Abstract
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.
| Translated title of the contribution | A Study on Economic Speed in Lane-change Maneuvers of Intelligent Vehicles |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 542-546 and 553 |
| Journal | Qiche Gongcheng/Automotive Engineering |
| Volume | 40 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 25 May 2018 |