沈阳理工大学学报2024,Vol.43Issue(1) :28-35.DOI:10.3969/j.issn.1003-1251.2024.01.005

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

李佳燕 方存光 槐崇飞
沈阳理工大学学报2024,Vol.43Issue(1) :28-35.DOI:10.3969/j.issn.1003-1251.2024.01.005

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

李佳燕 1方存光 1槐崇飞1
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作者信息

  • 1. 沈阳理工大学 汽车与交通学院,沈阳 110159
  • 折叠

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.

Abstract

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 consump-tion,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

Key words

battery electric vehicle/energy consumption model/path planning/ant colony algorithm

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基金项目

辽宁省博士科研启动基金计划项目(2021-BS-164)

出版年

2024
沈阳理工大学学报
沈阳理工大学

沈阳理工大学学报

影响因子:0.223
ISSN:1003-1251
参考文献量17
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