The University of Southampton
University of Southampton Institutional Repository

Magnetic Material Model Optimization and Characterization Software

Wilson, Peter R., Ross, J. Neil and Brown, Andrew D. (2001) Magnetic Material Model Optimization and Characterization Software At Compumag.

Record type: Conference or Workshop Item (Paper)


The accurate characterization and modeling of magnetic materials are critical in simulating the performance analysis of electrical circuits incorporating magnetic components. Software has therefore been developed including genetic algorithm optimization techniques and metric based goal functions to enable appropriate accuracy in the final model. Multiple loop optimization has been developed to allow a wide range of operating conditions to be used in the goal function, with appropriate weighting for the ultimate application. Sensitivity and Monte Carlo analyses ensure the models are stable and tolerant of parameter variations. Comparisons of simulated BH curves with measured results demonstrate the capability of the software.

Full text not available from this repository.

More information

Published date: July 2001
Additional Information: Event Dates: June 2001 Organisation: IEEE
Venue - Dates: Compumag, 2001-06-01
Organisations: EEE


Local EPrints ID: 256618
PURE UUID: fada5fe1-c5eb-492d-8386-51272fdba749

Catalogue record

Date deposited: 17 Jun 2002
Last modified: 18 Jul 2017 09:45

Export record


Author: Peter R. Wilson
Author: J. Neil Ross
Author: Andrew D. Brown

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.