In this study, a coupled battery model was developed by employing a novel entropic term estimation procedure to predict the thermal behavior of a Li-Ion battery for varying charge and discharge rates under different operating temperatures. In the experimental part, a battery testing system was first used to determine the fundamental thermal and electrical operational behavior of a Li-Ion battery at various galvanostatic charge and discharge rates. Besides, battery tests for two different driving cycle loads based on a prototype electrical vehicle model have been conducted to simulate dynamic conditions. The first set of experiments consists of three different galvanostatic charge and discharge rates (0.5C, 1.0C and 1.5C) for three different ambient temperatures and it is used to predict the reversible heat generation term in the model. It is shown that the difference between the model and experimental temperatures are less than 2°C for all galvanostatic charge and discharge rates at different ambient conditions. In the case of dynamic conditions, the maximum temperature difference between the measured and predicted values is found to be less than 2.5°C for the tested highway-FTP driving cycle and less than 1°C for the tested CITY-I USA driving cycle at two different ambient temperatures. In summary, the predictions of the developed model that includes a novel entropic term estimation procedure are found to be accurate enough to simulate the transient thermal characteristics of the battery cell under dynamic conditions.

在这项研究中，通过采用新颖的熵项估计程序来开发耦合电池模型，以预测锂离子电池在不同工作温度下变化的充放电速率下的热行为。在实验部分，首​​先使用电池测试系统来确定各种恒电流充电和放电速率下锂离子电池的基本热和电性能。此外，已经基于原型电动汽车模型对两个不同的驾驶循环负载进行了电池测试，以模拟动态条件。第一组实验由针对三种不同环境温度的三种不同的恒电流充放电速率（0.5C，1.0C和1.5C）组成，用于预测模型中的可逆热量产生项。结果表明，在不同的环境条件下，所有恒电流充放电速率的模型和实验温度之间的差异均小于2°C。在动态条件下，对于测试的Highway-FTP行驶周期，测得值与预测值之间的最大温差小于2.5°C，对于测试的CITY-I USA行驶周期，测得值与预测值之间的最大温度差小于1°C。两个不同的环境温度。总而言之，发现包括新颖的熵项估计程序在内的已开发模型的预测足够准确，可以模拟动态条件下电池单元的瞬态热特性。