In this paper, data from real world electric vehicle trips have been analyzed. Based on a data set recorded from 40 different electric vehicles over a period of one year, more than 54,000 single trips were analyzed. It is shown when, where and how long the electric vehicles are used and how often and how much they get charged. Three different user types have been identified and the results show that most drivers use their cars in a very risk-averse way. In a second step, dynamic traffic information for electric vehicles is developed by analyzing the impact factors on the energy consumption. The analyzed data are used to expand current dynamic traffic information to include electric specific information.


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    Titel :

    Mobility patterns and charging behavior of BMW i3 customers


    Beteiligte:


    Erscheinungsdatum :

    2016-11-01


    Format / Umfang :

    792514 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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