The Distinguished Lecture on “Neural Network-based Modeling of Power Electronic Converters for Simulation Acceleration” will take place as follows:
Date: 05 July 2025 (Saturday)
Time: 10:30 am – 11:45 am
Venue: Research Building N21, G013
The speaker is:
Prof. HUANG Zhicong, Associate Professor, South China University of Technology, Guangzhou, China
The Lecture is:
Neural Network-based Modeling of Power Electronic Converters for Simulation Acceleration
Abstract:
Nowadays, conducting detailed numerical simulations of power electronic converters is time-consuming due to the iterative solution of highly nonlinear equations with fine time steps. Conventional analytical-based models often struggle to overcome this computational burden due to the intrinsic nonlinearities and switching behavior of power electronics converters. Since a neural network is well-suited for this nonlinear modeling issue and enables replacing fine-time-step iteration with a larger-step forward propagation, it becomes a promising solution to accelerate converter simulations.
This talk will introduce a novel data-driven approach to modeling power electronics converters based on neural ordinary differential equations (ODE). The presented model eliminates the iterative solution of nonlinear equations by being data-driven and thus accelerates the simulation. This talk will cover the following key topics: 1) The dominant paradigm in converter simulation; 2) Speed bottlenecks of analytical models; 3) Neural Network-based modeling approaches for power electronics converters; 4) Modeling the converters based on Neural ODE.
Biography:
Prof. HUANG Zhicong (Senior Member, IEEE) received the B.Eng. degree in electrical engineering and automation and the M.Eng. degree in mechanical and electronic engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2010 and 2013, respectively, and the Ph.D. degree in power electronics from The Hong Kong Polytechnic University, Hong Kong, in 2018.
In 2019, Prof. Huang was a Postdoctoral Fellow under the UM Macao Talent Program with the State Key Laboratory of Analog and Mixed-Signal VLSI, Macau, China. Since 2020, he has been an Associate Professor with the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China. His research interests include wireless power transfer, resonant power conversion, and AI in power electronics.
Prof. Huang serves as an Associate Editor for IEEE Transactions on Consumer Electronics and is an active peer reviewer for various IEEE journals. He is selected in the World’s Top 2% Scientists. He received the Outstanding Reviewer Award from IEEE Transactions on Power Electronics in 2021 and 2024, the Star Reviewer Award from IEEE Journal of Selected and Emerging Topics on Power Electronics in 2023, and the Best Reviewer Award from IEEE Journal on Emerging and Selected Topics in Circuits and Systems in 2023.
For more details, kindly find the event poster, abstract and bio.
