Sensitivity analysis for automotive EMC measurements using quasistatic Darwin model
ISSN: 0332-1649
Article publication date: 16 December 2021
Issue publication date: 10 May 2022
Abstract
Purpose
The purpose of this paper is performing a global sensitivity analysis for automotive electromagnetic compatibility (EMC) measurements related to the CISPR 25 setup in order to examine the effect of the setup uncertainties on the resonance phenomenon.
Design/methodology/approach
An integral equation formulation is combined with Darwin model and special Green’s functions to model the configuration. The method of Sobol’ indices is used to gain sensitivity factors enhanced with a polynomial chaos metamodel.
Findings
The proposed model resulted in by orders of magnitude lower number of degrees of freedom and runtime compared to popular numerical methods, e.g. finite element method. The result of the sensitivity study is in good agreement with the underlying physical phenomena and improves the understanding of the resonances.
Practical implications
The fast model supplemented by the sensitivity factors can be used in EMC design and optimization.
Originality/value
The proposed method is original in the sense of combining a polynomial chaos metamodel with a low-cost integral equation model to reduce the computational demand for the sensitivity study.
Keywords
Acknowledgements
The research reported in this paper and carried out at the BME has been partially supported by the NRDI Fund based on the charter of bolster issued by the NRDI Office under the auspices of the Ministry for Innovation and Technology and by the professional support of the Doctoral Student Scholarship Program of the Co-operative Doctoral Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund. Further support was provided by the Hungarian Scientific Research Fund under Grant K-135307.
Citation
Bingler, A., Bilicz, S. and Csörnyei, M. (2022), "Sensitivity analysis for automotive EMC measurements using quasistatic Darwin model", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 41 No. 3, pp. 781-793. https://doi.org/10.1108/COMPEL-02-2021-0054
Publisher
:Emerald Publishing Limited
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