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In this study, a permanent magnet (PM) demagnetization tool, based on a nonlinear exponential model, has been developed. The model considers the thermal state of the PM and follows the curve’s rounding around the knee point to have a good accuracy. The tool is efficient in terms of computing time and precision. A coupling with the finite elements code code_ Carmel is done and an application on an electric machine is presented.

W. Bekir et al., "Loss Model Impact on Multi-Physical Coupling Designed for Sizing Optimization of Electrical Machines," 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), Monte-Carlo, Monaco, 2020, pp. 1-6, doi: 10.1109/EVER48776.2020.9242987. Abstract: This article analyzes and highlights the impact of an iron loss model on temperature estimation within a multi-physical model of a radial-flux permanent-magnet (PM) synchronous machine (PMSM) for traction application. Three iron loss models have been compared in terms of computing time and accuracy within the machine torque-speed plane. This study underlines the iron loss calculation impact on the temperature estimation in the PMSM in relation with the required performances. keywords: {finite element analysis;magnetic flux;permanent magnet machines;synchronous machines;torque;traction;permanent-magnet synchronous machine;iron loss model;machine torque-speed plane;iron loss calculation impact;temperature estimation;loss model impact;multiphysical coupling;electrical machines;multiphysical model;Couplings;Analytical models;Biological system modeling;Computational modeling;Estimation;Iron;Optimization;Electrical machines;electric traction vehicle;iron losses;multi-physical model}, URL: https://ieeexplore-ieee-org.ressources-electroniques.univ-lille.fr/stamp/stamp.jsp?tp=&arnumber=9242987&isnumber=9242920