• DocumentCode
    3473633
  • Title

    Dynamic Human-Machine Interface for Electrical vehicle design guidelines

  • Author

    Rozhdestvenskiy, D. ; Bouchner, P. ; Mashko, A. ; Abishev, K. ; Mukanov, R.

  • Author_Institution
    Fac. of Transp. Sci., Czech Tech. Univ. in Prague, Prague, Czech Republic
  • fYear
    2015
  • fDate
    24-25 June 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This article deals with a Human Machine Interface of Electric vehicles starting from the history of Electric Vehicles HMI, describes currently used system elements and provide evaluation of their advantages and disadvantages. A new concept of Dynamic HMI for Electric Vehicles is introduced to improve EV efficiency in terms of energy consumption and range distance, and consequently increase their popularity among users. This interface is capable to adapt itself to user or system needs and changes dynamically based on EV battery State of Charge or reachability of desired destination. Such implementation of HMI address one of the main reason why users still prefer conventional vehicles with internal combustion engine to EV - range anxiety phenomena. This article aims to be a guideline for a design of new concept of HMI for EV, studies user requirements and propose a methodology of system development including concept definition and user acceptance validation methodology on vehicle driving simulator.
  • Keywords
    electric vehicles; energy consumption; man-machine systems; simulation; traffic engineering computing; user interfaces; dynamic HMI; electrical vehicle design; energy consumption; human-machine interface; vehicle driving simulator; Acceleration; Charging stations; Energy consumption; Ice; Navigation; Vehicle dynamics; Vehicles; Electric Vehicle; Extended navigation; GIS; HMI; Hybrid Car; IVIS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Cities Symposium Prague (SCSP), 2015
  • Conference_Location
    Prague
  • Type

    conf

  • DOI
    10.1109/SCSP.2015.7181573
  • Filename
    7181573