Uncertainty Quantification in the Assessment of Human Exposure near Wireless Power Transfer Systems in Automotive Applications

Paul Lagouanelle (1) , Van-Lang Krauth, (1) , Lionel Pichon (1)

1 GeePs - Laboratoire Génie électrique et électronique de Paris

This paper addresses the uncertainty quantification of physical and geometrical material parameters in the design of wireless power transfer systems and in the assessment of the level of exposure for automotive applications. In a first step, Monte Carlo simulations are used to obtain the mean and confidence interval of the shielding effectiveness for conducting and composite materials over a wide frequency range in case of an academic shielding configuration. In a second step, a non-intrusive stochastics technique (Kriging) is combined with a 3D finite element method to study a simplified but realistic configuration of a power transfer system at 85 kHz. Such a prediction of uncertainties may help in the design of shields for inductive power transfer systems which comply with health and safety standards.

Mots clés: EMC; Shielding effectiveness; Wireless power transfer; Uncertainty quantification

Domaines: Sciences de l'ingénieur [physics]; Electromagnétisme

Paul Lagouanelle, Van-Lang Krauth,, Lionel Pichon. Uncertainty Quantification in the Assessment of Human Exposure near Wireless Power Transfer Systems in Automotive Applications. AEIT AUTOMOTIVE 2019, Jul 2019, Turin, Italy. ⟨10.23919/EETA.2019.8804593⟩. ⟨hal-02333919⟩