This paper presents a method for increasing fuel economy using traffic data and a model predictive controller. Using knowledge of the traffic ahead, a vehicle can react to changes in traffic density or speed before they happen, increasing the efficiency of a trip and providing valuable information to the driver. In particular, the traffic information is used to determine a time-varying velocity envelope that the vehicle must satisfy. Then, a vehicle model is used to compute the vehicle speed profile that minimizes fuel use and satisfies the velocity constraints. Simulation results' show the feasibility of the proposed approach on a passenger vehicle with minor hardware modifications required for its implementation.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Integrating traffic data and model predictive control to improve fuel economy


    Weitere Titelangaben:

    Integration von Verkehrsdaten und modellprädiktiver Regelung zur Verbesserung der Kraftstoffeinsparung


    Beteiligte:


    Erscheinungsdatum :

    2009


    Format / Umfang :

    6 Seiten, 8 Bilder, 9 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch