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- 2018
多交叉口工况的网联汽车最优节油驾驶策略
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Abstract:
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。
Abstract：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.
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