Experiments on the effects of immersion cooling on lithium-ion battery module and mitigating battery thermal runaway
Chongmao Mo, Anthony Chun Yin Yuen, Yongxi Wu, Bin Fei, Junling Wang
Hong Kong Polytechnic University Nanjing Tech University
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
Forced flow immersion cooling technology is considered to have great potential for application in battery thermal management systems due to its excellent heat transfer performance. However, the external liquid tank greatly reduces the energy density and the compactness of the system. Herein, a forced flow immersion cooling system without an external tank is designed to solve the complexity problem of an immersion battery thermal management system. AF-710 L coolant as the medium is selected for the experiment and six flow modes without an external liquid tank are designed to investigate its heat dissipation performance under a high discharge rate and compare it with natural air cooling and static flow immersion cooling. The results show that this forced flow immersion cooling system can control the battery temperature within 50 °C under 3C discharge. Of note, the maximum temperature in M3 mode is only 42.1 °C, and the temperature difference is controlled within 2.5 °C. In addition, the AF-710 L coolant shows good thermal barrier capability in nail-puncture tests, which can significantly reduce the temperature during thermal runaway and prevent re-ignition. The system does not require an external liquid tank, which reduces the system complexity and space requirements, improves the energy density of the battery module. Our finds can provide inspirations for development of highly-efficient thermal management systems for electric vehicles. • A tankless forced flow immersion cooling system was proposed. • Six flow modes of the same outlet but different inlets were studied. • Temperature can be controlled within 42.1 °C at 3C discharge rate. • AF-710 L coolant can control the temperature of thermal runaway within 270 °C under needle-puncture test.
逐年被引趋势
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
Advancements in Battery Materials · Heat Transfer and Optimization
参考文献 44
此处列出前 3 条
引用本文 5
按被引量排序,此处列出前 3 条