• DocumentCode
    3364606
  • Title

    Investigation to Simulation of Control Strategy for Series-Parallel Hybrid Electric Vehicle

  • Author

    Li, Yunpeng ; Yi, Peng ; Wang, Meng

  • Author_Institution
    Clean Energy Automotive Eng. Center, Tongji Univ., Shanghai, China
  • Volume
    2
  • fYear
    2012
  • fDate
    26-27 Aug. 2012
  • Firstpage
    204
  • Lastpage
    207
  • Abstract
    In the environment of ADVISOR developed from the Matlab/Simulink, a fuzzy control strategy is proposed for series - parallel hybrid electric vehicle (PSHEV) using fuzzy logic and the curve of maximum engine power. The fuzzy control strategy not only absorbs some benefits of the logic threshold control strategy, but also uses fuzzy logic to build torque distribution controller to distribute the torque of the hybrid system. In the progress of designing and researching fuzzy logic control strategy, the structural characteristics of the hybrid driving system and control objectives are analyzed in detail. Then use fuzzy logic technology to complete the design and development of control strategies. Finally, take the fuzzy strategy into the simulation of a variety of road conditions. Through the analysis and comparison, the simulation results show that the fuel economy of the fuzzy control strategy has been greatly improved by 6% compared to conventional logic threshold control strategy.
  • Keywords
    control system synthesis; fuel economy; fuzzy control; hybrid electric vehicles; road vehicles; torque control; ADVISOR; Matlab/Simulink; PSHEV; fuel economy; fuzzy control strategy simulation; fuzzy logic control strategy design; hybrid driving system; logic threshold control strategy; road conditions; series-parallel hybrid electric vehicle control strategy; torque distribution controller; Engines; Fuels; Fuzzy control; Fuzzy logic; System-on-a-chip; Torque; Vehicles; ADVISOR; Fuzzy Control Strategy; PSHEV; Torque Distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
  • Conference_Location
    Nanchang, Jiangxi
  • Print_ISBN
    978-1-4673-1902-7
  • Type

    conf

  • DOI
    10.1109/IHMSC.2012.145
  • Filename
    6305759