The analysis of coil pairs mutual inductance is of great interest in the characterization, design and optimization of dynamic Wireless Power Transfer (WPT) systems for automotive applications. The objective of this paper is to show the use of non-intrusive stochastic methods to build accurate predictors of the mutual inductance. These methods are based on a polynomial-Chaos-Kriging metamodeling approach, which enables an accurate sensitivity analysis at system level. This approach is here applied to study the most influential spatial parameters in a dynamic WPT system, given different trajectories of the vehicle during its motion.
Sensitivity analysis in dynamic WPT systems based on non-intrusive stochastic methods
Femia N.;
2021-01-01
Abstract
The analysis of coil pairs mutual inductance is of great interest in the characterization, design and optimization of dynamic Wireless Power Transfer (WPT) systems for automotive applications. The objective of this paper is to show the use of non-intrusive stochastic methods to build accurate predictors of the mutual inductance. These methods are based on a polynomial-Chaos-Kriging metamodeling approach, which enables an accurate sensitivity analysis at system level. This approach is here applied to study the most influential spatial parameters in a dynamic WPT system, given different trajectories of the vehicle during its motion.File in questo prodotto:
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