E-CoSM 2018 Paper Abstract


Paper ThE1.5

Tateiwa, Nariaki (Kyushu University), Hata, Nozomi (Kyushu University), Tanaka, Akira (Kyushu University), Yoshida, Akihiro (Kyushu University), Wakamatsu, Takashi (Faculty of Mathematics, Kyushu University), Nakayama, Takashi (Kyushu University), Fujisawa, Katsuki (Kyushu University)

Hybrid Vehicle Control and Optimization with a New Mathematical Method

Scheduled for presentation during the Invited session "Hybrid and Electric Vehicles II" (ThE1), Thursday, September 20, 2018, 16:40−17:00, Conference Room of Pine Billows

5th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, September 20-22, 2018, South Lake Hotel, Changchun, China

This information is tentative and subject to change. Compiled on November 29, 2021

Keywords Powertrain Control, Energy Management, Hybrid and Electric Vehicles


For hybrid electric vehicle (HEV) systems, studies using model-based simulators have been actively conducted. The vehicle powertrain simulator makes it easier to evaluate the powertrain system. In this paper, we utilize a Toyota Hybrid System (THS) simulator to obtain a long-term control that optimizes the fuel efficiency when the vehicle speed over a certain period is given. Our proposed method obtains optimal long-term control by solving the shortest path problem with state of charge (SOC) constraints after constructing a graph expressing the transition of the fuel and battery consumption. We also propose a search method for vehicle control using bicubic spline interpolation without the preparation of a controller. We finally remove almost all edges from a graph by 97.2% at most through the utilization of 0-1 integer linear programming, which enables a 3.88x speedup in obtaining the optimal vehicle control.


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