中国计量大学学报

目的:热物性参数和产热特性表征是热管理系统设计与优化的基础。本研究聚焦锂离子电容器充放电过程的热特性，通过测定比热容、导热系数等关键热物性参数，构建产热-传热耦合模型。方法:采用等温量热法测量锂离子电容器充放电产热量，绝热量热法测量比热容，三维数据反演法测量导热系数，结合实验数据验证模型在不同工况下的温升预测精度。结果:锂离子电容器充放电产热量随充放电倍率增大而增大，随温度升高呈先降后升趋势。当温度从5℃上升至60℃,比热容从931.7 J/(kg·℃)增大至1 180.4 J/(kg·℃)。导热系数随温度升高呈先升后降趋势。在不同恒定电流放电过程中，固定测温点的仿真结果与实测结果偏差在±0.3℃内。结论:基于实测热物性参数构建的产热-传热耦合模型能够比较准确地预测锂离子电容器在恒流放电时的温升，可用于热管理系统的设计和仿真优化。

Aims: The thermophysical parameters and the heat generation characteristics are fundamental for the development of the thermal management system. This study focuses on the thermal behavior of lithium-ion capacitors during charge-discharge processes and establishes a heat generation-transport coupling model by measuring key thermophysical parameters including the specific heat capacity and the thermal conductivity. Methods: The heat generation of lithium-ion capacitors during charging and discharging precesses was measured by isothermal calorimetry. The specific heat capacity was measured by adiabatic calorimetry. The thermal conductivity was measured by the three-dimensional data inversion method. The model's accuracy under various operating conditions was validated through comparative analysis with experimental heat generation data. Results: The heat generation during the charging and discharging of lithium-ion capacitors increased with current increase and decreased firstly then increased and then increasing with the increase of temperature. When the temperature rose from 5 ℃ to 60 ℃, the specific heat capacity of lithium-ion capacitors increased from 931.7 J/(kg·℃) to 1 180.4 J/(kg·℃). The thermal conductivity increased first and then decreased with the increase of temperature. When the lithium-ion capacitor discharged at different currents, the deviation between the simulation and the measured results at fixed monitoring points was within ±0.3 ℃. Conclusions: The heat generation of lithium-ion capacitors during charging and discharging varies with the current and temperature. The specific heat capacity and the thermal conductivity are influenced by temperature. The coupling model established using measured thermophysical parameters can accurately predict the temperature rise of lithium-ion capacitors during constant current discharging and can be used for design and simulation optimization of thermal management systems.