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

被引:39
作者
Zhang, Shiyao [1 ]
Yu, James J. Q. [2 ]
机构
[1] Southern Univ Sci & Technol, Acad Adv Interdisciplinary Studies, Shenzhen 518055, Peoples R China
[2] Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2022年 / 9卷 / 08期
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; INDUCTIVE POWER TRANSFER; FORMULATION; DESIGN;
D O I
10.1109/JIOT.2021.3109956
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:6047 / 6057
页数:11
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