May 2, 2013
EE Conference Room
Speaker: Prof. Ali Davoudi , Assistant Professor (University of Texas, Arlington)
The first part of this talk introduces computational prototyping frameworks to automatically extract computer-generated models from detailed physical prototypes, or analytically intractable models, while accelerating simulation and model execution. Parametric average-value modeling frameworks are discussed that automatically generates time-invariant models of switching converters for dynamic characterization purposes. Order reduction tools are examined for first-principle physics models of magnetic system, thus preserving both model accuracy and computational efficiency. Flexible simulation resolution environments are developed as an alternative method to analyze switching systems by providing an appropriate amount of detail based on the time scale and phenomenon being considered. These frameworks form the computational core for virtual prototyping of future energy processing units and provide a multitude of research venues. The second part of this talk focuses on recent research activities and directions in accelerated simulation of high-fidelity models, multiport power processing, and distributed cooperative control for power electronics systems.
Ali Davoudi received his PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2010. He is currently an assistant professor in Electrical Engineering department of the University of Texas at Arlington. He serves on editorial boards of IEEE Transactions on Vehicular Technology and Industry Applications. He is also a guest associate editor for IEEE Transactions on Power Electronics, Special issue on Transportation Electrification and Vehicle Systems, as well as IEEE Transactions on Smart Grids, Special issue on Smart DC Distribution Systems. His research interests are prototype development, modeling, and distributed control for renewable energy systems and transportation electrification.