Online Optimal Mode Control for Plug-in Hybrid Vehicles Based on Driving Routes

摘要

This paper proposes an online optimal mode control method to minimize fuel consumption for plug-in hybrid vehicles (PHVs) considering two drive modes: electric vehicle (EV) and hybrid vehicle (HV) modes. The proposed method predicts fuel and electricity consumption of PHVs based mainly on a driving-route model that considers road grades and vehicle speed distributions. The driving-route model is estimated with terrain maps and historical driving data on a planned route. In this work, two energy consumption maps are built for the EV and HV modes of the PHVs. The driving-route model and energy consumption maps lead to the formulation of an integer linear programming problem by regarding the two drive modes as binary variables. A detailed vehicle simulator, called ADVISOR, demonstrates that the proposed method improves fuel efficiency over that of a conventional method.