Stochastic Park-and-Charge Balancing for Fully Electric and Plug-in Hybrid Vehicles

被引：55

作者：

Haeusler, Florian ^{[1
]}

Crisostomi, Emanuele ^{[2
]}

Schlote, Arieh ^{[3
]}

Radusch, Ilja ^{[1
]}

Shorten, Robert ^{[4
]}

机构：

[1] Fraunhofer Inst Open Commun Syst FOKUS, D-10589 Berlin, Germany

[2] Univ Pisa, Dept Energy Syst Terr & Construct Engn, I-56126 Pisa, Italy

[3] Natl Univ Ireland,Maynooth NUIM, Maynooth, Kildare, Ireland

[4] IBM Res Ireland, Dublin, Ireland

来源：

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2014年 / 15卷 / 02期

基金：

爱尔兰科学基金会;

关键词：

C2X; charging stations; electric vehicles (EVs); parking; plug-in hybrid vehicle; simulation; stochastic balancing;

D O I：

10.1109/TITS.2013.2286266

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Motivated by the need to provide services to alleviate range anxiety of electric vehicles, we consider the problem of balancing charging demand across a network of charging stations. Our objective is to reduce the potential for excessively long queues to build up at some charging stations, although other charging stations are underutilized. A stochastic balancing algorithm is presented to achieve these goals. A further feature of this algorithm is that it is fully decentralized and facilitates a plug-and-play type of behavior. Using our system, the charging stations can join and leave the network without any changes to, or communication with, a centralized infrastructure. Analysis and simulations are presented to illustrate the efficacy of our algorithm.

引用

页码：895 / 901

页数：8

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