• DocumentCode
    2345286
  • Title

    Intelligent controller for electric vehicle

  • Author

    Shivkumar, Poorani

  • Author_Institution
    Sona Coll. of Technol., Salem
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    978
  • Lastpage
    983
  • Abstract
    This paper presents a novel approach with a rule based acceleration control strategy for electric vehicles. This proposal has a straight forward goal for minimizing the complexities of the existing controllers used in the vehicles. The use of fuzzy logic enables the heuristic rule based technique to be used as an efficient solution. The fuzzy logic controller designed here is a combination of fuzzy decision maker and fuzzy speed controller for the separately excited DC motor. The fuzzy decision maker is designed in such a way that it takes into account the batterypsilas state of charge, speed of the vehicle, type of terrain, road load, brake, acceleration, ultra capacitor state of charge, and operational gear as input parameters which gives the reference speed to the fuzzy speed controller according to the scenarios in Indian road conditions. simulation results would specify the performance of the new proposed fuzzy controller. This controller has also been implemented in the embedded chip, field programmable gate Array (FPGA).
  • Keywords
    acceleration control; control system synthesis; electric vehicles; fuzzy control; intelligent control; velocity control; controller design; electric vehicle; embedded chip; field programmable gate array; fuzzy logic control; fuzzy speed controller; heuristic rule based technique; intelligent controller; rule based acceleration control strategy; Acceleration; Battery powered vehicles; DC motors; Electric vehicles; Field programmable gate arrays; Fuzzy control; Fuzzy logic; Intelligent vehicles; Proposals; Roads; Driver speed command; Driving conditions; Electric Vehicle; Fuzzy logic controller; Gear; State of charge; Terrain; Ultra capacitor state of charge; driver brake command; load;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1887-9
  • Electronic_ISBN
    978-1-4244-1888-6
  • Type

    conf

  • DOI
    10.1109/ICSET.2008.4747149
  • Filename
    4747149