• DocumentCode
    2463778
  • Title

    A Torque Control Strategy with Charge Buffer for Parallel Hybrid Electric Vehicle

  • Author

    Huang, Xi ; Tan, Ying ; He, Xingui

  • Author_Institution
    Dept. of Machine Intell., Peking Univ., Beijing, China
  • fYear
    2010
  • fDate
    6-9 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    As a new kind of vehicles with low fuel cost and low emission, hybrid electric vehicle (HEV) has been given more and more attention in recent years. The key technique in the HEV is the optimal control strategy for the best performance. This paper proposed a new torque control strategy with charge buffer (TCSCB) to control the two power sources of the HEV. The TCSCB is based on the control of engine torque which make the control strategy easily distribute the output power to the engine and motor. In this control strategy, the real time optimization based on the engine efficiency map increases engine efficiency observably. The charge buffer reduces the dramatic fluctuation of the engine torque to improve the fuel economy. The prediction engine torque based on the neural network improves the control performance by the future information greatly. The simulation results showed the TCSCB could reach a higher fuel economy and lower emission compared to the current control strategies. In order to optimize the control performances, the parameters in the TCSCB were also discussed in details.
  • Keywords
    engines; hybrid electric vehicles; neural nets; optimal control; power control; torque control; charge buffer; engine efficiency map; engine torque; fuel economy; neural network; optimal control strategy; parallel hybrid electric vehicle; torque control; Artificial neural networks; Engines; Hybrid electric vehicles; Power capacitors; System-on-a-chip; Thyristors; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
  • Conference_Location
    Ottawa, ON
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-3573-9
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2010.5594436
  • Filename
    5594436