• DocumentCode
    2450334
  • Title

    Experimental evaluation of a loss-minimization control of induction motors used in EV

  • Author

    Araújo, R. Esteves ; Ribeiro, G. ; De Castro, R. Pinto ; Oliveira, H. Santos

  • Author_Institution
    Fac. de Eng., Univ. do Porto, Porto
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    1194
  • Lastpage
    1199
  • Abstract
    Battery-powered electric vehicle appear to be one of the viable solutions for the growing concerns for environmental protection and the fast rate of depletion of world fuel oil supply. This type of vehicle can become a viable alternative to the internal combustion engine only if they are able to meet certain reliability, safety, performance, and cost criteria. In addition, this type of electrical vehicles have serious disadvantages because of the limitation on cruising range imposed by weight, capacity of the electric accumulators and long recharging time. Improvement of efficiency of induction motor traction drives is an important issue in pure electric vehicles to improve the running distance on one charge. In this paper, the authors evaluate a loss-minimization algorithm (LMA) by considering their influence on the performance of the vehicle. The evaluation of the proposed LMA is demonstrated experimentally under different operating conditions of the vehicle.
  • Keywords
    battery powered vehicles; induction motor drives; internal combustion engines; machine control; traction motor drives; battery-powered electric vehicle; experimental evaluation; induction motor traction drives; internal combustion engine; long recharging time; loss-minimization control; world fuel oil supply; Costs; Drives; Electric vehicles; Fuels; Induction motors; Internal combustion engines; Performance loss; Petroleum; Protection; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758124
  • Filename
    4758124