基于蚁群算法的纯电动汽车路径规划研究  

Research on Battery Electric Vehicle Path Planning Based on Ant Colony Algorithm

作　　者：李佳燕 方存光[1] 槐崇飞 LI Jiayan;FANG Cunguang;HUAI Chongfei(Shengyang Ligong University,Shenyang 110159,China)

机构地区：[1]沈阳理工大学汽车与交通学院,沈阳110159

出　　处：《沈阳理工大学学报》2024年第1期28-35,共8页Journal of Shenyang Ligong University

基　　金：辽宁省博士科研启动基金计划项目(2021-BS-164)。

摘　　要：为了缓解纯电动汽车用户出行焦虑,提出一种考虑交通动态性及速度时变性的路径规划方法。根据道路节点位置、海拔高度、充电桩位置等信息建立沈阳市20 km×20 km区域道路拓扑结构,基于车辆充电需求、行驶距离、行驶时间、行驶能耗、附件能耗建立纯电动汽车多目标路径函数,采用蚁群算法开展路径规划。仿真结果表明,本文提出的规划方法能够找到切合实际的目标路径。In order to alleviate the anxiety of battery electric vehicle users in travel,a path planning method considering traffic dynamics and time-varying speed is proposed.A 20 km×20 km regional road topology is established based on road node locations,altitude,charging pile locations,etc.A multi-objective path function for battery electric vehicles is established based on vehicle charging demand,driving distance,driving time,driving energy consumption,and accessory energy consumption,and an ant colony algorithm is used to carry out path planning.Simulation results show that with the proposed planning method a realistic target path.

关 键 词：纯电动汽车 能耗模型 路径规划 蚁群算法 

分 类 号：U469.72[机械工程—车辆工程]