Numerical Analysis of Battery Thermal Management System of Electric Vehicle

Lai Qit Inn, A. N. Oumer, Azizuddin Abd Aziz, Januar Parlaungan Siregar, Tezara Cionita
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Abstract

This study is modelling the direct liquid cooling system of battery used in Electric Vehicle. The purpose of the study is to investigate the performance of the Li-ion battery model under different input of parameters and to evaluate the optimum parameters for the battery thermal management system model to maintain at its peak performance. SolidWorks and ANSYS are used to model and simulate the battery whereas MINITAB software is selected for conducting the statistical analysis. Heat flux, mass flow rate at the inlet and the thickness of the battery model has been selected as input of the simulation. The obtained results show that the heat transfer coefficient is increasing with the higher heat flux and mass flowrate but decreasing with the thickness of the battery model. Pressure drop remains constant when heat flux varies but increasing with mass flow rate and inversely proportional with the thickness of battery. For statistical analysis, an optimum value for the parameters is proposed to maintain the battery to operate with a highest heat transfer coefficient but lowest in pressure difference. Overall, the study has been conducted successfully and fulfilled the objectives stated.
电动汽车电池热管理系统数值分析
本文对电动汽车用蓄电池直接液冷系统进行了建模研究。本研究的目的是研究不同参数输入下锂离子电池模型的性能,并评估电池热管理系统模型保持其峰值性能的最佳参数。采用SolidWorks和ANSYS对电池进行建模和仿真,选用MINITAB软件进行统计分析。选取热流密度、入口质量流率和电池模型厚度作为仿真输入。结果表明:换热系数随热流密度和质量流量的增大而增大,随电池模型厚度的增大而减小;当热流密度变化时,压降保持不变,但随着质量流量的增大而增大,与电池厚度成反比。通过统计分析,提出了各参数的最优值,以保持电池以最高的传热系数和最低的压差运行。总的来说,这项研究进行得很成功,达到了既定的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.20
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