Fuel economy optimization of hybrid electric vehicles

Abstract

Fuel economy optimization of hybrid vehicles is essentially solving the optimal energy management mode and shift schedule under specified system constraints so as to realize the optimal control of hybrid vehicles. However, the global optimal dynamic programming control strategy cannot use in the real-time control since the uncertainty of the driving environment, an optimization control strategy which can be used in the practice is proposed in this paper. Under knowing the running state information of the car on a predicted future time domain provided by the vehicles navigation system (GPS/GIS), this paper solve the optimal shift schedule and energy management mode which minimize the equivalent fuel consumption of the forecast time domain with the dynamic programming algorithm(DP), and then under the framework of model predictive control to realize the rolling optimization. Finally, the energy management mode and shift schedule of hybrid electric vehicles have been verified by the simulation, and the simulation results show the effectiveness of the optimization control strategy of the hybrid electric vehicles.