Eco-driving control strategy of connected electric vehicle at signalized intersection

被引：0
作者：
Chen H. [1 ]
Zhuang W. [1 ]
Yin G. [1 ]
Dong H. [1 ]
机构：
[1] School of Mechanical Engineering, Southeast University, Nanjing
来源：
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2021年 / 51卷 / 01期
关键词：
Connected and autonomous vehicle(CAV); Eco-driving; Pontryagin's minimum principle; Receding optimization; Signalized intersection;
D O I：
10.3969/j.issn.1001-0505.2021.01.024
中图分类号：
学科分类号：
摘要：
Aiming at the eco-driving problem of connected and autonomous electric vehicle (EV) at signalized intersection, an eco-driving speed optimization method based on optimal control was proposed. First, a vehicle speed optimization problem at signalized intersection was constructed, including traffic lights and speed limitation and other constraints, with the goal of minimizing the energy consumption. Then, the optimal control rate was solved by using Pontryagin's minimum principle. Finally, considering the characteristics of vehicles in the dynamic traffic scenes, such as the limited ability to predict the future traffic information and the variable traffic lights constraints, a double-layer receding distance horizon velocity optimization control strategy was proposed by transforming the eco-driving problem at the signalized intersection into the segmented optimal control problem, thus obtaining the segmented optimal speed trajectory. Simulation results show that under the two conditions of finite and infinite predictive ability, the eco-driving optimization strategy has 9.2% and 10.3% energy savings compared with the accelerate-constant-brake (ACB) strategy, respectively. With the increase of the predicted distance and the speed at the signalized intersection, while improving the traffic efficiency, the energy saving efficiency is further improved. © 2021, Editorial Department of Journal of Southeast University. All right reserved.
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页码：178 / 186
页数：8
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