Synergies of Intelligent Power Electronics: Unveiling and Driving Advances with Physics-Informed AI

Abstract: The convergence of Artificial Intelligence (AI) and Power Electronics is a catalytic force reshaping our energy landscape. The rapid evolution of AI technology has ignited a technological revolution within power electronics, revolutionizing each stage of the lifecycle—from modeling and design to control and maintenance—ushering in a new dawn in energy management and utilization. While remarkable performance gains have been demonstrated in numerous applications, concerns have surfaced regarding the substantial data prerequisites, computational overheads, and inefficiencies inherent in solely data-driven AI methodologies, impeding their seamless integration into industrial settings. Enter Physics-Informed AI techniques striking a delicate balance between the reliance on intricate physical principles and copious data resources. By infusing foundational physics insights into AI frameworks, these techniques promise enhanced interpretability, diminished data demands, heightened efficiency, and notably superior performance, making them a viable choice for deployment in power electronics applications where computational resources and temporal constraints are paramount.

Our forthcoming webinar will delve into the core tenets of Physics-Informed AI, unveiling innovative approaches to embed well-established physical laws within AI models. We will delve into how these methodologies elevate contemporary power electronics practices across all lifecycle stages, with a particular focus on system modeling, agile control, and intelligible reliability maintenance. By spotlighting the symbiotic interplay between physics and AI, this webinar endeavours to inspire attendees to explore novel methodologies and forge collaborative ventures that can propel the domain of power electronics to unprecedented heights. Join us for a captivating session brimming with invaluable insights, discussions, and networking prospects.