Wireless Power Transfer for EVs: MATLAB/Simulink Modelling of Coil Coupling

Wireless Power Transfer for EVs: MATLAB/Simulink Modelling of Coil Coupling
MatlabSourceCode Research Desk
September 2026
EV & Transportation

Wireless Power Transfer for EVs: MATLAB/Simulink Modelling of Coil Coupling is most useful as a research topic when the simulation is treated as an experiment rather than a demonstration. The central objective is resonant wireless EV charging with coupled-coil and compensation-network modelling. A strong study fixes the plant and test conditions, defines a baseline, changes one research factor at a time and reports numerical evidence alongside plots.

For doctoral and postgraduate work, the model should make every assumption visible: rated values, data sources, solver settings, controller sampling, initial conditions, boundary conditions and disturbance definitions. This makes the results easier to defend in a thesis, reproduce later and convert into a publication-oriented comparison.

Research workflow

A reproducible modelling and validation plan

  1. Define coil geometry/equivalent inductances and coupling coefficient.
  2. Select compensation topology and resonant frequency.
  3. Build inverter, resonant network, rectifier and battery/load.
  4. Sweep lateral/vertical misalignment or coupling changes.
  5. Regulate transferred power or output voltage.
  6. Compare efficiency, coil currents and device stress.
Results

What the thesis or paper should measure

Use numerical metrics that map directly to the research objective. Recommended outputs for this topic include:

  • DC-to-DC efficiency
  • transferred power
  • coupling coefficient sensitivity
  • coil current
  • output ripple
  • misalignment tolerance
PhD extension

Move beyond a basic implementation

To turn this topic into a stronger research contribution, start with one baseline and one proposed method, then extend the validation using LCC/LCC comparison, dynamic charging, ferrite/metasurface shielding. The final results section should explain why the proposed method changes the engineering behaviour, not only whether the output curve looks smoother. Include failure cases or operating limits when they reveal the boundary of the method.

  • LCC/LCC comparison
  • dynamic charging
  • ferrite/metasurface shielding
  • foreign-object detection

Need the model adapted to your research objective?

We can help with model architecture, parameterisation, controller/algorithm implementation, scenario design, plots and research-oriented result interpretation.

Topic FAQs
Frequently asked questions
Use at least one credible baseline under identical plant, solver, disturbance and measurement conditions. Change only the method being evaluated unless the research question explicitly requires otherwise.
Report both waveforms and numerical metrics that directly test the research objective, including transient, steady-state, robustness and efficiency/accuracy measures where relevant.
Add a clearly motivated control, optimisation, estimation or design contribution and validate it across parameter uncertainty, disturbances, multiple operating points and an independent reference or experimental/HIL case when possible.
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