Sensitivity analysis in dynamic WPT systems based on non-intrusive stochastic methods
Konferenz: SMACD / PRIME 2021 - International Conference on SMACD and 16th Conference on PRIME
19.07.2021 - 22.07.2021 in online
Tagungsband: SMACD / PRIME 2021
Seiten: 4Sprache: EnglischTyp: PDF
Autoren:
Lagouanelle, Paul (Group of Electrical Eng., Paris, CNRS, CentraleSupelec, Universite Paris-Saclay, Gif-sur-Yvette, France & Group of Electrical Engineering-Paris, CNRS, Sorbonne Universite, Paris, France & Department of Energy, Politecnico of Torino, Turin, TO, Italy)
Di Capua, Giulia; Maffucci, Antonio; Ventre, Salvatore (Department of Electrical and Information Eng., University of Cassino and Southern Lazio, Cassino, FR, Italy)
Femia, Nicola (Department of Information and Electrical Eng. and Applied Math., University of Salerno, Fisciano, SA, Italy)
Freschi, Fabio (Department of Energy, Politecnico of Torino, Turin, TO, Italy)
Pichon, Lionel (Group of Electrical Eng., Paris, CNRS, CentraleSupelec, Universite Paris-Saclay, Gif-sur-Yvette, France & Group of Electrical Engineering-Paris, CNRS, Sorbonne Universite, Paris, France)
Inhalt:
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.