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인공신경망을 이용한 플러그인 하이브리드 차량의 동력분배제어전략 개발
심규현(K. H. Sim),이수지(S. J. Lee),이지석(J. S. Lee),남궁철(C. Namkoong),한관수(K. S. Han),황성호(S. H. Hwang) 유공압건설기계학회 2015 드라이브·컨트롤 Vol.12 No.3
The plug-in hybrid electric vehicle has a high fuel economy and can be driven long distances. Its different modes include the electric vehicle, hybrid electric vehicle, and only engine operating mode. A power management strategy is important to determine which mode should be selected. The strategy makes the vehicle more efficient using appropriate power sources for driving. However, the strategy usually needs a driving speed profile which is future driving cycle. If the profile is known, the strategy easily determines which mode is driven efficiently. However, it is difficult to estimate the speed profile for a real system. To address this problem, this paper proposes a new power distribution strategy using a neural network. The average speed and driving range are used as input parameters to train the neural network system. The strategy determines a limit for the use of the battery and the desired power is distributed between the engine and the motor simultaneously. Its fuel economy can increase by improving the basic strategy.