We offer 4-year PhD position in Fault-Tolerant DC-DC Converters and Fault Detection Methods.
Supervisors: Research Professor Dmitri Vinnikov and Dr. Andrii Chub
The growing market for residential renewable energy generation and storage systems facilitates the development of new technologies of photovoltaic modules, fuel cells, batteries, micro wind turbines, etc. Operating voltage and power rating of these emerging residential energy sources vary in a wide range. As a result, each type requires a different interface converter due to limitations of conventional power electronics. This project aims to introduce a new generation of dc-dc converters for interfacing these low-voltage energy sources with voltage levels compatible with the distribution grid. The novel dc-dc converter topologies will provide universal applicability enabled by wide input voltage regulation range, while their fault tolerance will ensure long system lifetime. This new technology will decrease the price of residential power systems due to lower capital costs resulting from mass production, lower staff training costs for installers, and reduced supply chain expenses.
Ph.D. student will work on the synthesis of novel topologies of galvanically isolated dc-dc converters and development of corresponding hardware and software methods of fault detection and identification. The project result will be the technology framework comprising topologies, control methods, and fault detection circuits and algorithms optimized for industrial adoptions.
- Synthesis of galvanically isolated dc-dc converter topologies with a wide input voltage range
- Development and implementation of control and topology modification methods enabling fault tolerance with minimum redundancy
- Development and implementation of fault detection and identification algorithms and circuits
- Design of control systems based on small and large signal models
- Feasibility study of efficiency optimization from the use of new semiconductor and magnetic materials
- Experimental verification of developed fault-tolerant topologies and control algorithms
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