智能车辆换道行驶的经济车速研究^*

This paper aims at realizing economic speed programming in the lane-change process of intelligent vehicles. Based on transient fuel consumption model, vehicle dynamics model and the road curvature information in the process of lane-change, the trajectory of vehicle with economic speed is obtained by using dynamic programming algorithm. The results of Matlab/Simulink and CarSim co-simulation show that compared with cruise control algorithm, dynamic programming algorithm can reduce fuel consumption by around 8%. The adoption of the technique proposed can enhance fuel economy while assuring the safe driving of intelligent vehicle, providing the decision-making basis of speed control in the lane-change process of intelligent vehicles.