel air cooling lithium-ion battery pack

Furen Zhang

Corresponding Author

Furen Zhang

School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing, China

Correspondence

Furen Zhang, School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China.

Email: [email protected]

Search for more papers by this author
Lin Zhang

Lin Zhang

School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing, China

Search for more papers by this author
Aizhen Lin

Aizhen Lin

School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing, China

Search for more papers by this author
Pengwei Wang

Pengwei Wang

Great Wall Motor Company Limited, Baoding, China

Search for more papers by this author
Peiwen Liu

Peiwen Liu

BYD Company Ltd, Shenzhen, China

Search for more papers by this author
First published: 29 May 2022
Citations: 8

Summary

In this paper, the cooling performance of the battery thermal management system (BTMS) was optimized based on the Z-type parallel air cooling model and the computational fluid dynamics (CFD) method. Firstly, the effects of the distributed and convergent plenum angle on the cooling performance of the battery pack were analyzed. An air cooling BTMS experimental system was designed to verify the reliability of the CFD method. The results indicated that the DP with an angle had a positive impact on the heat dissipation performance of the BTMS. Next, the DP was divided into eight parts according to the number of batteries, and the angle of each part of DP was optimized respectively. Compared with the original model, the maximum temperature (Tmax) and maximum temperature difference (ΔTmax) of the optimal model were decreased by 3.81 K (7.50%) and 5.64 K (90.97%), respectively. Furthermore, the influence of the length and height of the manifolds on the heat dissipation effect was studied. Then, the cooling performances of the battery pack were optimized by adjusting the widths of the cooling channels and adding a spoiler in the cooling channel. Compared with the initial model, Tmax and ΔTmax of the optimal condition were decreased by 5.37 K (10.57%) and 5.74 K (92.58%), respectively. And the pressure drop was increased by 16.12 Pa, but it was within an acceptable range. Finally, the effects of different wind speeds and discharge rates on the cooling effect were discussed. The proposed thermal management method in this paper would provide a reference for designing a battery air cooling system in the future.

Novelty Statement

  • The cooling performance of the battery thermal management system (BTMS) was optimized based on the Z-type parallel air cooling model and the computational fluid dynamics (CFD) method.
  • The optimization strategy of discussing DP angle in sections was proposed, which could accurately control the temperature of each battery.
  • An air-cooled BTMS experimental system was designed to verify the reliability of the CFD method.

CONFLICT OF INTEREST

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.