• DocumentCode
    3268407
  • Title

    An intelligent alternator control approach for fuel consumption reduction

  • Author

    Sayahan, Amir ; Asaei, Behzad

  • Author_Institution
    Sch. of ECE, Univ. of Tehran, Tehran, Iran
  • fYear
    2013
  • fDate
    1-3 Nov. 2013
  • Firstpage
    296
  • Lastpage
    300
  • Abstract
    In recent years, it is necessary to improve the energy efficiency and reduce emissions. Hence, energy saving and fuel consumption improvement in conventional vehicles are desired. Intelligent control of alternator grants an opportunity for the mentioned goals. In this paper, electrical system of a conventional vehicle is modeled to understand its behavior more thoroughly. The modeled components are fuel convertor, drive train, battery, alternator, and resistive loads. Then, an intelligent alternator control is proposed for the power system of the vehicle which manages the energy flow through the vehicle power system considering the engine fuel and the alternator efficiency maps. The fuel consumption and exhaust gas pollution have been reduced while maintaining reliability has been investigated and demonstrated through a standard driving cycle in the MATLAB / Simulink environment.
  • Keywords
    alternators; automotive electrics; battery powered vehicles; intelligent control; internal combustion engines; maintenance engineering; power transmission (mechanical); secondary cells; MATLAB-Simulink environment; alternator efficiency maps; battery; drive train; electrical system; emission reduction; energy efficiency improvement; energy saving improvement; engine fuel; exhaust gas pollution; fuel consumption improvement; fuel consumption reduction; fuel convertor; intelligent alternator control approach; reliability maintenance; resistive loads; standard driving cycle; vehicle power system; Alternators; Batteries; Engines; Fuels; Mathematical model; System-on-chip; Vehicles; Alternator; Emmission; Fuel consumption; Fuel map; Intelligent control; Lead-acid battery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4799-2802-6
  • Type

    conf

  • DOI
    10.1109/EEEIC-2.2013.6737925
  • Filename
    6737925