Abstract
In this paper, we propose a fuel consumption optimization technique for a power-split HEV via gain-scheduled model predictive control. The control algorithms for the powertrain choose the power split between engine and electric motor in order to minimize the fuel consumption. Operating conditions of the HEV change during driving in real time by road conditions and driver demand. Therefore, it is necessary to have optimal control in real time and to consider the time-varying motor condition. We model the HEV and propose a gain-scheduled model predictive control. Using the proposed technique, we succeeded in optimizing fuel consumption for a power-split HEV. Finally, the proposed approach was validated by numerical simulations.
