针对网联汽车在多交叉口工况的通行过程，提出了一种多信号灯配时已知条件下的节油驾驶求解方法，并建立了相应的驾驶策略。将两信号灯下的节油策略辨识问题构建为约束型最优控制问题，该问题以发动机油耗为性能指标，以车辆纵向动力学模型为状态方程，并考虑了车辆性能约束、环境约束等。为求解该问题，提出了以动态规划为核心的反向递推计算方法，发现了车辆加速-匀速-减速的3段式节油行驶模式。以此为基础，将车辆在多信号灯下的节油驾驶策略辨识问题转化为有向图的最短路径求解问题，并采用Floyd-Warshall最短路径算法进行求解，得到了各交叉口道路限速相同及不同工况下的车辆节油驾驶策略。
This paper describes a fuel-saving driving strategy for multiple intersections with known signal times. The fuel-saving strategy with two signals is constructed as a constrained optimal control problem with the vehicle longitudinal dynamics model as the state equations and with the vehicle physical performance and environmental conditions as constraints. A reverse recursive calculational method based on dynamic programming is used to solve the problem with an accelerate-cruise-decelerate fuel-saving driving strategy. The fuel-saving modes for two intersections are then extended to multiple intersections as a shortest path problem solved by the Floyd-Warshall algorithm. A fuel-saving driving strategy is then developed for multiple intersections with the same or different speed limits.
[1] 李克强, 戴一凡, 李升波, 等. 智能网联汽车(ICV)技术的发展现状及趋势[J]. 汽车安全与节能学报, 2017, 8(1):1-14. LI K Q, DAI Y F, LI S B, et al. State-of-the-art and technical trends of intelligent and connected vehicles[J]. Journal of Automotive Safety and Energy, 2017, 8(1):1-14. (in Chinese)
[2] 李升波, 徐少兵, 王文军, 等. 汽车经济性驾驶技术及应用概述[J]. 汽车安全与节能学报, 2014, 5(2):121-131. LI S B, XU S B, WANG W J, et al. Overview of ecological driving technology and application for ground vehicles[J]. Journal of Automotive Safety and Energy, 2014, 5(2):121-131. (in Chinese)
[3] XU S B, LI S E, CHENG B, et al. Instantaneous feedback control for a fuel-prioritized vehicle cruising system on highways with a varying slope[J]. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(5):1210-1220.
[4] LI S E, HU X S, LI K Q, et al. Mechanism of vehicular periodic operation for optimal fuel economy in free-driving scenarios[J]. IET Intelligent Transport Systems, 2015, 9(3):306-313.
[5] LI S E, GUO Q Q, XIN L, et al. Fuel-saving servo-loop control for an adaptive cruise control system of road vehicles with step-gear transmission[J]. IEEE Transactions on Vehicular Technology, 2017, 66(3):2033-2043.
[6] XU S B, LI S E, PENG H, et al. Fuel-saving cruising strategies for parallel HEVs[J]. IEEE Transactions on Vehicular Technology, 2016, 65(6):4676-4686.
[7] LI S E, GUO Q Q, XU S B, et al. Performance enhanced predictive control for adaptive cruise control system considering road elevation information[J]. IEEE Transactions on Intelligent Vehicles, 2017, 2(3):150-160.
[8] LIN Q F, DU X J, LI S E, et al. Vehicle-to-infrastructure communication based eco-driving operation at multiple signalized intersections[C]//Proceedings of 2016 IEEE Vehicle Power and Propulsion Conference. Hangzhou, China, 2016:1-6.
[9] ASADI B, VAHIDI A. Predictive cruise control:Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time[J]. IEEE Transactions on Control Systems Technology, 2011, 19(3):707-714.
[10] XIA H T, BORIBOONSOMSIN K, BARTH M. Dynamic eco-driving for signalized arterial corridors and its indirect network-wide energy/emissions benefits[J]. Journal of Intelligent Transportation Systems, 2013, 17(1):31-41.
[11] KAMAL A S, MUKAI M, MURATA J, et al. Model predictive control of vehicles on urban roads for improved fuel economy[J]. IEEE Transactions on Control Systems Technology, 2013, 21(3):831-841.
[12] YAMAGUCHI D, KAMAL M A S, MUKAI M, et al. Model predictive control for automobile ecological driving using traffic signal information[J]. Journal of System Design and Dynamics, 2012, 6(3):297-309.
[13] HE X Z, LIU H X, LIU X B. Optimal vehicle speed trajectory on a signalized arterial with consideration of queue[J]. Transportation Research Part C:Emerging Technologies, 2015, 61:106-120.
[14] DE NUNZIO G, DE WIT C C, MOULIN P, et al. Eco-driving in urban traffic networks using traffic signals information[J]. International Journal of Robust and Nonlinear Control, 2016, 26(6):1307-1324.
[15] XU S B, LI S E, DENG K, et al. A unified pseudospectral computational framework for optimal control of road vehicles[J]. IEEE/ASME Transactions on Mechatronics, 2015, 20(4):1499-1510.
[16] 徐少兵. 车辆经济性驾驶的策略辨识与操控规律[D]. 北京:清华大学, 2016.XU S B. Strategy identification and operation rules of vehicular economical driving[D]. Beijing:Tsinghua University, 2016. (in Chinese)
[17] AHN K, RAKHA H, TRANI A, et al. Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels[J]. Journal of Transportation Engineering, 2002, 128(2):182-190.
[18] SAERENS B, RAKHA H A, DIEHL M, et al. A methodology for assessing eco-cruise control for passenger vehicles[J]. Transportation Research Part D:Transport and Environment, 2013, 19:20-27.
[19] PELKMANS L, DEBAL P, HOOD T, et al. Development of a simulation tool to calculate fuel consumption and emissions of vehicles operating in dynamic conditions[C]//Proceedings of 2004 SAE Fuels & Lubricants Meeting & Exhibition. Toulouse, France, 2004.
[20] LI S E, XU S B, KUM D. Efficient and accurate computation of model predictive control using pseudospectral discretization[J]. Neurocomputing, 2016, 177:363-372.
