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

Ankur Sarker, Chenxi Qiu, Haiying Shen, Andrea Gil, Joachim Taiber, Mashrur Chowdhury, Jim Martin, Mac Devine, A. J. Rindos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations


As an alternate form in the road transportationsystem, electric vehicle (EV) can help reduce the fossil-fuelconsumption. However, the usage of EVs is constrained by thelimited capacity of battery. Wireless Power Transfer (WPT) can increase the driving range of EVs by charging EVs inmotionwhen they drive through a wireless charging laneembedded in a road. The amount of power that can be suppliedby a charging lane at a time is limited. A problem here iswhen a large number of EVs pass a charging lane, how toefficiently distribute the power among different penetrationslevels of EVs? However, there has been no previous researchdevoted to tackling this challenge. To handle this challenge, wepropose a system to balance the State of Charge (called BSoC) among the EVs. It consists of three components: i) fog-basedpower distribution architecture, ii) power scheduling model, and iii) efficient vehicle-to-fog communication protocol. The fogcomputing center collects information from EVs and schedulesthe power distribution. We use fog closer to vehicles ratherthan cloud in order to reduce the communication latency. Thepower scheduling model schedules the power allocated to eachEV. In order to avoid network congestion between EVs and thefog, we let vehicles choose their own communication channelto communicate with local controllers. Finally, we evaluateour system using extensive simulation studies in NetworkSimulator-3, MatLab, and Simulation for Urban MObilitytools, and the experimental results confirm the efficiency ofour system.

Original languageEnglish (US)
Title of host publicationProceedings - 45th International Conference on Parallel Processing, ICPP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)9781509028238
StatePublished - Sep 21 2016
Externally publishedYes
Event45th International Conference on Parallel Processing, ICPP 2016 - Philadelphia, United States
Duration: Aug 16 2016Aug 19 2016

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918


Conference45th International Conference on Parallel Processing, ICPP 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Software
  • General Mathematics
  • Hardware and Architecture


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