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计及交通事故影响的电动汽车路径规划和充电导航策略

黄博 胡博 谢开贵 邵常政 林铖嵘 黄威

电力系统保护与控制2024,Vol.52Issue(19):47-59,13.
电力系统保护与控制2024,Vol.52Issue(19):47-59,13.DOI:10.19783/j.cnki.pspc.240089

计及交通事故影响的电动汽车路径规划和充电导航策略

Electric vehicle path planning and charging navigation strategies considering the impact of traffic accidents

黄博 1胡博 1谢开贵 1邵常政 1林铖嵘 1黄威1

作者信息

  • 1. 输变电装备技术全国重点实验室(重庆大学),重庆 400044
  • 折叠

摘要

Abstract

The current state of research reveals a lack of comprehensive exploration of the impact of sporadic traffic accidents on the driving and charging experience of electric vehicle users.Thus a path planning and charging navigation strategy is proposed to mitigate the adverse effects of traffic accidents on users.First,guided by the two key metrics of energy consumption and travel time,which are of paramount importance to electric vehicle users,this paper establishes a comprehensive road impedance model for the transportation network based on real-time traffic information,thereby achieving a dynamic representation of traffic congestion levels.Then,considering the interplay between traffic flow and road topology,this paper formulates a consequence assessment model based on the dynamic process of traffic accidents.This encompasses the phases of"occurrence-sustenance-dispersion"for precise quantification of traffic accident consequences.Lastly,an optimization model for path planning and charging navigation,targeting the enhancement of the EV user experience,is established.To expedite the solution,a rolling optimization algorithm based on the Dijkstra algorithm is proposed.Case studies are carried out on a coupled system of power distribution and traffic networks.Results demonstrate that the proposed method can effectively reduce the overall costs of electric vehicle users and alleviate traffic congestion.

关键词

交通事故/电动汽车/实时交通/路径规划/充电导航

Key words

traffic accidents/electric vehicles/real time transportation/charging navigation/route planning

引用本文复制引用

黄博,胡博,谢开贵,邵常政,林铖嵘,黄威..计及交通事故影响的电动汽车路径规划和充电导航策略[J].电力系统保护与控制,2024,52(19):47-59,13.

基金项目

This work is supported by the National Natural Science Foundation of China(No.52107072). 国家自然科学基金项目资助(52107072) (No.52107072)

国家电网有限公司科技项目资助(5400-202399569A-3-2-ZN) (5400-202399569A-3-2-ZN)

中央高校基本科研业务费(2023CDJYXTD-004) (2023CDJYXTD-004)

电力系统保护与控制

OA北大核心CSTPCD

1674-3415

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