摘要
本文旨在实现智能车辆在换道过程中经济车速规划。基于瞬态燃油消耗模型、车辆动力学模型和换道过程中道路曲率信息,利用动态规划算法求得车辆在换道过程中的经济车速轨迹。Matlab/Simulink与Car Sim联合仿真结果表明,与定速巡航算法相比,动态规划算法可节油8%左右。采用所提出的方法可在保证智能车辆安全行驶的基础上,提升其燃油经济性能,为智能车辆换道的速度控制提供决策依据。
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 Car Sim 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.
作者
金辉
丁峰
Jin Hui;Ding Feng(School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081)
出处
《汽车工程》
EI
CSCD
北大核心
2018年第5期542-546,553,共6页
Automotive Engineering
基金
国家自然科学基金(51375053)资助
关键词
智能车辆
换道行驶
经济车速
油耗模型
动态规划
intelligent vehicle
lane change maneuvers
economic speed
fuel consumption model
dynamic programming
