• DocumentCode
    3505246
  • Title

    A new eco-driving assistance system for a light vehicle: Energy management and speed optimization

  • Author

    Qi Cheng ; Nouveliere, Lydie ; Orfila, O.

  • Author_Institution
    Lab. LIVIC, IFSTTAR, Versailles, France
  • fYear
    2013
  • fDate
    23-26 June 2013
  • Firstpage
    1434
  • Lastpage
    1439
  • Abstract
    This paper presents a new method to model and optimize the vehicle fuel consumption and its speed in the design of an eco-driving assistance system (EDAS) developed within the EU ecoDriver project. The main objective of this EDAS is to combine a precise fuel consumption model with a robust optimization module. An optimal speed profile is obtained to reduce the energy consumption. The gear management is also included in this procedure. The instantaneous fuel consumption rate is expressed as a piecewise polynomial of the instantaneous engine speed and engine torque. A dynamic programming technique is used to optimize the vehicle fuel consumption considering the safety requirements. The real vehicle experiments show the good performance of the piecewise model. The algorithm is implementable in a light vehicle Renault Clio 3.
  • Keywords
    dynamic programming; energy consumption; fuel economy; gears; internal combustion engines; piecewise polynomial techniques; road safety; road vehicles; traffic engineering computing; EDAS design; EU ecoDriver project; Renault Clio 3; dynamic programming; eco-driving assistance system; energy consumption reduction; energy management; fuel consumption model; gear management; instantaneous engine speed; instantaneous engine torque; instantaneous fuel consumption rate; light vehicle; optimal speed profile; piecewise polynomial technique; robust optimization module; safety requirements; speed optimization; vehicle fuel consumption optimization; Computational modeling; Engines; Fuels; Gears; Mathematical model; Torque; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2013 IEEE
  • Conference_Location
    Gold Coast, QLD
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2754-1
  • Type

    conf

  • DOI
    10.1109/IVS.2013.6629668
  • Filename
    6629668