热电制冷结合相变材料的电池热管理系统仿真研究
Numerical Study on a Battery Thermal Management System Combined with Thermoelectric Cooler and Phase Change Material
曾占豪 1刘珣 1秦云山1
作者信息
- 1. 武汉理工大学现代汽车零部件技术湖北省重点实验室,武汉 430070
- 折叠
摘要
为了将电池温度控制在合适的范围内,提出了 一种结合相变材料(Phase Change Materials,PCM)和热电制冷(Thermoelectric Cooler,TEC)的新型电池热管理系统,研究了 PCM厚度、铝制框架厚度、TEC输入电流三变量对系统性能的影响.在4C大倍率充电工况下,PCM厚度越大电池最高温度越低,但随着PCM厚度的增加,散热性能提升的幅度逐渐降低,TEC的能效比(Coefficient of Performance,COP)也越来越低.增厚铝制框架可使电池最高温度和最大温差同时降低,降低幅度也会随着框架厚度的增加而减小,但框架厚度对COP影响并不明显.TEC输入电流越大,电池最高温度越低,但温度均匀性越差,COP也会越低.结果表明:PCM厚度为3 mm,框架厚度为4 mm最为合适,此时TEC输入电流为1A即可保证电池的散热.
Abstract
In order to maintain battery temperature within an appropriate range,this paper proposes a novel battery thermal management system that combines Phase Change Materials(PCM)with Thermoelectric Coolers(TEC).The study investigates the impact of three variables—PCM thickness,aluminum frame thickness,and TEC input current—on system performance.Under a high-rate charging condition of 4C,it is observed that increasing PCM thickness leads to a decrease in the maximum battery temperature.However,as PCM thickness increases,the marginal improvement in heat dissipation performance gradually diminishes,and the Coefficient of Performance(COP)of the TEC also decreases.In-creasing the thickness of the aluminum frame simultaneously reduces both the maximum battery temperature and the maximum temperature difference,but the reduction becomes less significant with further increases in frame thickness.No-tably,the frame thickness has a less pronounced effect on the COP.A higher TEC input current results in a lower maxi-mum battery temperature but poorer temperature uniformity and a lower COP.The results indicate that a PCM thickness of 3 mm and a frame thickness of 4 mm are optimal,and under these conditions,a TEC input current of 1 A is sufficient to ensure effective battery cooling.
关键词
锂离子电池/PCM/TEC/温度/温度均匀性/大电流快充Key words
lithium-ion batteries/PCM/TEC/temperature/temperature uniformity/high current fast charge引用本文复制引用
基金项目
湖北省支持企业科技创新发展专项(2021BA015)
湖北省科技重大专项(2021AAA006)
出版年
2024
NETL
NSTL
万方数据