This paper outlines the need for and the requirements of trip prediction to optimally derive the charging behavior of plug-in electric vehicles. The information required for trip prediction by a charging-service provider is shown, and a novel trip prediction model is proposed. The proposed model is a semi-Markov model that predicts the next arrival location and the waiting time at the current location. Combining this with a prediction of the energy need and the duration of the trip to the predicted location provides a basis for determining the charging behavior. The proposed prediction model is compared with a naive predictor that uses yesterday's trips to predict today's trips. It is shown that the proposed model predicts the next location with 84% accuracy.


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    Titel :

    Toward electric vehicle trip prediction for a charging service provider


    Beteiligte:
    Sundstrom, Olle (Autor:in) / Corradi, Olivier (Autor:in) / Binding, Carl (Autor:in)


    Erscheinungsdatum :

    01.03.2012


    Format / Umfang :

    445674 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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