Rossi Marco, Stockman Gert-Jan, Rogier Hendrik, Vande Ginste Dries
IBCN/Electromagnetics Group, Department of Information Technology, Ghent University/iMinds, Technologiepark Zwijnaarde 15, Ghent B-9052, Belgium.
Sensors (Basel). 2016 Jul 19;16(7):1100. doi: 10.3390/s16071100.
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.
无线功率传输（WPT）系统在辐射近场中的效率不可避免地受到所部署天线设计参数变化以及它们相互位置不确定性的影响。因此，我们提出一种将广义多项式混沌（gPC）理论与辐射近场中设备间相互作用的高效模型相结合的随机分析方法。该框架使我们能够研究随机效应对WPT系统功率传输效率（PTE）的影响。更具体地说，所研究的WPT系统由一个发射喇叭天线和一个在2.45 GHz工业、科学和医疗（ISM）频段工作的接收纺织天线组成。首先，我们对纺织天线的变化对WPT系统的影响进行建模。接下来，我们在分析中纳入天线的位置不确定性，以量化PTE的总体变化。分析通过基于多项式混沌的宏模型进行，而蒙特卡罗模拟验证了整个技术。结果表明，所提出的方法非常准确，比直接的蒙特卡罗分析更灵活、更高效，加速因子高达2500。
