배터리냉각시스템 냉각성능 예측을 위한 열전달 모델 개발

In recent years, high-voltage batteries of electric vehicles have been in the spotlight as high-efficiency cooling technology capable of coping with high cell heating as high output and large capacity are inevitable due to an increase in travel distance and shortening of rapid charge time. Battery cooling technology of next-generation electric vehicles is changing between indirect-refrigerant based cooling using water-glycol coolant as cooling fluid and direct-refrigerant cooling type. It is important to predict cooling performance and battery cell temperature distribution to develop new battery cooling system. In this paper, 1D analysis model based on thermal resistance network method was developed through EES(Engineering Equation Solver) and system cooling load, cell temperature distribution, and outlet condition of cooling fluid were confirmed. As a result, the error between test data and the analytical model was within 12% at maximum, and it was confirmed that direct-refrigerant cooling reaches target temperature compared to that of indirect cooling.