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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    Title :

    Predictive eco-cruise control: Algorithm and potential benefits


    Contributors:
    Sangjun Park, (author) / Rakha, H. (author) / Kyoungho Ahn, (author) / Moran, K. (author)


    Publication date :

    2011-06-01


    Size :

    376215 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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