upb-lea/mag-net-hub
MagNet Toolkit - Certified Models of the MagNet Challenge
This toolkit provides pre-trained models for estimating power loss in magnetic materials used in power converters. You input the material type, desired operating frequency, temperature, and a magnetic flux density (B) waveform, and it outputs the estimated power loss and the corresponding magnetic field strength (H) waveform. It's designed for electrical engineers and power electronics designers who need to accurately predict core losses during the design phase.
No commits in the last 6 months. Available on PyPI.
Use this if you are an electrical engineer designing power converters and need to quickly estimate power loss and H-field for specific magnetic materials under various operating conditions.
Not ideal if you need to simulate conditions with varying DC-Bias or require models for materials beyond the listed ferrite types and fixed sizes.
Stars
18
Forks
2
Language
Python
License
MIT
Category
Last pushed
Aug 27, 2024
Commits (30d)
0
Dependencies
6
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