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Article

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
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Academic Editor: Leonhard M. Reindl
Sensors 2016, 16(7), 1100; https://doi.org/10.3390/s16071100
Received: 13 May 2016 / Revised: 8 July 2016 / Accepted: 13 July 2016 / Published: 19 July 2016
(This article belongs to the Section Sensor Networks)
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
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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. https://doi.org/10.3390/s16071100

AMA 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(7):1100. https://doi.org/10.3390/s16071100

Chicago/Turabian Style

Rossi, Marco, Gert-Jan Stockman, Hendrik Rogier, and Dries Vande Ginste. 2016. "Stochastic Analysis of the Efficiency of a Wireless Power Transfer System Subject to Antenna Variability and Position Uncertainties" Sensors 16, no. 7: 1100. https://doi.org/10.3390/s16071100

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