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xEV 배터리의 열관리를 위한 온도 예측 모델 개발에 관한 연구
정대봉(Daebong Jung),손동기(Dongkee Sohn),전진용(Jinyong Jeon) 한국자동차공학회 2016 한국자동차공학회 부문종합 학술대회 Vol.2016 No.5
In recent, xEV has been emerged as alternative solution to resolve the environment problem since it can improve fuel economy and reduce exhaust gas emission. Especially, a lithium ion battery (LIB) which has higher power and energy density than other type battery is core part of xEV since it has significant effect on the performance of xEV. However, it should be noted that thermal management system is necessary to use LIB because it is very sensitive to temperature. In this study, the thermal network model which can estimate the battery temperature in the battery module or pack has been developed based on fundamental heat transfer mechanism. The target battery module consists of cells, coolant circuit, and fixing plates. Each part is modeled as thermal mass and connected to each other through conduction and convection models. To improve accuracy of the model, multi-mass model is applied to fixing plate and coolant circuit. The simulation results were validated with the experimental data and showed good agreement by ±1℃.