• DocumentCode
    3503639
  • Title

    Smart and Green ACC, adaptation of the ACC strategy for electric vehicle with regenerative capacity

  • Author

    Glaser, Sebastien ; Orfila, O. ; Nouveliere, Lydie ; Potarusov, Roman ; Akhegaonkar, Sagar ; Holzmann, Frederic ; Scheuch, Volker

  • Author_Institution
    LIVIC (Lab. on Interactions Vehicles-Infrastruct.-Drivers), Versailles, France
  • fYear
    2013
  • fDate
    23-26 June 2013
  • Firstpage
    970
  • Lastpage
    975
  • Abstract
    This paper presents an optimization of a conventional Adaptive Cruise Control system (ACC) for the specific use of electric vehicles with regenerative capacity, namely the Smart and Green ACC (SAGA). Longitudinal control strategies, that are developed for the driving assistances, mainly aim at optimizing the safety and the comfort of the vehicle occupants. Electric vehicles have the possibility, depending on the architecture, the speed and the braking demand, to regenerate a part of the electric energy during the braking. Moreover, the electric vehicle range is currently limited. The opportunity to adapt the braking of an ACC system to extend slightly the range must not be avoided. When the ACC is active, the vehicle speed is controlled automatically either to maintain a given clearance to a forward vehicle, or to maintain the driver desired speed, whichever is lower. We define how we can optimize both mode and what is the impact, in term of safety and strategy, including the knowledge of the future of the road, integrating a navigation system.
  • Keywords
    adaptive control; electric vehicles; environmental factors; human factors; optimisation; regenerative braking; road safety; velocity control; ACC strategy; ACC system optimization; SAGA; adaptive cruise control system optimization; automatic vehicle speed control; driving assistances; electric vehicle; longitudinal control strategies; navigation system; regenerative braking; regenerative capacity; smart and green ACC; vehicle occupant comfort optimization; vehicle occupant safety optimization; Acceleration; Electric vehicles; Law; Optimization; Roads;
  • 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.2013.6629592
  • Filename
    6629592