Uncertainty Quantification of Wireless Power Transfer Systems

被引：0

作者：

Bilicz, Sandor ^{[1
]}

Gyimothy, Szabolcs ^{[1
]}

Pavo, Jozsef ^{[1
]}

Horvath, Peter ^{[1
]}

Marak, Karoly ^{[1
]}

机构：

[1] Budapest Univ Technol & Econ, Budapest, Hungary

来源：

2016 IEEE WIRELESS POWER TRANSFER CONFERENCE (WPTC) | 2016年

关键词：

Uncertainty quantification; Sobol' index; polynomial chaos; integral equation; wireless power transfer;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, the uncertainty of electric properties of wireless power transfer systems due to uncertain geometric design parameters is analyzed. An electromagnetic simulation tool, based on an integral formulation, is coupled with a stochastic method that quantitatively determines the contribution of each uncertain design variable to the output uncertainty in terms of Sobol' indices. A generalized polynomial chaos expansion -being a state-of-art surrogate modeling method-is used to reduce the computational cost involved by these stochastic simulations. The performance of the proposed method is illustrated via the analysis of a resonant wireless power transfer chain.

引用

页数：3

共 8 条

[1]

[Anonymous], RELIABILITY ENG SYST

[2] Sparse Grid Surrogate Models for Electromagnetic Problems With Many Parameters [J].