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EV & Battery Technology

Wireless Power Transfer for Multi-Vehicle EV Charging – MATLAB Simulink

This MATLAB Simulink project models wireless power transfer for charging multiple electric vehicles through a shared transmitter and multiple receiver channels. It supports PhD research, engineering projects and final-year project studies on power sharing, coupling variation, charging efficiency and coordinated control.

MATLAB SimulinkWireless Power TransferMulti-Vehicle EV ChargingMulti-Receiver WPTResonant CouplingEV / Battery
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Disclaimer: Project information, outputs, diagrams, datasets, software blocks and implementation details may vary according to the final research paper, university requirements, software version, parameter selection and customization scope. The content is provided for research guidance, technical discussion and academic learning support.

Project Objective

The objective is to develop and study a multi-vehicle wireless power transfer charging system in MATLAB Simulink. A common high-frequency transmitter supplies two or more EV receiver channels, while the model evaluates power allocation, resonant compensation, battery charging current, efficiency and system stability as vehicles connect, disconnect or change position.

System Architecture

  • DC source, rectifier or grid-side supply and high-frequency inverter.
  • Primary compensation network and transmitter coil or charging track.
  • Multiple receiver coils with individual mutual-inductance and coupling parameters.
  • Secondary compensation, rectifier and DC–DC charging stage for each EV battery.
  • Coordinated control for total power regulation and fair or priority-based power sharing.

MATLAB Simulink Methodology

  1. Define transmitter frequency, coil inductances, compensation capacitors and rated charging power.
  2. Model each transmitter–receiver mutual inductance and include cross-coupling where required.
  3. Connect individual rectifier, converter and battery models for every EV charging channel.
  4. Implement voltage, current or power control for the common transmitter and receiver converters.
  5. Test one-vehicle, two-vehicle and multi-vehicle conditions, including connection/disconnection, load imbalance, air-gap and misalignment changes.
  6. Compare transferred power, efficiency, current stress, battery charging response and power-sharing accuracy.

Expected Simulation Outputs

  • Transmitter voltage, current, resonant frequency and inverter switching waveforms.
  • Receiver-coil voltage/current and transferred power for each connected EV.
  • Battery voltage, charging current, state of charge and charging-power profiles.
  • Total input power, per-vehicle output power, loss and end-to-end efficiency.
  • Power-sharing response when vehicles connect, disconnect or demand different charging power.
  • Performance under coupling, air-gap, coil misalignment and load variations.

Research Applications

  • Multi-bay wireless EV charging stations and smart parking systems.
  • Fleet, bus, autonomous vehicle and robotic charging infrastructure.
  • Static and quasi-dynamic inductive charging research.
  • Coil compensation, converter-control and energy-management studies.
  • PhD thesis, journal extension, M.Tech/MS dissertation and final-year project development.

Trust & Academic Integrity

PhD Research Labs presents simulation support as a research-assistance workflow. The content is intended for learning, implementation guidance, result explanation and model customization. Researchers should validate assumptions, cite appropriate literature and follow their university's academic-integrity rules.

Research Topics Covered

Wireless Power TransferMulti-Vehicle EV ChargingMulti-Receiver WPTResonant Inductive CouplingPower Sharing ControlMisalignment AnalysisCharging EfficiencyMATLAB SimulinkSimscape ElectricalPhD ResearchEngineering FYP

Global Research Relevance

This research page is prepared for engineering PhD scholars and university researchers reviewing simulation methodology, expected outputs, model behavior and customization possibilities across India, USA, UK, Singapore, Australia, Germany and global research markets.

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