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Optimization of Energy Consumption Based on Traffic Light Constraints and Dynamic Programming
Electronics ( IF 2.6 ) Pub Date : 2021-09-17 , DOI: 10.3390/electronics10182295
Jiaming Xing , Liang Chu , Chong Guo

Traffic lights are an important part of urban roads. They improve traffic conditions but bring about a limitation of driving speed in the space–time domain for vehicles. In this paper, a traffic light model based on a vehicle–road cooperative system is built. The model provides the vehicle with speed constraints when passing the green light in the time–space domain. A global-optimization-based energy management strategy based on dynamic programming (DP) is constructed with the constraints. The simulations are performed for two driving situations of different signal phases with the electric vehicle driven by a single power source. Compared with the traditional fixed speed driving strategy and green light optimal speed advisory (GLOSA) system, the energy management strategy proposed in this paper is able to control operating points of the motor to be distributed in more efficiency areas. A higher economy is achieved from simulation results.

中文翻译:

基于红绿灯约束和动态规划的能耗优化

交通信号灯是城市道路的重要组成部分。它们改善了交通状况,但在时空域中限制了车辆的行驶速度。本文构建了基于车路协同系统的交通灯模型。该模型为车辆在时空域中通过绿灯时提供了速度限制。基于动态规划(DP)的基于全局优化的能源管理策略被构建与约束。对电动汽车由单一电源驱动的不同信号相位的两种驾驶情况进行了仿真。与传统的定速驾驶策略和绿灯最优速度咨询(GLOSA)系统相比,本文提出的能源管理策略能够控制电机的工作点分布在更多的效率区域。模拟结果实现了更高的经济性。
更新日期:2021-09-17
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