Model predictive control for series-parallel plug-in hybrid electrical vehicle using GPS system

Aming at the problem of Hybrid Electric Vehicle (HEV) control strategy being sensitive to the road situation, a model predictive control strategy was designed with length information of the drive mission from a global positioning system(GPS) to improve the Robustness against the road situation based on a Matlab/Simulink vehicle dynamic model for series-parallel plug-in HEV. In this paper, a blended driving mode (BDM) was realized with assistance of the variable SOC reference depending on knowledge about the mission length and the distance the vehicle had driven in the cycle. The test drive cycles include the data based on standart test and the real drive cycle of the 600th bus in Tianjin. The simulation results showed that the control strategy could greatly improve the fuel consumption 6% to 24% compared to the charge depleting charge sustaining strategy (CDCS).