A vehicle predictive eco-cruise control system is developed that minimizes vehicle fuel consumption levels utilizing roadway topographic information. The predictive eco-cruise control system consists of three components: a fuel consumption model, a powertrain model, and an optimization algorithm. The developed system generates an optimal vehicle control plan using anticipated roadway grade information so that the vehicle can vary its speed within a preset speed window in a fuel-saving manner. The developed system is tested by simulating a vehicle trip on synthetic roadway profiles and compared to a conventional cruise control system performance. Finally, the potential benefits of the predictive eco-cruise control system are quantified for the entire United States.


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    Titel :

    Predictive eco-cruise control: Algorithm and potential benefits


    Beteiligte:
    Sangjun Park, (Autor:in) / Rakha, H. (Autor:in) / Kyoungho Ahn, (Autor:in) / Moran, K. (Autor:in)


    Erscheinungsdatum :

    01.06.2011


    Format / Umfang :

    376215 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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