Receding Horizon Optimal Control of PHEV with Demanded Torque Estimation Model

Abstract This paper proposes a real-time optimization method for the energy management of a plug-in hybrid electric vehicle (PHEV). Focusing on a parallel PHEV and the total energy consumption minimization of on-road driving operation, a suitable control scheme that combining a rule-based block for operation modes decision and a low-level model predictive control (MPC) algorithm to manage the transient operation during power assistance. During the transient operation, a model with time-varying parameter is introduced to generate the driving torque during the predictive horizon. By using the C/GMRES (Continuation/General Minimum Residual) based algorithm, the proposed nonlinear MPC problem is solved efficiently. Simulation results demonstrate the control performance.