Efficient EMC Parameter Analysis for the Verification of Complex Automotive Simulation Models by the Utilization of Design of Experiments

Abstract

Virtual electromagnetic compatibility (EMC) analysis improves the validation processes in the automotive industry by mitigating risks in early development stages. Detailed knowledge about adjustable parameters to improve the compatibility can greatly simplify and optimize the EMC of an entire system. The application of the quality tool design of experiment (DoE) to EMC simulations combines the statistical analysis of influencing parameters with the reduction and optimization of the simulation efforts. DoE is a toolbox used to determine the effect and interactions of multiple input parameters on a desired target value by varying all input parameters simultaneously and effectively. The DoE application in virtual EMC validation processes reduces the simulation efforts of full factorial optimization problems and leads to a clear understanding of the most influencing parameters, parameter strengths, and parameter interactions. The application of DoE is presented for complex screens of high-voltage cables as well as for high-voltage subsystems.