4.8 Article

Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 9, 期 8, 页码 6047-6057

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3109956

关键词

Inductive charging; Vehicle dynamics; Vehicle-to-grid; Roads; Dynamic scheduling; Smart cities; Batteries; Ancillary service; dynamic wireless charging; electric vehicles (EVs); vehicle-to-grid (V2G) scheduling

资金

  1. General Program of Guangdong Basic and Applied Basic Research Foundation [2019A1515011032]
  2. Stable Support Plan Program of Shenzhen Natural Science Fund [20200925155105002]
  3. Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation [2020B121201001]

向作者/读者索取更多资源

This article proposes a multistage system framework for an integrated EV dynamic wireless charging system in a smart city. It develops an optimal placement strategy for power tracks based on city traffic information and EV energy demand, and formulates a dynamic V2G scheduling scheme to coordinate the schedules of EVs with V2G ancillary services.
Electric vehicle (EV) dynamic wireless charging system has become an emerging application in the area of the intelligent transportation system (ITS). However, an integrated design of the EV dynamic wireless charging system requires the considerations of both the economical and technical perspectives of a smart city. Specifically, most of the existing researches unilaterally consider the application of either placement strategy for power tracks (PTs) or dynamic vehicle-to-grid (V2G) scheduling. In this article, we propose a multistage system framework to account for an integrated EV dynamic wireless charging system in a smart city. First of all, an optimal placement strategy for PTs is developed based on city traffic information and EV energy demand. Then, having the optimal locations of PTs through the previous stage approach, the proposed dynamic V2G scheduling scheme is formulated to coordinate the schedules of EVs with the provision of daytime V2G ancillary services. Our simulation results present that the proposed multistage system model achieves improvements on both the placement strategy and V2G scheduling scheme. In addition, relatively low economic system costs can be obtained through our proposed model.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据