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Research: Performance Evaluation of SiC and GaN-Based Power Converters for Ultra-Fast E...

Field: Electrical Engineering Type: Research project Bloom: Create / Evaluate Level: Final-year / PG capstone Inspired by: MIT / Stanford / Oxford research agendas

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project
Research: Performance Evaluation of SiC and GaN-Based Power Converters for Ultra-Fast Electric Vehicle Charging Applications

Research question: How do silicon carbide (SiC) and gallium nitride (GaN) wide-bandgap power converters compare in efficiency, thermal management, and grid impact for ultra-fast EV charging stations?

Background & Motivation: The rapid growth of electric vehicles (EVs) has intensified the demand for ultra-fast charging solutions, which require advanced power electronics to ensure high efficiency and reliability. Wide-bandgap semiconductors such as silicon carbide (SiC) and gallium nitride (GaN) have emerged as promising candidates for next-generation power converters due to their superior switching characteristics, higher breakdown voltages, and improved thermal performance compared to traditional silicon devices.

Research Gap: While recent literature highlights the theoretical benefits of SiC and GaN devices in power electronics, comparative studies focusing on their real-world performance, grid interaction, and system-level trade-offs in the specific context of fast EV charging infrastructure are limited.

Approach & Expected Contribution: This project will conduct a systematic literature review, develop analytical models, and perform simulation-based experiments to compare the efficiency, thermal behavior, and grid-side effects of SiC and GaN-based power converter topologies in fast-charging scenarios. The study will utilize platforms such as MATLAB/Simulink and PLECS for modeling and simulation, with experimental validation using available laboratory converters if possible. The findings will clarify device-level and system-level trade-offs, offering guidance for charger designers and grid operators.

Significance: As ultra-fast EV charging becomes essential for widespread EV adoption, optimizing power converter technology is critical for sustainable, reliable, and cost-effective charging networks. This research directly supports the advancement of smart grids and renewable integration by informing the selection of power electronic devices for future energy systems.

Milestones
1. Literature Review & Problem Definition
18 marks 21d
Conduct a comprehensive review of SiC and GaN power converters and define the specific research problem in the context of fast EV charging.
2. Research Proposal & Hypotheses
12 marks 14d
Formulate research hypotheses and develop a detailed proposal outlining objectives, scope, and expected outcomes.
3. Methodology & Experimental Design
18 marks 21d
Design the simulation and/or experimental methodology, select converter topologies, and establish performance metrics and analytical models.
4. Data Collection / Experimentation
18 marks 21d
Execute simulations and, if possible, laboratory experiments to collect quantitative data on converter performance metrics.
5. Analysis & Results
18 marks 21d
Analyze simulation and experimental data, compare device performance, and evaluate the impact of converter choice on charging and grid metrics.
6. Thesis Write-up & Defense
16 marks 21d
Synthesize findings into a formal thesis, prepare figures and tables, and defend the research before an academic panel.
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Upcoming sessions
SessionWindowEnrolled
Research: Performance Evaluation of SiC and GaN-Based Pow... 11 Jun 2026 to 10 Jun 2028 0
Skills you'll learn
ResearchElectrical EngineeringComprehensive literature review and critical synthesisFormulation of research hypotheses and identification of system gapsAnalytical modeling of power electronic systemsSimulation and experimental design (MATLAB/SimulinkPLECS)Quantitative data analysis and statistical comparisonTechnical academic writing and presentationDomain knowledge in power electronics and converter design
Tools used
MATLAB/SimulinkPLECS simulation platformLTspice or PSIM for circuit-level analysisThermal modeling tools (COMSOL Multiphysics or similar)Datasheets and application notes for SiC/GaN devices (e.g.WolfspeedInfineon)Experimental lab power converters (if available)Statistical analysis tools (Python/pandasR)
Prerequisites
Power Electronics (topologiessemiconductorsswitching devices)Electric Machines and DrivesControl SystemsFundamentals of Electrical Energy Systems
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