EMF Model Generation via Time-Domain Impulse Response
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Solution Overview
Problem
Current numerical methods for electromagnetic field computation in electric devices are time-consuming, especially when evaluating performance at different operating frequencies, as they require repeated solutions of electromagnetic field problems for each frequency, limiting their application in areas like wireless power transfer.
Innovation Solution
A method and system that generate an EMF model by establishing a time-domain finite data model, using a transformation routine to process excitations and obtain an approximate representation of the EMF, allowing for efficient computation of frequency-domain solutions based on time-domain solutions, reducing the need for repeated field problem solving at each frequency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional frequency sweeping methods are used to evaluate electromagnetic field performance at different operating frequencies, then accurate frequency-domain solutions are obtained, but computing time is excessively long due to repeated field problem solving at each frequency
Solution Approach 1:
The patent performs a single time-domain electromagnetic field simulation to obtain impulse response data before frequency-domain analysis. This preliminary time-domain solution contains all frequency information needed, eliminating the need for repeated frequency-domain simulations at each operating frequency while maintaining accurate frequency-response characterization
Solution Approach 2:
The patent replaces the conventional frequency-domain simulation approach with a time-domain simulation followed by Fourier transformation. This substitution uses the property that the Fourier transform of the impulse response yields the frequency response, thereby converting multiple frequency-domain problems into a single time-domain problem that is computationally more efficient
2Productivity
If time-domain finite data model with matrix factorization is used to generate EMF models, then computing time is significantly reduced through single factorization and back substitution, but the transformation routine requires accurate association between excitations and EMF
Solution Approach 1:
The patent uses the impulse response obtained from time-domain simulation as feedback to construct the frequency response through Fourier transformation. The accurate association between excitations and EMF is established by using the system's impulse response characteristics, which inherently capture the correct phase and amplitude relationships across all frequencies
Solution Approach 2:
The patent transforms the problem from frequency-domain parameter sweeps to time-domain impulse response characterization. By changing the domain of analysis from frequency to time and using Fourier transformation, the method achieves computational efficiency while preserving the accuracy of frequency-domain results through the mathematical properties of the transformation
Data Source
AI summary
A method for generating an EMF model includes establishing a time-domain finite data model associated with an electric device representing the electric device in the time-domain; utilizing the time domain finite data model, determining excitations representing an electrical characteristic of an electrical components of the electric device; and generating an EMF model by processing the excitations with a transformation routine determining an approximate representation of an EMF generated by the electric device. A system for generating the EMF model includes a modelling module establish a time-domain finite data model associated with the electric device and d representing the electric device in the time-domain. The modelling module utilizes the time domain finite data model to determine excitations representing an electrical characteristic of an electrical component of the electric device. The system includes a processing module generating an EMF model by processing the excitations with a transformation routine.