Experimental and simulation study of a multichannel immersion cooling system for hot spot mitigation in energy storage batteries
Kaiwei Zhong, Junxin Zheng, Tingting Wu, Changhong Wang
Guangdong University of Technology South China University of Technology
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
The immersion battery thermal management (BTMS) system exhibits significant application potential in high-capacity energy storage systems. However, the inlet and outlet temperature effects of the coolant and the heat generation characteristics of lithium-ion batteries (LIBs) introduce spatial temperature differences and hot spots within the energy storage system. To address these issues, this study proposes and optimizes a multichannel immersion cooling system for hot spot mitigation (MICS) BTMS. The heat dissipation performance of MICS BTMS under different operating conditions was experimentally investigated. The influence of flow rate, module spacing, guide hole diameter, and guide hole position on heat transfer performance was studied through numerical simulations, and the interactions among the parameters were analyzed. The results show that in the heat transfer prioritized scheme, the maximum temperature of the battery module is 32.30 °C, 12% lower than that of the initial model and 23% lower than that of the static experimental system. The temperature difference prioritized scheme validates that increasing the flow rate does not lead to an increase in temperature difference. The balanced scheme achieves a low pressure drop of 135.37 Pa while maintaining a maximum temperature of 34.18 °C. In the optimized structure, the velocities in each guide hole and branch are significantly increased, with flow velocity variations between channels remaining within 6%. The optimized structure enhances the hot spot mitigation, reducing the average temperature difference between the tabs and the battery body to 0.63 °C. These results confirm the advantages of the MICS BTMS in addressing the issue of spatial temperature differences in immersion cooling.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
工程Advanced Battery Technologies Research
Heat Transfer and Boiling Studies · Heat Transfer and Optimization
参考文献 44
此处列出前 3 条