An Efficient Wireless Power Transfer System To Balance the State of Charge of Electric Vehicles

被引:9
作者
Sarker, Ankur [1 ]
Qiu, Chenxi [1 ]
Shen, Haiying [1 ]
Gil, Andrea [2 ,4 ]
Taiber, Joachim [2 ,4 ]
Chowdhury, Mashrur [3 ]
Martin, Jim
Devine, Mac [5 ]
Rindos, A. J. [5 ]
机构
[1] Clemson Univ, Dept Elect & Comp Engn, Clemson, SC 29634 USA
[2] Clemson Univ, Int Ctr Automot Res, Greenville, SC 29607 USA
[3] Clemson Univ, Dept Automot Engn, Clemson, SC 29634 USA
[4] Clemson Univ, Sch Comp, Clemson, SC 29634 USA
[5] IBM Corp, Durham, NC 27709 USA
来源
PROCEEDINGS 45TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING - ICPP 2016 | 2016年
关键词
Electric vehicle; Transportation system; Wireless power transfer; In-motion power transfer;
D O I
10.1109/ICPP.2016.44
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
As an alternate form in the road transportation system, electric vehicle (EV) can help reduce the fossil-fuel consumption. However, the usage of EVs is constrained by the limited capacity of battery. Wireless Power Transfer (WPT) can increase the driving range of EVs by charging EVs in-motion when they drive through a wireless charging lane embedded in a road. The amount of power that can be supplied by a charging lane at a time is limited. A problem here is when a large number of EVs pass a charging lane, how to efficiently distribute the power among different penetrations levels of EVs? However, there has been no previous research devoted to tackling this challenge. To handle this challenge, we propose a system to balance the State of Charge (called BSoC) among the EVs. It consists of three components: i) fog-based power distribution architecture, ii) power scheduling model, and iii) efficient vehicle-to-fog communication protocol. The fog computing center collects information from EVs and schedules the power distribution. We use fog closer to vehicles rather than cloud in order to reduce the communication latency. The power scheduling model schedules the power allocated to each EV. In order to avoid network congestion between EVs and the fog, we let vehicles choose their own communication channel to communicate with local controllers. Finally, we evaluate our system using extensive simulation studies in Network Simulator-3, MatLab, and Simulation for Urban MObility tools, and the experimental results confirm the efficiency of our system.
引用
收藏
页码:324 / 333
页数:10
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