• DocumentCode
    3267869
  • Title

    Control Solutions for Hybrid Solar Vehicle Fuel Consumption Minimization

  • Author

    Preitl, Zsuzsa ; Bauer, Peter ; Kulcsar, Balazs ; Rizzo, Gianfranco ; Bokor, Jozsef

  • Author_Institution
    Budapest Univ. of Technol. & Econ., Budapest
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    767
  • Lastpage
    772
  • Abstract
    Hybrid electric vehicles (HEVs) gain more and more attention, as they represent a more environmental friendly alternative to conventional vehicles. If combined with photovoltaic panels, they can lead to further reduction of emissions. The paper focuses on a solution for minimizing the fuel consumption in a series hybrid solar vehicle (HSV). After briefly introducing the model, first a global optimum in fuel consumption is presented using dynamic programming, as a reference value. As a real-time control strategy, model predictive control (MPC) is considered. A fuel consumption equivalent quantity is defined which is used for calculating the fuel needed to bring the battery state of charge to a starting value (set in this case for 0.7 in relative units). For different values of the MPC tuning parameters simulations are performed using the urban section of the New European Drive Cycle. Conclusions based on the simulations are presented.
  • Keywords
    dynamic programming; fuel economy; hybrid electric vehicles; photovoltaic cells; predictive control; MPC; New European Drive Cycle; dynamic programming; hybrid electric vehicles; hybrid solar vehicle fuel consumption minimization; model predictive control; photovoltaic panels; real-time control; Batteries; Brushless DC motors; Fuels; Hybrid electric vehicles; Mathematical model; Photovoltaic systems; Predictive control; Predictive models; Solar power generation; Solar powered vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2007 IEEE
  • Conference_Location
    Istanbul
  • ISSN
    1931-0587
  • Print_ISBN
    1-4244-1067-3
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2007.4290209
  • Filename
    4290209