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.
Integrating traffic data and model predictive control to improve fuel economy
Integration von Verkehrsdaten und modellprädiktiver Regelung zur Verbesserung der Kraftstoffeinsparung
2009
6 Seiten, 8 Bilder, 9 Quellen
Aufsatz (Konferenz)
Englisch
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