讲座主题：Artificial Intelligence for Reliable and Cognitive Power Electronics
讲座人：Yi Zhang, Assistant Professor, Hong Kong Polytechnic University; Huai Wang, Professor, Aalborg University, Denmark
讲座摘要：
Artificial intelligence (AI) is rapidly transforming the design, operation, and lifecycle management of power electronic systems. Compared with many other engineering domains, however, the adoption of AI in power electronics remains challenging due to limited high-quality data, strong physical constraints, diverse operating conditions, and stringent reliability requirements. These unique characteristics call for AI methods that are not only accurate, but also data-efficient, physics-aware, and trustworthy.
This tutorial presents a systematic overview of recent advances in AI for reliable power electronics, covering the complete workflow from converter design to health management and future intelligent systems. It begins by introducing the distinctive challenges of applying AI to power electronics and the emerging paradigm of data-efficient learning. Representative case studies are then presented, including active-learning-assisted converter design, surrogate modeling, thermal and reliability modeling, degradation assessment, condition monitoring, digital twins, and uncertainty-aware diagnosis. Building upon these developments, the tutorial discusses recent progress in self-supervised learning, foundation models, and generative AI, highlighting their potential to enable transferable knowledge across different devices, converters, and operating conditions. Finally, practical issues including model validation, physics consistency, interpretability, industrial deployment, and future research opportunities will be discussed. The tutorial aims to provide both researchers and practicing engineers with a structured understanding of how AI can be translated into reliable and deployable solutions for next-generation power electronics.
作者简介：
Yi Zhang received the B.S. and M.S. degrees from the Harbin Institute of Technology, Harbin, China, in 2014 and 2016, respectively, and the Ph.D. degree from Aalborg University, Aalborg, Denmark, in 2020, all in electrical engineering. He is currently an Assistant Professor with the Hong Kong Polytechnic University, Hong Kong, China. During 2020–2023, he was affiliated with multiple institutions as a DFF International Postdoctoral Research Fellow, including RWTH Aachen University, Aachen, Germany, and Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland. He was also a Visiting Scholar with the Georgia Institute of Technology, Atlanta, GA, USA, in 2018. His research focuses on advancing the reliability of power electronics through design, testing, packaging, and condition monitoring. Dr. Zhang was a recipient of the IEEE Power Electronics Society Ph.D. Thesis Award (2020), the 1st (2021) and 2nd (2025) Prize Paper Awards of the IEEE Transactions on Power Electronics, the 2nd Prize Paper Award of the IEEE Transactions on Industry Applications (2025). He is also an Associate Editor of IEEE Transactions on Power Electronics.
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 components and converter systems. He has initiated five industrial/PhD courses, attended by over 1,000 PhD students and industry engineers, and delivered more than 35 international conference tutorials. He 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 was elected to the Danish Academy of Technical Sciences in 2023.
