the 21st IFAC World Congress (the 1st Virtual IFAC World Congress)
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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 mainly
based on a driving route model concerning road grades and vehicle speed distributions. The
driving route model is estimated with terrain maps and historical driving data on a planned
route. In addition, this study builds two energy consumption maps for the EV and HV modes
of the PHVs. The driving route model and the energy consumption maps lead to formulating
an integer linear programming problem by regarding the two drive modes as binary variables. A
detailed vehicle simulator named ADVISOR demonstrates that the proposed method improves
fuel effciency compared with a conventional one.
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