High-Frequency Electromagnetic Noise Analysis Using Random Coupling Models
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Solution Overview
Problem
Existing electromagnetic noise analysis methods struggle with increased analysis time and reduced reliability when dealing with high-frequency electromagnetic noise due to the need for extensive mesh division and deviation between modeled and actual shapes, particularly in complex structures like vehicle bodies.
Innovation Solution
An electromagnetic noise analysis device utilizing a random coupling model (RCM) theory for statistical estimation of electromagnetic field characteristics, reducing the need for precise 3D analysis by modeling electromagnetic fields as probability distributions, and determining malfunction risks based on noise propagation amounts and device vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If general electromagnetic field analysis with three-dimensional mesh division is used, then analysis accuracy is improved, but analysis time is lengthened significantly at high frequencies
Solution Approach 1:
The patent segments the electromagnetic field analysis into two parts: (1) statistical estimation of propagation characteristics using simplified models, and (2) deterministic calculation of noise propagation amounts based on the statistical results. This segmentation allows most of the analysis to be performed quickly using statistical methods while maintaining accuracy where needed.
Solution Approach 2:
The patent changes the parameter representation from deterministic 3D mesh values to statistical probability distributions. By representing electromagnetic field characteristics as statistical parameters (mean, variance) rather than detailed spatial distributions, the analysis complexity is reduced while preserving essential information for high-frequency analysis.
2Reliability
If three-dimensional housing model is created for electromagnetic field analysis, then analysis reliability is improved, but modeling complexity and deviation from actual shape increase
Solution Approach 1:
The patent creates a simplified statistical copy of the electromagnetic field propagation characteristics rather than a detailed geometric copy of the housing. The statistical propagation characteristic data captures the essential noise transmission behavior without requiring precise 3D geometric representation, reducing modeling complexity while maintaining analysis reliability.
3Measurement precision
If mesh amount is increased for high frequency analysis, then analysis accuracy is improved, but computational load and analysis time increase
Solution Approach 1:
The patent replaces the mechanical mesh-based electromagnetic field calculation system with a statistical estimation system. Instead of mechanically dividing the space into fine meshes and calculating field values at each point, the system uses statistical propagation models that naturally handle high-frequency effects without requiring mesh refinement, dramatically reducing computational load.
Data Source
AI summary
An object of the invention is to provide an electromagnetic noise analysis device capable of analyzing a propagation path in a short time even for electromagnetic noise in a high frequency band and securing a certain level of reliability of an analysis result. For this purpose, an electromagnetic noise analysis device according to the invention includes: a propagation characteristic estimation unit configured to statistically estimate an electromagnetic field characteristic in a housing based on information about a housing structure and an electric wire path to output propagation characteristic probability distribution data; a propagation amount calculation unit configured to statistically estimate a noise propagation amount propagated from a noise source to an affected device based on a frequency characteristic of noise generated by the noise source and the propagation characteristic probability distribution data to output data of noise probability distribution on the affected device; and a malfunction risk determination unit configured to determine a malfunction risk of the affected device based on the data of the noise probability distribution on the affected device.