Power-Based Optimal Longitudinal Control for a Connected Eco-Driving System
Power-Based Optimal Longitudinal Control for a Connected Eco-Driving System
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DOI：
10.1109/tits.2016.2535439
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发表时间：
2016-10
影响因子：
8.5
通讯作者：
Qiu Jin;Guoyuan Wu;K. Boriboonsomsin;M. Barth
中科院分区：
文献类型：
--
作者：
Qiu Jin;Guoyuan Wu;K. Boriboonsomsin;M. Barth
车辆自动纵向控制是一项已经实施多年的汽车技术。联网生态驾驶通过最大限度地减少车辆的能源消耗和排放，有可能扩展自动纵向控制的能力。在本文中，我们提出了一种基于功率的互联生态驾驶系统的纵向控制算法，该算法在计算最优速度剖面时考虑了车辆的制动比油耗或BSFC地图、道路等级和其他约束条件(如前方交通状况和即将到来的十字路口的交通信号状态)，从而达到节能减排的目的。通过大量的数值分析对该算法的性能进行了评估，并与基线和现有的生态驾驶算法进行了比较，结果验证了该算法的有效性。
Automatic longitudinal control of vehicles is an automobile technology that has been implemented for many years. Connected eco-driving has the potential to extend the capability of an automatic longitudinal control by minimizing the energy consumption and emissions of the vehicle. In this paper, we propose a power-based longitudinal control algorithm for a connected eco-driving system, which takes into account the vehicle's brake specific fuel consumption or BSFC map, roadway grade, and other constraints (e.g., traffic condition ahead and traffic signal status of the upcoming intersection) in the calculation of an optimal speed profile in terms of energy savings and emissions reduction. The performance of the proposed algorithm was evaluated through extensive numerical analyses of driving along a signalized arterial, and the results validated the effectiveness of the proposed algorithm as compared with baseline and an existing eco-driving algorithm.