摘要
Designing a good energy storage system represents the most important chall</span><span style="font-family:Verdana;">enge for spreading over a large scale of electric mobility. Proper thermal</span> <span style="font-family:Verdana;">management is critical and guarantees optimum working temperature in a</span><span style="font-family:Verdana;"> battery pack. In the various battery thermal management technologies, air cooling is one of the most used solutions. The following work analyzes the cooling performance of the air-cooling thermal management system by choosing appropriate system parameters and analyzes using CFD simulations for accurate thermal modeling. These parameters include the influence of airflow rate </span><span style="font-family:Verdana;">and cell spacing on the configuration. The outcome of the simulations is</span><span style="font-family:Verdana;"> compared using parameters like maximum temperature, and temperature distribution in the battery module to obtain optimum results for further applications. Finally, the simulations of the optimal solution will be compared to experimental results for validation.
Designing a good energy storage system represents the most important chall</span><span style="font-family:Verdana;">enge for spreading over a large scale of electric mobility. Proper thermal</span> <span style="font-family:Verdana;">management is critical and guarantees optimum working temperature in a</span><span style="font-family:Verdana;"> battery pack. In the various battery thermal management technologies, air cooling is one of the most used solutions. The following work analyzes the cooling performance of the air-cooling thermal management system by choosing appropriate system parameters and analyzes using CFD simulations for accurate thermal modeling. These parameters include the influence of airflow rate </span><span style="font-family:Verdana;">and cell spacing on the configuration. The outcome of the simulations is</span><span style="font-family:Verdana;"> compared using parameters like maximum temperature, and temperature distribution in the battery module to obtain optimum results for further applications. Finally, the simulations of the optimal solution will be compared to experimental results for validation.
