4.7 Article

Cooling performance optimization of air cooling lithium-ion battery thermal management system based on multiple secondary outlets and baffle

期刊

JOURNAL OF ENERGY STORAGE
卷 52, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.est.2022.104678

关键词

Battery thermal management; Air cooling; CFD; Secondary outlet; Baffle

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This paper proposes a comprehensive optimization scheme to improve the cooling performance of battery thermal management systems (BTMS) by adding secondary outlets and baffles. The influences of the number and width of secondary outlets and baffles on cooling performance were investigated using computational fluid dynamics (CFD) and validated through experimental tests. The results demonstrate significant reductions in maximum temperature and maximum temperature difference after optimization, indicating the effectiveness of the proposed method in designing BTMS for electric vehicles.
Air cooling has attracted extensive attention in the field of battery thermal management (BTMS). A comprehensive optimization scheme adding secondary outlets and baffle was proposed in this paper to improve the cooling performance of the BTMS. Computational fluid dynamics (CFD) was conducted to investigate the influences of the number and width of secondary outlets and baffles on the cooling performance of the BTMS. The effectiveness of CFD method was verified by the air cooling heat dissipation experiment of battery pack. Firstly, the effects of the number and width of the secondary outlets were discussed and optimized. The results showed that, comparing with the initial Z-type BTMS, the maximum temperature (Tmax) and the maximum temperature difference (Delta Tmax) were reduced by 1.84 degrees C (4.20%) and 3.66 degrees C (75%) after optimization, respectively. Then, based on the above optimization model, a baffle had been added in the cooling channel to further better the air volume distribution and enhance the cooling performance. Compared with the initial Z-type BTMS, Tmax of the optimum model was reduced by 2.17 degrees C (4.95%) and Delta Tmax was reduced by 4.49 degrees C (91.89%). It can be seen that the optimization method proposed in this paper could be used to design the BTMS for electric vehicle.

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