The primary goals of this lab are to develop high-power-density and high-efficiency power conversion systems. The lab focuses on:

1) Grid-Connected Inverters: Grid-Following inverters and Grid-Forming inverters.

2) HVDC & MVDC Power Conversion Systems: Solid-State Transformers (SST) and Modular Multilevel Converters (MMC).

3) Electrical Charging Infrastructure: EV charging stations and EV On-Board Chargers (OBC).

4) Power Circuit Design: Power converter topology and controller designs for high efficiency and high power density.

5) Magnetic Component Design: Optimal design of inductors & transformers applied in converters & inverters.

This lab focuses on advanced Wireless Power Transfer (WPT) systems for a variety of applications, including:

1) IoT and Sensors: Supporting simultaneous charging services for multiple devices.

2) Mobile Devices: Developing high efficiency coil design and magnetic in-band communications

3) Home Appliances: Enabling long-distance, high-efficiency operation.

4) Electric Vehicles (EVs): Ensuring large misalignment tolerance, FOD(MOD/LOD), and low EMF/EMI emissions with high efficient operation.

In particular, this lab explores not only Inductive Power Transfer (IPT) but also RF-based WPT for long-distance applications.

  Machine learning is now widely applied across various fields, and this lab is focused on integrating machine learning algorithms with power electronics to achieve innovative solutions in:

1) Optimal Design of Magnetic Components: Designing for high efficiency and high power density, and Developing planar PCB-based transformers and inductors.

2) Parameter Optimization: Enhancing efficiency in power converters, Predicting reliability and enabling health monitoring for power electronic systems.

3) Magnetic Field Focusing (MFC): Applications in Wireless Power Transfer (WPT) and cancer treatment, ensuring human safety.