Abstract
Urgent need for driving range of lightweight electric vehicles has given birth to module-free lithium-ion batteries with high efficiency and low costs. Conventional module-based design methodology is not suitable for module-free battery thermal management systems (MF-BTMS). In this study, zone-based modeling and optimization approach is proposed for MF-BTMSs, which consists of zone definition, zone connection and pack-level optimization. Using this approach, with temperature uniformity and energy efficiency taken into consideration, a novel air-cooling MF-BTMS with heat pipe group and phase change materials (HPG–PCM) is designed. It is applied to batteries with different scales to study the effects of in-ventilation fin spacings and air-velocity under ambient temperature. It is found that with zone-based model, the in-pack predicted temperature error does not exceed 3% on average. Comparing to the conventional one, this method improves in-pack temperature uniformity 50.79% on average, and the highest value is 93.28%. Meanwhile, the energy consumption for cooling systems can be saved by 61.71%, which will extend the cruise range. It is also proved that air-cooling HPG–PCM system can be effective for MF-BTMSs, as the heat dissipation performance is enhanced with the assistance of cooling fins, while in-pack temperature maldistribution is reduced by adjusting fin spacings.
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This work was supported by the National Natural Science Foundation of China (Grant Nos. 51621004, 51575171) and special funds for the construction of innovative provinces in Hunan Province (2019GK4006).
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The 90 CFD samplings and the MATLAB code for the iteration process are presented as Supplementary Material.
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Li, J., Lei, F., Zhu, W. et al. Large-scale zone-based approach to global modeling and optimization for a novel thermal management system of module-free lithium-ion battery. Struct Multidisc Optim 64, 3621–3636 (2021). https://doi.org/10.1007/s00158-021-03042-7
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DOI: https://doi.org/10.1007/s00158-021-03042-7