多需求场景下的汽车充电路径诱导优化

Optimization of Vehicle Charging Path Planning in Multi Demand Scene

电动汽车的发展与推广有利于推进清洁能源的利用和节能减排,而对于电动汽车的充电路径优化有利于提高用户的使用体验,从而促进电动汽车的推广普及。本文针对用户追求时间效率,费用成本最低以及行驶途中临时紧急续航三种不同电动汽车充电需求,综合考虑充电站信息、路网信息、电动汽车实时信息以及用户个性化需求,基于Dijkstra算法和排队论原理提出相应优化的路径规划策略。选定北京三环内部分区域构建含有66个节点和88个路段的实验路网,通过MatLab开发仿真环境,进行验证。结果表明,该电动汽车充电路径规划策略可有效地减少完成电动汽车充电需求的各项成本,提高公共充电桩的利用效率和用户便利性。

The development and promotion of electric vehicles is conducive to promoting the utilization of clean energy and energy conservation and emission reduction,while the optimization of charging path of electric vehicles is conducive to improving the user experience,promoting the popularization of electric vehicles.Based on user pursuit of time efficiency,lowest cost and temporary emergency car charge demand,comprehensive consideration of information,network information,the electric car charging station real time information and user personal demand,based on the Dijkstra algorithm and the queuing theory principle put forward the corresponding optimization of path planning.The experimental road network consisting of 66 nodes and 88 routes was constructed in selected areas of the third ring road in Beijing,and the simulation environment was developed through MatLab for verification.The results show that the electric vehicle charging path planning strategy can effectively reduce the various costs of completing electric vehicle charging requirements and improve the utilization efficiency and user convenience of public charging piles.