Current research projects

Intelligent, Modular and Adaptive Power Conversion Technology for Battery Energy Storage Systems

Developing of Intelligent Battery Modules (IBMs) to replace traditional battery packs and converters, forming a DC/AC multilevel converter to optimize energy delivery and system integration across various battery chemistries.

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Grid Active Node for DC Electrical Systems (GRAND)

Development of innovative multi-port power conversion systems for DC microgrids that enable seamless integration of Distributed Energy Resources and Storage into the Internet of Energy: focus on advanced control, optimized design, and remote operability.

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Isolated DC/DC LLC resonant GaN converter for motor sport applications

The study investigates an ISOP LLC resonant converter using GaN transistors for high-efficiency, high–power-density dc-dc conversion. It also analyzes module mismatches and employs a genetic algorithm to optimize losses, transformer volume, and efficiency

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Advanced Model Predictive Control for Electrical Drives and Power Electronics Converters

Advanced Model Predictive Control for Electrical Drives and Power Electronics Converters

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Fault Detection and Location in Power Converters with a High Number of Switches using Deep Learning

This research topic explores novel approaches in fault diagnostic techniques using DL for power converters with a large number of switches, like multilevel converters, to develop efficient and effective approaches for improved overall system reliability.

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