• DocumentCode
    572478
  • Title

    Research on energy management and optimization for PHEV

  • Author

    Zhumu Fu ; Junya Xiao ; Aiyun Gao

  • Author_Institution
    Electron. & Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    578
  • Lastpage
    582
  • Abstract
    In order to reduce the fuel consumption and emissions of automobiles, the powertrain structure of Parallel Hybrid Electric Vehicle (PHEV) and the models of main components were firstly established. Then, on the basis of the models, the fuzzy control energy management system (EMS) was designed for PHEV. The fuzzy control energy management strategy was embedded in soft of Advisor for simulation. Finally, the parameters of the powertrain were optimized. Simulation results show that the fuzzy control strategies with parameters optimization not only have improved the fuel economy, but also reduced the emissions of HC, CO and so on, compared with the before parameters optimization.
  • Keywords
    carbon compounds; energy management systems; fuel economy; fuzzy control; hybrid electric vehicles; hydrogen compounds; optimisation; power transmission (mechanical); Advisor simulation; CO; HC; PHEV; emission reduction; energy management; fuel consumption reduction; fuel economy; fuzzy control; parallel hybrid electric vehicle; parameters optimization; powertrain; Batteries; Energy management; Engines; Optimization; System-on-a-chip; Torque; Vehicles; EMS; Fuzzy Control; Optimization; PHEV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2012 IEEE International Conference on
  • Conference_Location
    Zhengzhou
  • ISSN
    2161-8151
  • Print_ISBN
    978-1-4673-0362-0
  • Electronic_ISBN
    2161-8151
  • Type

    conf

  • DOI
    10.1109/ICAL.2012.6308144
  • Filename
    6308144