Prediction of Battery Temperature Variations in Air Cooling System

Abstract

To design EV/PHEV battery air cooling system efficiently, a CFD approach to predict battery temperature variations is developed. In this approach, computation time can be greatly shortened by using steady analysis to calculate the fluid field. And the calculation accuracy is also secured by considering the effects of the temperature variations and distribution of cooling air and batteries in detail. Finally, the accuracy and practicality of this method are also confirmed by comparing results of strong coupling analysis and the battery bench test.