Model-based predictive control of dc-dc converter for EV applications

  • Authors

    • Chang Hyun Kim
    • Houng Kun Joung
    2018-04-03
    https://doi.org/10.14419/ijet.v7i2.12.11312
  • MPC, EV Charger, DC-DC Converter, Optimal Control, Off-Board EV Charger
  • Background/Objectives: The power performance of electric vehicle chargers depends on the control efficiency of the power converters with on-board and off-board types. In this paper, a new control method is proposed for power converter of fast electric vehicle chargers in order to improve the power efficiency.

    Methods/Statistical analysis: The proposed control method is the optimal control to minimize the performance objectives from the predicted output, based on the system model. The discretized model of DC-DC converter with sampling time is derived by using lifting operation for taking into account with the desired prediction time.

    Findings: The existing conventional controllers are obtained by off-line optimal solution and applied to the systems. Once the control gain is determined, the controller is able to reflect the system response at the real-time.

    Improvements/Applications: The proposed control method has advantages to deal with system performances at real-time and the control actuation is updated every sampling time via the derived mathematical model. It can be directly applicable to real electric vehicle charger systems in industry.

     

     

  • References

    1. [1] Caruso, M., et al. "Economic evaluation of PV system for EV charging stations: Comparison between matching maximum orientation and storage system employment." ICRERA, 2016 IEEE International Conference on.

      [2] Kisacikoglu, Mithat C., Burak Ozpineci, and Leon M. Tolbert. "EV/PHEV bidirectional charger assessment for V2G reactive power operation." IEEE Transactions on Power Electronics 28.12 (2013): 5717-5727.

      [3] Mouli, Gautham Ram Chandra, et al. "Integrated PV Charging of EV Fleet Based on Energy Prices, V2G and Offer of Reserves." IEEE Transactions on Smart Grid (2017).

      [4] Ul-Haq, A., Carlo C., and Essam A. "Modeling of a Photovoltaic-Powered Electric Vehicle Charging Station with Vehicle-to-Grid Implementation." Energies 10.4, 2017

      [5] Jiang, J., Yan B., and Le Y. W. "Topology of a bidirectional converter for energy interaction between electric vehicles and the grid." Energies 7.8, pp. 4858-4894, 2014

      [6] Hedlund, M. "Design and construction of a bidirectional DC-DC converter for an EV application." , 2010

      [7] -Sheng Lai, D.J. Nelson, “Energy Management Power Converter in Hybrid Electric and Fuel Cell Vehiclesâ€, Proceedings of the IEEE, Vol.95. NO.4, April 2007

      [8] Emadi A, Khakigh A, Rivetta C., Williamson G., “Constant Power Loads and Negative Impedance Instability in Automotive Systems: Definition, Modeling, Stability, and Control of Power Electronic Converters and Motor Drives†IEEE Transactions on Vehicular Technology, Vol. 55. No. 4, Jul/2006

      [9] Rivera, M., Rodriguez, J., & Vazquez, S. (2016). Predictive Control in Power Converters and Electrical Drives—Part I. IEEE Transactions on Industrial Electronics, 63(6), 3834-3836

      [10] Christen, D., S. Tschannen, and J. Biela. "Highly efficient and compact DC-DC converter for ultra-fast charging of electric vehicles." Power Electronics and Motion Control Conference (EPE/PEMC), 2012 15th International. IEEE, 2012.

      [11] Liu, Kou-Bin, et al. "Analysis and Controller Design of a Universal Bidirectional DC-DC Converter." Energies 9.7 (2016): 501.

      [12] Hedlund, M. : Design and construction of a bidirectional DC-DC converter for an EV application, UPTEC F10 013, 2010

      [13] Kim, C. H., Park, H. J., Lee J., Lee, H. W., Lee, K. D. : Multi-rate optimal controller design for electromagnetic suspension systems via linear matrix inequality optimization, Journal of Applied Physics, Vol. 117, No. 17 (2015) 17B506

      [14] Thakurdesai PA, Kole PL & Pareek RP (2004), Evaluation of the quality and contents of diabetes mellitus patient education on Internet. Patient Education and Counseling 53, 309–313.

  • Downloads

  • How to Cite

    Hyun Kim, C., & Kun Joung, H. (2018). Model-based predictive control of dc-dc converter for EV applications. International Journal of Engineering & Technology, 7(2.12), 308-311. https://doi.org/10.14419/ijet.v7i2.12.11312