此研究提供一個模型來模擬鋰離子電池的充電行為，以預測充電過程中所累積的能量（瓦特－小時）。它是以二次高斯函數和一個極限值來預測電池的能量。在以來自兩個不同製造商的電池組合成兩個三串二並的電池組，各在常溫及低溫的環境下模擬。所得到模型的表現與實際樣本的累積能量的比較，常溫下平均誤差各為0.29%及0.22%，最大誤差為0.67%。低溫下平均誤差各為0.47%及0.36%，最大誤差則為1.15%。由此可知，本模型可以有效描述並預測鋰離子電池的充電累積能量。而此模型比較適合模擬常溫下的電池行為，在低溫下會有比較大的誤差，但仍在可接受的範圍之內。另再以一個四串一並的電池在常溫下模擬，平均誤差為0.30%，最大誤差也在0.76%之內。未來將研究更多不同廠商、不同的組態、在不同的溫度下的充電行為，讓本模型更為周延。
This study provided a model to simulate the behavior of lithium-ion batteries and predicted the accumulated energy (watt - hours) at charging process. It is formed by a limit value and a quadratic Gaussian function. Two 3S2P battery packs, from two different manufacturers, operated at room temperature and low temperature are studied. The performance of this model is satisfactory. At room temperature, the average energy differences between our model and the actual data are 0.29% and 0.22%. The maximum difference of these two is 0.67%. At low temperature, the average energy differences between our model and the actual data are 0.47% and 0.36%. The maximum difference of the two is 1.15%. Thus, this model is believed to perform better at room temperature than at low temperature. Furthermore, a 4S1P battery pack is inspected at room temperature. The result is much alike that of 3S2P. The average energy differences between our model and the actual data are 0.30%, and the maximum difference is 0.76%. In the future, a more variety of charge data from different manufacturers, different configurations, and different operating temperatures will be examined to make our model more robust.
