智能车经济性起步车速规划研究

The speed profile of an intelligent vehicle affects the fuel economy. To optimize the fuel economy of the vehicle under the acceleration condition in the starting stage, the transient fuel consumption model is established and the economic shift schedule method based on this model is proposed. Based on the longitudinal dynamic equation, the vehicle speed recursive equation based on the forward Euler discrete method is established, and the initial/final constraints and boundary conditions are given. Based on the principle of optimality of dynamic programming (DP), an economic speed planning method for the starting stage of intelligent vehicle is proposed, and correspondingly a speed search strategy is developed. Based on the joint simulation experiment of Matlab/Simulink and CarSim, the fuel consumption level of typical driver speed following mode is compared. The results show that the optimized economic speed profile and corresponding gear sequence by DP algorithm have good fuel-saving characteristics, which can provide guidance for the speed planning and gear planning of intelligent vehicle's eco-driving.