EV charger - LLC Resonant Converter - MATLAB Simulink -: Research Methodology and Simulation Guide

Topic scope and research objective

A suitable research question is: how can the EV Charging & Grid Integration approach represented by “EV charger - LLC Resonant Converter - MATLAB Simulink -” be evaluated using MATLAB Simulink so that power-transfer tracking and DC voltage regulation are improved or maintained without creating unacceptable degradation in RMS transformer / tank current?

This article approaches EV charger - LLC Resonant Converter - MATLAB Simulink - from a methodology perspective so the page answers a different research need rather than repeating the main project description.

Technical focus

• EV
• charger
• LLC
• Resonant

Model architecture and implementation plan

The workflow should remain modular enough to support baseline comparison, sensitivity testing and parameter revision.

• Input source / PV or DC bus
• Primary bridge / switching stage
• High-frequency transformer and leakage / resonant network
• Secondary bridge / rectifying stage
• SPS or resonant control
• Voltage, current, power and loss measurement

Recommended methodology

1. Define voltage ratio, power rating and transformer ratio. Relate the step to the EV Charging & Grid Integration objective and record the relevant parameters.
2. Select leakage / resonant parameters and switching frequency. Relate the step to the EV Charging & Grid Integration objective and record the relevant parameters.
3. Implement SPS or resonant control for the selected topology. Relate the step to the EV Charging & Grid Integration objective and record the relevant parameters.
4. Run nominal, wide-voltage and load-change cases. Relate the step to the EV Charging & Grid Integration objective and record the relevant parameters.
5. Compare power transfer, ZVS range, RMS current, device stress and efficiency. Relate the step to the EV Charging & Grid Integration objective and record the relevant parameters.

Study cases for comparative research

• nominal rated-power operation
• input-voltage / conversion-ratio sweep
• light-load and full-load cases
• phase-shift / switching-frequency sweep
• device / parasitic or soft-switching robustness case

Outputs and quantitative validation

The recommended validation evidence includes power-transfer tracking, DC voltage regulation, RMS transformer / tank current, soft-switching range. Each claimed improvement should be tied to a defined metric and a reproducible scenario so the conclusion can be independently checked. The final discussion should also explain sensitivity to light-load and full-load cases, phase-shift / switching-frequency sweep.

• Primary / secondary bridge voltages
• Transformer / resonant current
• Transferred power and phase shift
• DC output / DC-link regulation
• Efficiency, switching stress and soft-switching evidence

PhD and journal research extensions

• wide-range soft-switching optimization across voltage and load
• multi-objective magnetics / resonant-tank design for efficiency and power density
• advanced phase-shift or predictive control for transient performance
• SiC / GaN loss and thermal co-optimization with bidirectional operation

For PhD researchers and postgraduate scholars working internationally, this topic can be adapted to a university proposal, published reference paper or independently defined research gap. The model scope can be aligned with the required software version, parameter set, dataset, disturbance profile, geometry, controller structure and reporting format while preserving reproducibility and clear technical attribution.

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