Effect analysis on performance enhancement of a novel air cooling battery thermal management system with spoilers

Abstract

• The air cooling BTMS with spoilers enhances the heat dissipation performance. • The GP models of optimization objectives are established. • The maximum temperature and volume of BTMS have been optimized with MOGA. • The optimization framework can be extended to the design of industrial BTMSs. To solve a series of thermal runaway problems caused by temperature and the cost problem caused by the excessive volume of the battery thermal management system (BTMS), this paper presents a novel air cooling BTMS which reduces the temperature and volume. In this study, we install the spoilers in the battery gap spacing, which can effectively improve the heat dissipation performance of the battery. Firstly, this paper discusses the influence of the shape, number and length of the spoilers on the maximum temperature (Max T ) and temperature uniformity of the battery module. After computational fluid dynamics (CFD) simulation, this paper takes a BTMS with 16 long straight spoilers as plan 1. Compared with the initial plan without spoilers, the Max T of plan 1 is reduced by 3.52 K. Secondly, Latin hypercube sampling (LHS) is used to sample and then establish the genetic programming (GP) model for the Max T and the volume of plan 1. Finally, this paper combines CFD simulation with the multi-objective genetic algorithm (MOGA) to drive the optimization process. The optimization results show that the Max T of the battery module is 307.58 K, and the volume of BTMS is 12644460 mm 3 . Compared with plan 1, the Max T is reduced by 2.24 K, and the volume is reduced by 4.87%. This result has guiding significance for improving the heat dissipation of Z-shaped air cooling BTMS and saving the cost in the industry.