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http://dx.doi.org/10.7839/ksfc.2015.12.3.018

Development of Power Distribution Control Strategy for Plug-in Hybrid Electric Vehicle using Neural Network  

Sim, K.H. (Department of Mechanical Engineering, Sungkyunkwan University)
Lee, S.J. (Department of Mechanical Engineering, Sungkyunkwan University)
Lee, J.S. (R&D Center, SECO Seojin Automotive Co., Ltd.)
Namkoong, C. (R&D Center, SECO Seojin Automotive Co., Ltd.)
Han, K.S. (Research & Business, Sungkyunkwan University)
Hwang, S.H. (Department of Mechanical Engineering, Sungkyunkwan University)
Publication Information
Journal of Drive and Control / v.12, no.3, 2015 , pp. 18-24 More about this Journal
Abstract
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.
Keywords
Plug-in Hybrid Electric Vehicle; Power Distribution Strategy; Neural Network; Battery State of Charge;
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