This letter presents a black-box modeling approach for the prediction of the spectrum of the maximum currents induced on a generic linear load in an automotive radiated immunity test. The proposed approach relies on a parametric Thévenin-based circuit equivalent built from a limited set of measured or simulated data. The frequency-domain behavior of the equivalent voltage source is provided via a metamodel by combining the support vector machine (SVM) regression with a regularized Fourier kernel with a simple adaptive algorithm. The latter allows defining the minimum number of training samples needed to accurately predict the maximum values of the currents induced on a generic linear load for different azimuth directions of the excitation field. The accuracy and the strength of the proposed approach are demonstrated for an example, by comparing the model predictions with the results of a parametric full-wave electromagnetic simulation.
|Titolo:||Black-Box Modeling of the Maximum Currents Induced in Harnesses During Automotive Radiated Immunity Tests|
|Data di pubblicazione:||2019|
|Digital Object Identifier (DOI):||10.1109/TEMC.2019.2903270|
|Appare nelle tipologie:||1.1 Articolo in rivista|