摘要
针对长途出行的电动汽车路径引导,提出了一种基于改进型dijkstra算法的电动汽车路径搜索方法,研究了不同出行时刻对路径规划的影响,并基于充电次数最少、路程最短、时间最短等3种策略研究了用户的满意度。首先,对充电站的情况进行了分析,根据充电站负荷情况在时间序列上分析充电时间与等待时间;其次,对用户的偏好进行了分析,针对长途出行情况下用户充电行为进行建模,并对传统的路径规划算法进行了改进,提出考虑时间与空间双重尺度的路径规划方法;最后,根据所建模型进行了实验分析。实验结果表明,相较于考虑路程最短的路径,考虑充电次数最少的路径规划可有效提高电动汽车长途出行用户充电满意度。
Aiming at the path guidance for long-distance travel of electric vehicle,this paper proposes a path searching method based on improved Dijkstra algorithm.The impact of travel time on path planning,and the user satisfaction based on the three strategies in terms of minimum charging times,shortest distance and shortest time,have been respectively investigated.Firstly,the current situation of the charging station including the charging time and waiting time are analyzed in the time series.Secondly,the charging behavior of the users is modeled to cope with the long-distance travel.Thirdly,a path planning method considering the double scales of time and space is proposed for improvement.The experimental results show that comparing with the shortest path-oriented navigation,the path planning considering least charging times can effectively improve the satisfaction of electric vehicle drivers in long-distance travelling.
作者
刘珊
李建贵
李强
朱郭福
陈晨
LIU Shan;LI Jiangui;LI Qiang;ZHU Guofu;CHEN Chen(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China)
