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 nonintrusive stochastics technique (Kriging and Polynomial chaos expansions) are combined with a 3D finite element method to meta-models in order to study a simplified but realistic configuration of a power transfer system at 85 kHz. Such an approach provides fast predictions of radiated field values taking into account the variability of the parameters and may be useful to obtain the sensitivity of the model response
Uncertainty Quantification in the Assessment of Human Exposure near Wireless Power Transfer Systems in Automotive Applications / Lagouanelle, Paul; Krauth, Van-Lang; Pichon, Lionel. - ELETTRONICO. - (2019), pp. 1-5. (Intervento presentato al convegno 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) tenutosi a Turin, Italy nel 02-04 July 2019) [10.23919/EETA.2019.8804593].
Uncertainty Quantification in the Assessment of Human Exposure near Wireless Power Transfer Systems in Automotive Applications
Lagouanelle, Paul;
2019
Abstract
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 nonintrusive stochastics technique (Kriging and Polynomial chaos expansions) are combined with a 3D finite element method to meta-models in order to study a simplified but realistic configuration of a power transfer system at 85 kHz. Such an approach provides fast predictions of radiated field values taking into account the variability of the parameters and may be useful to obtain the sensitivity of the model response| File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2974805