Numerical evaluation and artificial neural network modeling of the effect of oval PCM compartment dimensions around a triple lithium-ion battery pack despite forced airflow

Abstract

In this paper, the effect of using an elliptical chamber around a battery pack with three lithium-ion battery cells is studied numerically. The cylindrical batteries are located in the middle of the oval chamber, and the elliptical chamber, which is full of Phase-Change Materials (PCM), is inside an air duct. Numerical solution was performed using finite element method and the obtained values were performed using network training and artificial neural network. The possible error of this network is less than 3, which indicates the high accuracy of the network. Another artificial grid with one input layer, 32 hidden layers, and one output layer is the best structure to predict the amount of energy consumed in the battery pack. The results of this study showed that in a smaller PCM compartment, the freezing time of all PCMs around batteries is much shorter than in a larger PCM compartment. The temperature of the left battery is lower than the middle battery, especially at times longer than 3,000 s, and both are lower than the right battery in the battery pack. The temperature of the battery cell on the right, in particular, is influenced by the size of the PCM compartment.