Comparative Analysis of Predictive Cruise Control with Time-domain and Space-domain Linear Models

Model Predictive Control (MPC) is a good way to solve Predictive Cruise Control (PCC) problems because of its advantages of rolling optimization framework. The time-domain and space-domain models are widely used because of their respective advantages. This paper compares the time-domain and the space-domain vehicle models used for predictive energy-saving control in the MPC framework. And the linear model used in this paper can simplify the solution and improve the calculation speed. The similarities and differences of the driving economy in the two domains are analyzed in detail from theoretical modeling to simulation experiments. The multi-objective optimization control problem was established and the parameter sensitivity analysis was completed. It is obvious to know that the sensitive range can be found by reasonable parameter adjustment. And experimental results show that the vehicle model in the space domain presents excellent speed tracking performance, and the computational efficiency of the model is significantly improved. The time-domain vehicle model has better fuel economy.