• DocumentCode
    2600363
  • Title

    Predictive eco-cruise control: Algorithm and potential benefits

  • Author

    Park, Sangjun ; Rakha, Hesham ; Ahn, Kyoungho ; Moran, Kevin

  • Author_Institution
    Center for Transp. Mobility, Virginia Tech Transp. Inst., Blacksburg, VA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    394
  • Lastpage
    399
  • Abstract
    A vehicle predictive eco-cruise control system is developed that minimizes vehicle fuel consumption levels utilizing roadway topographic information. The predictive eco-cruise control system consists of three components: a fuel consumption model, a powertrain model, and an optimization algorithm. The developed system generates an optimal vehicle control plan using anticipated roadway grade information so that the vehicle can vary its speed within a preset speed window in a fuel-saving manner. The developed system is tested by simulating a vehicle trip on synthetic roadway profiles and compared to a conventional cruise control system performance. Finally, the potential benefits of the predictive eco-cruise control system are quantified for the entire United States.
  • Keywords
    optimisation; power transmission (mechanical); predictive control; road vehicles; optimization algorithm; powertrain model; predictive eco-cruise control; roadway topographic information; vehicle fuel consumption; Control systems; Fuels; Gears; Optimization; Predictive models; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated and Sustainable Transportation System (FISTS), 2011 IEEE Forum on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-1-4577-0990-6
  • Electronic_ISBN
    978-1-4577-0991-3
  • Type

    conf

  • DOI
    10.1109/FISTS.2011.5973639
  • Filename
    5973639