Optimal Design And Dynamic Control Of Dual Planetary Hybrid Electric Bus

mode shifting process is analyzed based on the developed model to determine the reasonfor the system shock generated. Engine torque estimation algorithm is then designedaccording to the principle of the nonlinear observer, and the prediction model of thedegree of shock is established based on the theory of model predictive control. Finally, theDCCS with adaptation for a complex driving cycle is realized by combining the feedbackcontrol and the predictive model. The presented DCCS is validated on the co-simulationplatform of AMESim and Simulink. Simulation results show that: the parametric designmethod is rational, and compared with traditional bus, the fuel economy of the city buswith new parameters is remarkably improved; compared with engine optimal control, theinstantaneous control strategy improves the fuel economy by4%; in the DCCS, the enginetorque is estimated accurately and the system shock is limited under5m/s3, the ridingcomfort is improved. The presented parametric design method, instantaneous optimalcontrol strategy and DCCS would contribute to the supplement of the design theory andcontrol method, hence promoting the application of the dual planetary hybrid electric bussystem.