Facing the thermal management challenges of Wide Bandgap (WBG) semiconductors, this study highlights the use of ARX parametric models, which provide accurate temperature predictions without requiring detailed understanding of component thickness disparities or material physical properties, relying solely on experimental measurements. These parametric models emerge as a reliable alternative to FEM simulations and conventional thermal models, significantly simplifying system identification while ensuring high result accuracy.
@article{arxiv.2411.17748,
title = {Deployment of ARX Models for Thermal Forecasting in Power Electronics Boards Using WBG Semiconductors},
author = {Mohammed Riadh Berramdane and Alexandre Battiston and Michele Bardi and Nicolas Blet and Benjamin Rémy and Matthieu Urbain},
journal= {arXiv preprint arXiv:2411.17748},
year = {2024}
}
Comments
in French language. Conf{\'e}rence des jeunes chercheurs en g{\'e}nie {\'e}lectrique, CNRS; GDR SEEDS, Jun 2024, Le croisic, France