A new structure optimization method for forced air-cooling system based on the simplified multi-physics model

被引:29
作者
Lyu, Chao [1 ,4 ]
Song, Yankong [2 ]
Wang, Lixin [2 ]
Ge, Yaming [3 ]
Xiong, Rui [4 ]
Lan, Tian [5 ]
机构
[1] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin 150001, Peoples R China
[2] Harbin Inst Technol Shenzhen, Sch Mech Engn & Automat, Shenzhen 518000, Peoples R China
[3] Harbin Inst Technol Shenzhen, Educ Ctr Experiments & Innovat, Shenzhen 518000, Peoples R China
[4] Beijing Inst Technol, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
[5] State Grid Heilongjiang Elect Power Co Ltd, Harbin 150001, Peoples R China
关键词
Simplified multi-physics model; Structure parameters optimization; Forced air-cooling system; Experimental verification; LITHIUM-ION BATTERY; CONDUCTION-RADIATION PROBLEM; LATTICE BOLTZMANN METHOD; THERMAL MANAGEMENT-SYSTEMS; PACK; FLOW; PERFORMANCE; ISSUES;
D O I
10.1016/j.applthermaleng.2021.117455
中图分类号
O414.1 [热力学];
学科分类号
摘要
Energy storage systems equipped with lithium-ion batteries are susceptible to fire and explosion hazards, especially when such batteries are used to power electric vehicles. One of the most important reasons for these undesirable consequences is the lack of an effective battery thermal management system. In this regard, an optimization method for the forced air-cooling system is introduced based on a simplified multi-physics simulation model. The simplified multi-physics model consists an electro-thermal coupling model and a flow resistance network model. The accuracy of the simplified multi-physics model is verified by comparison with experimental results. Subsequently, the deflector angle and cell space in the forced air-cooling system are optimized, respectively, based on the simplified multi-physics model, via an exhaustive search method and a genetic algorithm. Finally, the verification platform for the forced air-cooling system is built. After the optimization of deflector angle and cell space, the maximum temperature and temperature difference are limited to 38 degrees C and 2 degrees C, with a reduction of about 30% and 80%, with respect to the unoptimized version. The consistency between the simulated and measured maximum temperature further confirms the effectiveness of the structure optimization method. In that, the method proposed in this paper is of great significance to shorten the time of structural optimization for forced air-cooling systems.
引用
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页数:11
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