Eco-Departure of Connected Vehicles With V2X Communication at Signalized Intersections

被引:110
|
作者
Li, Shengbo Eben [1 ]
Xu, Shaobing [1 ]
Huang, Xiaoyu [2 ]
Cheng, Bo [1 ]
Peng, Huei [1 ,3 ]
机构
[1] Tsinghua Univ, Dept Automot Engn, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
[2] Ohio State Univ, Dept Mech & Aerosp Engn, Columbus, OH 43210 USA
[3] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
基金
中国国家自然科学基金;
关键词
Connected vehicles; eco-departure; eco-driving; optimal control; pseudospectral method; FUEL-ECONOMY;
D O I
10.1109/TVT.2015.2483779
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Eco-driving at signalized intersections has significant potential for energy saving. In this paper, we focus on eco-departure operations of connected vehicles equipped with an internal combustion engine and a step-gear automatic transmission. A Bolza-type optimal control problem (OCP) is formulated to minimize engine fuel consumption. Due to the discrete gear ratio, this OCP is a nonlinear mixed-integer problem, which is challenging to handle by most existing optimization methods. The Legendre pseudospectral method combining the knotting technique is employed to convert it into a multistage interconnected nonlinear programming problem, which then solves the optimal engine torque and transmission gear position. The fuel-saving benefit of the optimized eco-departing operation is validated by a passenger car with a five-speed transmission. For real-time implementation, a near-optimal departing strategy is proposed to quickly determine the behavior of the engine and transmission. When a string of vehicles are departing from an intersection, the acceleration of the leading vehicle(s) should be considered to control the following vehicles. This issue is also addressed in this paper.
引用
收藏
页码:5439 / 5449
页数:11
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