政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/79290
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113656/144643 (79%)
造访人次 : 51734129      在线人数 : 564
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/79290


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/79290


    题名: Optimal Routing for Electric Vehicle Service Systems
    作者: 洪英超
    Hung, Ying-Chao;Michailidis, George
    贡献者: 統計系
    关键词: Routing;Electric vehicle system;Maximum throughput;Perturbed Lyapunov function method;Sojourn time
    日期: 2015-06
    上传时间: 2015-11-02 17:19:48 (UTC+8)
    摘要: There is increased interest in deploying charging station infrastructure for electric vehicles, due to the increasing adoption of such vehicles to reduce emissions. However, there are a number of key challenges for providing high quality of service to such vehicles, stemming from technological reasons. One of them is due to the relative slow charging times and the other is due to the relative limited battery range. Hence, developing efficient routing strategies of electric vehicles requesting charging to stations that have available charging resources is an important component of the infrastructure. In this work, we propose a queueing modeling framework for the problem at hand and develop such routing strategies that optimise a performance metric related to vehicles’ sojourn time in the system. By incorporating appropriate weights into the well-known dynamic routing discipline “Join-the-Shortest-Queue”, we show that the proposed routing strategies not only do they maximise the queueing system’s throughput, but also significantly mitigate the vehicle’s sojourn time. The strategies are also adaptive in nature and responsive to changes in the speed of charging at the stations, the distribution of the vehicles’ point of origin when requesting service, the traffic congestion level and the vehicle speed; all the above are novel aspects and compatible with the requirements of a modern electric vehicle charging infrastructure.
    關聯: European Journal of Operational Research
    数据类型: article
    DOI 連結: https://doi.org/10.1016/j.ejor.2015.06.013
    DOI: 10.1016/j.ejor.2015.06.013
    显示于类别:[統計學系] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    1-10.pdf786KbAdobe PDF2688检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈