최적운전계획법에 의한 전기차의 고전압 배터리셀 온도 관리

다국어 초록 (Multilingual Abstract)

This paper proposes a model-based thermal load predictive optimal control that can be more efficiently managed in the future of mobility. Due to environmental concerns, heat management has become an integral part of battery performance and durability in regard to the fast-growing electric vehicles. A thermal management simulator of the battery system has been constructed in Simulink and verified against vehicle test data to be used as a virtual plant for the development of optimal scheduling of battery cooling devices. An optimal operation scheduling based on linear programming and model has been developed and compared with the existing rule-based control. Based on the comparison, it is concluded that the optimal scheduler saves more energy and improves battery durability with significant margins in two extreme test cases.

참고문헌 (Reference)

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