This paper investigates the role of partial or complete knowledge of future driving conditions in fuel economy of Plug-in Hybrid Vehicles (PHEVs). We show that with the knowledge of distance to the next charging station only, substantial reduction in fuel use, up to 18%, is possible by planning a blended utilization of electric motor and the engine throughout the entire trip. To achieve this we formulate a modified Equivalent Consumption Minimization Strategy (ECMS) which takes into account the traveling distance. We show further fuel economy gain, in the order of 1–5%, is possible if the future terrain and velocity are known; we quantify this additional increase in fuel economy for a number of velocity cycles and a hilly terrain profile via deterministic dynamic programming.
- Dynamic Systems and Control Division
Role of Trip Information Preview in Fuel Economy of Plug-In Hybrid Vehicles
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Zhang, C, Vahidi, A, Li, X, & Essenmacher, D. "Role of Trip Information Preview in Fuel Economy of Plug-In Hybrid Vehicles." Proceedings of the ASME 2009 Dynamic Systems and Control Conference. ASME 2009 Dynamic Systems and Control Conference, Volume 1. Hollywood, California, USA. October 12–14, 2009. pp. 253-258. ASME. https://doi.org/10.1115/DSCC2009-2750
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