Next Article in Journal
Telecommunication Platforms for Transmitting Sensor Data over Communication Networks—State of the Art and Challenges
Previous Article in Journal
A Robust Gradient Based Method for Building Extraction from LiDAR and Photogrammetric Imagery
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(7), 1100; doi:10.3390/s16071100

Stochastic Analysis of the Efficiency of a Wireless Power Transfer System Subject to Antenna Variability and Position Uncertainties

IBCN/Electromagnetics Group, Department of Information Technology, Ghent University/iMinds, Technologiepark Zwijnaarde 15, Ghent B-9052, Belgium
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 13 May 2016 / Revised: 8 July 2016 / Accepted: 13 July 2016 / Published: 19 July 2016
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [1037 KB, uploaded 19 July 2016]   |  

Abstract

The efficiency of a wireless power transfer (WPT) system in the radiative near-field is inevitably affected by the variability in the design parameters of the deployed antennas and by uncertainties in their mutual position. Therefore, we propose a stochastic analysis that combines the generalized polynomial chaos (gPC) theory with an efficient model for the interaction between devices in the radiative near-field. This framework enables us to investigate the impact of random effects on the power transfer efficiency (PTE) of a WPT system. More specifically, the WPT system under study consists of a transmitting horn antenna and a receiving textile antenna operating in the Industrial, Scientific and Medical (ISM) band at 2.45 GHz. First, we model the impact of the textile antenna’s variability on the WPT system. Next, we include the position uncertainties of the antennas in the analysis in order to quantify the overall variations in the PTE. The analysis is carried out by means of polynomial-chaos-based macromodels, whereas a Monte Carlo simulation validates the complete technique. It is shown that the proposed approach is very accurate, more flexible and more efficient than a straightforward Monte Carlo analysis, with demonstrated speedup factors up to 2500. View Full-Text
Keywords: wireless power transfer; power transfer efficiency; textile antenna; polynomial chaos; stochastic collocation; stochastic testing; uncertainty quantification; radiative near-field wireless power transfer; power transfer efficiency; textile antenna; polynomial chaos; stochastic collocation; stochastic testing; uncertainty quantification; radiative near-field
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Rossi, M.; Stockman, G.-J.; Rogier, H.; Vande Ginste, D. Stochastic Analysis of the Efficiency of a Wireless Power Transfer System Subject to Antenna Variability and Position Uncertainties. Sensors 2016, 16, 1100.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top