南方电网技术2017，Vol.11Issue(2)：41-49,9.DOI:10.13648/j.cnki.issn1674-0629.2017.02.007
基于实时信息感知的电动汽车物流配送路径优化与充电导航
Logistics Distribution Route Optimization and Charging Navigation of Electric Vehicle Based on Real-Time Information Sensing
摘要
Abstract
In order to improve the efficiency of electric vehicles (EV) participating in logistics distribution and to avoid the impact of massive disordered charge on safe operation of the distribution system, this paper presents a charging service fee model based on real-time traffic information sensing by crowd sensing technology to achieve the messages about real time traffic status and charging station information, and proposes a waiting time estimation model in the charging station based on queue theory.Considering the constraints of route selection, time, battery capacity, cargo capacity and operating voltage in distribution system, this paper constructs a model of EV path optimization and charging navigation which minimizes the sum of logistics travel time cost, waiting time cost, battery depreciation cost and fast charging cost.A comprehensive numerical simulation is conducted on the 33-node logistics distribution system in a city center within 50×50 km zone.The results show that considering the real-time information sensing can reduce the logistics distribution cost effectively and alleviate the harmful effect on distribution system operation stability.关键词
群智感知/电动汽车/物流配送/路径优化/充电导航/实时交通路况/充电服务费Key words
crowd sensing/electric vehicles (EV)/logistics distribution/route optimization/charging navigation/real-time traffic information/charging service fees分类
信息技术与安全科学引用本文复制引用
邓友均,李明,余千,张鹏兴,张彦涛..基于实时信息感知的电动汽车物流配送路径优化与充电导航[J].南方电网技术,2017,11(2):41-49,9.基金项目
湖南省杰出青年科学基金项目(10JJ010).Supported by Scientific Funds for Outstanding Young Scientists of Hunan Province (10JJ010). （10JJ010）
