| With the increasingly strict energy conservation and emission reduction policies around the world,plug-in hybrid vehicles have become a current hotspot for development.While energy management strategies have a significant impact on fuel economy.This paper proposes an energy management algorithm based on the SOC optimized trajectory,regarding the PHEV of P2 configuration as the research object.Firstly,the vehicle longitudinal dynamics model,engine,motor,battery and the driver model of the PHEV are analyzed.The simulation model of energy management strategy of P2 PHEV is built,based on the cosimulation platform of MATLAB/Simulink and GT-SUITE.Secondly,the energy management strategy based on dynamic programming algorithm is developed,and the law that the optimal SOC curve drops uniformly to the end point under different driving cycles is summarized.The equivalent fuel consumption minimization strategy based on the pontryagin’s minimum principle was developed,and an "initial SOCroute distance-initial equivalent factor" MAP was established to determine the initial equivalent factor under different driving cycles,improving the application of ECMS in different driving cycles.Thirdly,the data acquisition and analysis scheme based on cloud server is introduced.The CAN information and road condition information acquisition and analysis software are developed.It is verified that the realtime dynamic traffic flow information can well reflect the changes in actual driving speed.Fourthly,the A-ECMS strategy based on SOC optimization trajectory is developed.The linear SOC model,energy consumption distribution model and neural network model are established,and the real-time dynamic traffic flow information is used as models’ input to plan the target SOC trajectory.Simulation results show that the A-ECMS strategy can track the target SOC trajectory well.Under a certain random driving cycle,the AECMS algorithm based on the energy distribution model or neural network model can both improve fuel economy by more than 7% compared to CDCS,which is close to the global optimal solution of the dynamic programming algorithm. |
