ABSTRACT & BIOGRAPHY
AI-assisted Reliability Testing, Modeling, and Condition Monitoring for Power Semiconductor Modules
Abstract:
With an increasing percentage of electricity being processed by power electronic converters, optimizing efficiency and reliability is critical for affordable, secure, and sustainable energy systems. Power semiconductor modules have been widely used for power electronic converters. Therefore, its reliability performance, both qualitative and quantitative aspects, is of critical important. Artificial Intelligence (AI) is increasingly solving optimization, regression, and classification problems within the energy sector, where deep electrification and digitalization intersect. This short course focuses on the application of AI in the reliability aspect study of semiconductor modules for power electronics, including AI-assisted reliability testing for testing time reduction, fast dynamic thermal modeling, and condition monitoring for predictive maintenance. A few case studies will be introduced to demonstrate how AI can assist in addressing the challenges in power semiconductor module reliability research.
Biography:
Huai Wang is a Professor at the Department of Energy (AAU Energy), Aalborg University, Denmark. He leads the Reliability of Power Electronic Converters (ReliaPEC) group and chairs the Mission of Digital Transformation and AI at AAU Energy. His research focuses on efficient, reliable, and cognitive power electronic converters. He has initiated five short-term industrial/PhD courses, attended by over 1000 PhD students and industry engineers in the last decade, and has delivered more than 30 international conference tutorials.
Prof. Wang received his PhD from the City University of Hong Kong in 2012 and a B.E. degree from Huazhong University of Science and Technology in 2007. He has conducted short-term research at MIT, ETH Zurich, and ABB Corporate Research Center in Switzerland. He received the Richard M. Bass Outstanding Young Power Electronics Engineer Award from IEEE Power Electronics Society in 2016 and the IEEE Transactions on Power Electronics 1st Prize paper award in 2021. He was elected to the Danish Academy of Technical Sciences in 2023.
