• DocumentCode
    642967
  • Title

    Optimal motion control for energy-aware electric vehicles

  • Author

    Tao Wang ; Cassandras, Christos

  • fYear
    2013
  • fDate
    28-30 Aug. 2013
  • Firstpage
    388
  • Lastpage
    393
  • Abstract
    We study two problems of optimally controlling how to accelerate and decelerate a non-ideal energy-aware electric vehicle so as to (a) maximize its cruising range and (b) minimize the traveling time to a specified destination under a limited battery constraint. Modeling an electric vehicle as a dynamic system, we adopt an Electric Vehicle Power Consumption Model (EVPCM) and formulate two respective optimal motion control problems. Although the full solutions can only be obtained numerically, we propose approximate controller structures such that the original optimal control problems are transformed into nonlinear parametric optimization problems, which are much easier to solve. Numerical examples illustrate the solution structures and support their accuracy.
  • Keywords
    acceleration control; approximation theory; battery powered vehicles; hybrid electric vehicles; motion control; nonlinear programming; optimal control; vehicle dynamics; EVPCM; acceleration control; cruising range maximization; deceleration control; electric vehicle power consumption model; limited battery constraint; nonideal energy-aware electric vehicle; nonlinear parametric optimization problems; optimal motion control problems; plug-in hybrid electric vehicles; traveling time minimization; Acceleration; Batteries; DC motors; Optimal control; Optimization; Power demand; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2013 IEEE International Conference on
  • Conference_Location
    Hyderabad
  • ISSN
    1085-1992
  • Type

    conf

  • DOI
    10.1109/CCA.2013.6662780
  • Filename
    6662780