Sensitivity analysis in dynamic WPT systems based on non-intrusive stochastic methods

Paul Lagouanelle (1, 2) , Giulia Di Capua (3) , Nicola Femia (4) , Fabio Freschi (2) , Antonio Maffucci (3) , Lionel Pichon (1) , Salvatore Ventre (3)

1 GeePs - Laboratoire Génie électrique et électronique de Paris
2 DENERG - Dipartimento di Energia [Torino]
3 DIEI - Dipartimento di Ingegneria Elettrica e dell'Informazione "Maurizio Scarano" [Cassino]
4 DIEM - Department of Information Engineering, Electrical Engineering and Applied Mathematics

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. Index Terms-Inductive power transfer, mutual inductance, non-intrusive stochastic methods, sensitivity analysis.

Domaines: Sciences de l'ingénieur [physics]

Paul Lagouanelle, Giulia Di Capua, Nicola Femia, Fabio Freschi, Antonio Maffucci, et al.. Sensitivity analysis in dynamic WPT systems based on non-intrusive stochastic methods. International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, Jul 2021, Erfurt (virtual), Germany. ⟨hal-03296266⟩