Project Objective
Develop and study a medium-voltage solid-state transformer architecture for electric-vehicle charging, with coordinated stage control, galvanic isolation, regulated low-voltage output and measurable power-quality performance.
The page is written to help researchers move from a project title to a structured model, a defendable simulation methodology and a clear set of result graphs without claiming fixed performance before the final parameters are selected.
System Architecture and Main Blocks
- Three-phase 13.2 kV grid source and input measurement stage
- Front-end AC–DC conversion with input-current shaping and DC-link regulation
- High-frequency isolated DC–DC conversion stage with transformer model
- Low-voltage output regulation for a 220 V charging interface
- EV charging load, protection logic and voltage/current measurement blocks
MATLAB Simulink Methodology
- Establish rated voltage, power, switching frequency and transformer turns-ratio parameters.
- Design the front-end current and DC-link voltage control loops.
- Implement isolated power transfer and output-voltage regulation across the second and third stages.
- Apply staged start-up, load-step and source-disturbance cases to assess transient behavior.
- Record grid current, DC-link voltage, transformer waveforms, output voltage, charging current and power flow.
Recommended Simulation Scenarios
- Rated EV-charging operation
- Charging-load step and reference-voltage variation
- Input-voltage disturbance or grid sag
- Converter start-up and DC-link pre-charge
- Controller-gain or switching-frequency comparison
Expected Outputs and Performance Metrics
- Input voltage/current and displacement power factor
- DC-link and isolated-stage voltage waveforms
- Regulated 220 V output and charging current
- Active/reactive power and conversion-stage power balance
- Voltage ripple, current ripple, settling time and total harmonic distortion
Results should be plotted with labelled axes, units, reference signals and event times. Baseline and proposed-control cases should use the same operating conditions for a fair comparison.
Research Novelty and Extension Options
- Bidirectional SST operation for vehicle-to-grid studies
- Model-predictive, sliding-mode or intelligent controller comparison
- SiC/GaN switching-loss and efficiency model
- Multiport PV/BESS integration at the DC link
- Hardware-in-the-loop or real-time digital-simulator validation
Applications for PhD, Engineering Projects and FYP
- PhD and master’s research in solid-state transformers and EV charging
- Power-electronics final-year projects and FYP demonstrations
- Medium-voltage fast-charging architecture studies
- Converter-control and power-quality coursework
- OEM-oriented charger topology and control evaluation
Suggested Report Structure
A strong report can include problem definition, literature review, governing equations, system block diagram, parameter table, controller design, simulation cases, result discussion, limitations, proposed novelty and future scope. Screenshots should be accompanied by technical interpretation rather than presented without explanation.