摘要
锂离子电容器具有寿命长、兼顾功率密度和能量密度等优点,充分了解其热特性对其广泛应用意义重大。在多种充放电倍率下进行了锂离子电容器的温升测试,并基于MATLAB和COMSOL Multiphysics 5.4软件进行了其热模型建立及研究。结果表明,随着充放电倍率的增大,锂离子电容器的发热量增加;基于MATLAB建立的集总参数热模型可以实现平均绝对误差不超过0.2℃的温升模拟;基于COMSOL构建的热模型中,随着放电倍率增加,温度分布差异增大,而将极耳布置方式改为对角布置可减小温度分布差异,使温度分布更加均匀,更有利于其性能发挥。
A lithium-ion capacitor(LIC)has the advantages of long cycle life,high power density,and high energy density.Comprehensive knowledge of LIC thermal characteristics is essential for its practical application.In this study,a temperature rise test of an LIC is performed under various charge and discharge rates,and its thermal model is established and studied based on MATLAB and COMSOL Multiphysics 5.4 software.The results demonstrate that the calorific value of LIC increases with the rise in charge and discharge rates.Based on the lumped parameter thermal model established in MATLAB,the mean absolute error in the temperature rise simulation can be limited to 0.2℃,and the temperature distribution variation increases with the rise in discharge rate.By installing the LIC lugs diagonally on the cell,the temperature difference is reduced,making the temperature more uniform,and the arrangement is advantageous in improving performance.
作者
闵凡奇
吕桃林
付诗意
张立恒
党国举
晏莉琴
解晶莹
高云智
MIN Fanqi;LV Taolin;FU Shiyi;ZHANG Liheng;DANG Guoju;YAN Liqin;XIE Jingying;GAO Yunzhi(School of Chemistry and Chemical Engineering,Harbin Institute of Technology,Harbin 150001,Heilongjiang,China;Shanghai Engineering Center for Power and Energy Storage Systems;State Key Laboratory of Space Power-Sources Technology,Shanghai Institute of Space Power-Sources,Shanghai 200245,China;Shanghai Power&Energy Storage Battery System Engineering Technology Co.,Ltd.,Shanghai 200241,China;School of Chemistry and Chemical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《储能科学与技术》
CAS
CSCD
北大核心
2022年第8期2629-2636,共8页
Energy Storage Science and Technology
基金
上海市青年科技启明星计划(21QB1401400)
上海市优秀技术带头人计划(20XD1430800)
上海市科委项目(18DZ2284000)。
关键词
锂离子电容器
温升
热特性
热模型
热仿真
lithium-ion capacitor
temperature rise
thermal characteristic
thermal model
thermal simulation