Journal of Drive and Control (드라이브 ㆍ 컨트롤)

The Korean Society for Fluid Power and Construction Equipment (유공압건설기계학회)
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Development of Power Distribution Control Strategy for Plug-in Hybrid Electric Vehicle using Neural Network

인공신경망을 이용한 플러그인 하이브리드 차량의 동력분배제어전략 개발

  • 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)
  • Received : 2015.07.09
  • Accepted : 2015.08.25
  • Published : 2015.09.01
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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.

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References

  1. IHS Inc., "EV Charging Infrastructure report," IHS Automotive report, 2015
  2. A. Sciarretta and L. Guzzella, "Control of Hybrid Electric Vehicles," IEEE Control Systems, Vol.27, No.2, pp. 60-70, 2007. https://doi.org/10.1109/MCS.2007.338280
  3. S. G. Wirasingha, and A. Emadi, "Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles," IEEE Transactions on Vehicular Technology, Vol.60, No.1, pp.111-122, 2011. https://doi.org/10.1109/TVT.2010.2090178
  4. L. Serrao, S. Onori, and G. Rizzoni, "A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles," Journal of Dynamic Systems Measurement and Control, Vol.133, No.3, 031012, 2011. https://doi.org/10.1115/1.4003267
  5. C. Musardo, G. Rizzoni, and B. Staccia, "A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management," The 44th IEEE Conference on Decision and Control, and the European Control Conference, pp.1816-1823, 2005.
  6. T. Nuesch, A. Cerofolini, G. Mancini, N. Cavina, C. Onder, and L. Guzzella, "Equivalent Consumption Minimization Strategy for the control of Real Driving NOx Emissions of a Diesel Hybrid electric Vehicle," Energies, Vol.7, No.5, pp.3148-3178, 2014. https://doi.org/10.3390/en7053148
  7. P. B. Sharer, A. Rousseau, D. Karbowski, S. Paagerit, "Plug-in Hybrid Electric Vehicle Control Strategy: Comparison between EV and Charge-Depleting Options," SAE Technical Paper, 2008.
  8. H. Alipour, B. Asaei, and G. Farivar, "Fuzzy Logic Based Power Management Strategy for Plug-in Hybrid Electric Vehicles with Parallel Configuration," International Conference on Revewable Energies and Power Quality (ICREPQ' 12), 2012.
  9. J. Deur, J. Petric, J. Asgari, and D. Hrovat, "Modeling of Wet Clutch Engagement Including a Thorough Experimental Validation," SAE Technical Paper, 2005.
  10. A. Khajepour, M.S. Fallah, and A. Goodarzi, "Electric and hybrid Vehicles: Technologies, Modeling and Control - A Mechatronic Approach," Wiley, pp. 214-219, 2014.
  11. SAE International, "SAE J1711 - Recommended Practice for Measuring the Exhaust Emissions and Fuel Economy of Hybrid-Electric Vehicles, Including Plug-in Hybrid Vehicles," SAE International Surface Vehicle Recommended Practice, 2010.
  12. K. H. Sim, H. U. Jeong, D. R. Kim, T. K. Lee, K. S. Han, and S. H. Hwang, "Control Strategy with the Slope of SOC Trajectory for Plug-in Diesel Hybrid Electric Vehicle with Dual Clutch Transmission," The 25th International Electric Vehicle Symposium and Exhibition (EVS28), 2015.
  13. C.H. Chen, "Fuzzy Logic and Neural Network Handbook," McGraw-Hill, 1996.
  14. N. Murata, S. Yoshizawa, and S. Amari, "Network Information Criterion-Determining the Number of Hidden Units for an Artificial Neural Network Model," IEEE Transactions on Neural Networks, Vol.5, No.6, pp.865-872, 1994. https://doi.org/10.1109/72.329683