• DocumentCode
    173760
  • Title

    Electric vehicle number assessment for year 2020 in Croatia

  • Author

    Vrazic, Mario ; Vuljaj, Damir ; Pavasovic, Arsen ; Paukovic, Hrvoje

  • Author_Institution
    Dept. of Electr. Machines, Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    1531
  • Lastpage
    1536
  • Abstract
    For the purpose of researching charging station distribution for electric vehicles it was necessary to estimate the number of electric vehicles, especially cars in Croatia until the year 2020. Electric vehicles are definitely the future of transportation. First these will be cars since they are the most common means of transport. But besides the vehicles, attention should be paid to the best possible preparation in the field of infrastructure. It means that charging stations as well as a different system in vehicles should be standardized. Finally, all that should be built. Of course, different systems and components will be developed at the same time, so it is very hard to predict the future right now. All the above-mentioned greatly depends on the number of electric vehicles predicted for the next 10 years. Of course, the number of electric vehicles that will be sold does not depend only on the offer on the market but also on buyers´ purchasing power. Due to everything mentioned so far, it is very hard to predict the number of vehicles sold in the future. On the other hand, such estimations are necessary and they represent the basis for further development of several systems especially infrastructure that needs most time and money for development. This paper will present an estimation of electric vehicle sale in Croatia as well as all the conditions and assumptions used for that estimation.
  • Keywords
    electric vehicles; transportation; Croatia; S-curve; buyer purchasing power; charging station distribution; electric vehicle number assessment; electric vehicle sale estimation; Electric vehicles; Estimation; Market research; Motorcycles; Sociology; Statistics; S-curve; electric vehicle; estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference (ENERGYCON), 2014 IEEE International
  • Conference_Location
    Cavtat
  • Type

    conf

  • DOI
    10.1109/ENERGYCON.2014.6850626
  • Filename
    6850626