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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
Engineering Analysis With Boundary Elements ( IF 4.2 ) Pub Date : 2022-06-08 , DOI: 10.1016/j.enganabound.2022.05.006
Jia Liu , Farzan Tavakoli , S. Mohammad Sajadi , Mustafa Z. Mahmoud , Behzad Heidarshenas , Hikmet Ş. Aybar

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.



中文翻译:

尽管有强制气流,椭圆形 PCM 隔室尺寸对三块锂离子电池组周围影响的数值评估和人工神经网络建模

在本文中,数值研究了在具有三个锂离子电池单元的电池组周围使用椭圆室的效果。圆柱形电池位于椭圆形腔室的中间,充满相变材料(PCM)的椭圆形腔室位于风道内。使用有限元方法进行数值求解,并使用网络训练和人工神经网络进行获得的值。该网络的可能误差小于3,表明该网络的准确性很高。另一种具有一个输入层、32 个隐藏层和一个输出层的人工网格是预测电池组中消耗的能量的最佳结构。这项研究的结果表明,在较小的 PCM 隔间中,电池周围所有 PCM 的冻结时间比在较大的 PCM 隔间中要短得多。左侧电池的温度低于中间电池,尤其是在超过 3000 秒的情况下,并且两者都低于电池组中的右侧电池。右侧电池的温度尤其受 PCM 隔室大小的影响。

更新日期:2022-06-09
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