The increasing complexity and variability of power electronics systems pose significant challenges for their reliability. At the same time, the growing interest in Artificial Intelligence (AI) techniques promises to provide new tools for design optimization, monitoring and control, and system life-cycle performance improvement. They represent how the performance requirements and methodologies in power electronics are involving. This focus topic will explore the reliability of power electronics components and systems, and the application of AI in power electronics, highlighting the state-of-the-art academic research and industry innovation, and the challenges and opportunities that this exciting area of research presents. The performance requirements and methodologies in design, control, and maintaince of power electronic components and systems are evolving. The focus topic will bring together leading academic researchers and industy experts through a keynote on Circular Economy in Power Electronics, a Tutorial on Reliability and Prognositics Towards Lifetime Improvement of Automotie Power Electronics, one lecture session and one dialogue session, and an industrial forum.
Programme
Keynote Speaker:
Johann W. Kolar Power Electronic Systems Laboratory, ETH Zurich
Tutorial 14 Monday, 4 September Full Day (09:30 – 13:00 & 14:00 – 17:30)
Intelligent BMS Remus TEODORESCU – Dirk Uwe SAUER – Changfu ZOU – Xin SUI – Weihan LI – Yang LI
Location: AKKC Room: 1.08 Tunnelen
Dedicated Lecture Session:
LS7a - Topic 11: Focus Topic 6 - Reliability and Artificial Intelligence in Power Electronics
Thursday 7 September - 15:20 - 16:20 - Plenary Room
0118 – Online Threshold Voltage Monitoring at SiC Power Devices during Power Cycling Test and Possible Consequences Patrick Heimler, Mohamed Alaluss, Christian Schwabe, Xing Liu, Josef Lutz, Thomas Basler CHEMNITZ UNIVERSITY OF TECHNOLOGY
0156 – Electric Vehicle Thermal Management System Modeling with Informed Neural Networks Ekin Alp Bicer, Pascal A. Schirmer, Peter Schreivogel & Gabriele Schrag BMW GROUP & Technical University of Munich
0311 – A model-based approach for prognostics of power semiconductor modules Aleksi Vullia, Gerd Schlottig, Michał Orkisz, Marcin Firla, Enea Bianda ABB Drives, Helsinki, Finland, ABB Corporate Research, Baden-Dättwil, Switzerland & ABB Corporate Technology Center, Kraków, Poland
Industrial Forum:
Industrial Forum 6
Reliability and Artificial Intelligence in Power Electronics
Thursday 7 September 2023: 16:30 – 17:40 Location: 1.02 Havnen