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动态环境下基于换电模式的电动车路径问题研究

周妮 王文 薛晗 陈琼

集美大学学报(自然科学版)2024,Vol.29Issue(1):39-46,8.
集美大学学报(自然科学版)2024,Vol.29Issue(1):39-46,8.DOI:10.19715/j.jmuzr.2024.01.06

动态环境下基于换电模式的电动车路径问题研究

Research on the Path Issue of Electric Vehicles Based on the Power Swapping Mode in Dynamic Environment

周妮 1王文 1薛晗 1陈琼1

作者信息

  • 1. 集美大学航海学院,福建 厦门 361021
  • 折叠

摘要

Abstract

In the actual distribution,considering the vehicle speed is affected by different weather and dif-ferent time periods,according to the function relationship between speed and energy consumption of electric vehicles,with the objective of minimum total transportation cost composed of the fixed driving cost,energy consumption cost and time penalty cost of the electric vehicle,and with vehicle load,battery capacity,cus-tomer time window,and vehicle speed as constraints,a routing optimization model of electric vehicle based on power change mode and time-varying speed in dynamic environment is constructed.Genetic algorithm is used to solve the model with real number coding,roulette operator,random single point crossover,random varia-tion,and small variation rate to improve the local search ability,and then it is compared with several cases when the vehicle speed is constant.The experimental results show that the established optimization model is more in line with the actual situation,and can reasonably arrange vehicle departures and plan distribution paths and sequences,according to the customer and road network in the dynamic environment,so as to reduce the distribution costs,and provide a reference for logistics enterprises to operate vehicles and optimize their distribution.

关键词

物流配送/时变速度/遗传算法/换电式电动车/路径问题/总运输费用

Key words

logistics engineering/time-varying speed/genetic algorithm/switching electric vehicles/path problems/total transportation cost

分类

交通工程

引用本文复制引用

周妮,王文,薛晗,陈琼..动态环境下基于换电模式的电动车路径问题研究[J].集美大学学报(自然科学版),2024,29(1):39-46,8.

基金项目

厦门市自然科学基金项目(3502Z20227212) (3502Z20227212)

福建省中青年教师教育科研项目(JAT210221,JAT220181) (JAT210221,JAT220181)

福建省本科高校教育教学研究项目(FBJG20220200) (FBJG20220200)

国家自然科学基金项目(52201411) (52201411)

集美大学科研基金项目(ZQ2022042) (ZQ2022042)

集美大学学报(自然科学版)

1007-7405

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