Designing a good energy storage system represents the most important challenge for spreading over a large scale of electric mobility. Proper thermal management is critical and guarantees optimum working temperature in a 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 and cell spacing on the configuration. The outcome of the simulations is 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.
Analysis of air-cooling battery thermal management system for Formula Student car / Martellucci, Leone; Krishna, Kalyan. - In: JOURNAL OF TRANSPORTATION TECHNOLOGIES. - ISSN 2160-0473. - 11:3(2021), pp. 436-454. [10.4236/jtts.2021.113029]
Analysis of air-cooling battery thermal management system for Formula Student car
Leone Martellucci;
2021
Abstract
Designing a good energy storage system represents the most important challenge for spreading over a large scale of electric mobility. Proper thermal management is critical and guarantees optimum working temperature in a 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 and cell spacing on the configuration. The outcome of the simulations is 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.| File | Dimensione | Formato | |
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Martellucci_Analysis_2021.pdf
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