Model predictive control of a power-split hybrid electric vehicle system

This paper presents a model predictive control (MPC) approach for the energy management problem of a power-split hybrid electric vehicle (HEV) system. The MPC is suggested to optimally share the road load to the engine and the battery. By analyzing the configuration of the power-split HEV system, we developed a simplified model for better implementation of MPC. The MPC problem is solved using numerical computation method: continuation and generalized minimum residual (C/GMRES) method. The computer simulation results showed that the fuel economy was improved using the MPC approach than the ADVISOR rule based approach over three driving cycles respectively. We conclude that the MPC approach is effective for the application of power-split HEV systems energy management and has the potential for real-time implementation. The simplified modeling method of the power-split HEV system configuration can be applied to other configurations of HEV.