Research Overview
The EPES Lab is oriented towards transportation electrification and new energy systems, which facilitates a more sustainable energy structure in communities. We are dedicated to promoting advanced research on Electric Vehicles, eVTOL Aircraft, and Renewable Energy Systems. Major research directions focus on Electrical Machines and Drives, including:
(1) Electrical Motor Control Techniques
(2) Battery Management Systems (BMS) in Electrical Motor Drives
(3) Electrical Motor/Generator with Grid-Connection Systems

Research and Platforms

Permanent Magnet Synchronous Machines and Drives
Permanent magnet synchronous motors are dominant in electric propulsion and wind energy systems due to their high efficiency and power density. Our research works for high-power motor drive applications, such as electric vehicles and eVTOL aircraft.
- Optimal control at full-speed range: from zero-speed, high-speed to six-step operation
- Motor parameter identification techniques: offline identification and online estimation
- Advanced modulation and power converters for high-power applications
- Sensor virtualization techniques: position sensors, current sensors & temperature sensors
- Robotic servo motor control: precise control techniques for high-bandwidth robotics


Rare-Earth-Free Electrical Machines and Drives
Rare-earth materials are used in high-efficiency electrical motors for transportation and renewable energy systems. However, as non-renewable resources, rare-earth materials cause environmental pollution and higher costs, not in line with the law of sustainable technology. Our research focuses on rare-earth-free electrical machine systems to overcome the above issues, with following directions for high efficiency, low torque ripples, and wide speed operation:
- Switched reluctance motors (SRM) & control techniques
- Synchronous reluctance motors & control techniques
- Power converter topology for efficient reluctance drives


Battery Management Systems in Electrical Machines Systems
Batteries are essential for transportation electrification and renewable energy systems as the energy source and energy buffer. The battery management system (BMS) works as a central control unit to guarantee safe, accurate, and efficient battery operation in vehicles, aircraft, and energy storage stations. The EPES Lab focuses the research techniques based on Control Theory and Power Electronics to design an advanced BMS:
- Battery state monitoring algorithms for State of X (charge, health, energy, power, etc)
- Battery equalizer: power electronics topology and balancing control
- Battery-machine integrated modeling and control


High-Power Full-Electric Powertrain Systems for EVs and eVTOL Aircraft
EPES Lab conducts research for high-power electric vehicles (EVs) and electric vertical takeoff and landing (eVTOL) aircraft. Research focuses on system integration, modeling, and control for high-power battery management systems, electrical machines and drives, and power converters. The experimental setup has the following components to offer full-electric powertrain testing:
- Peak 100 kW electrical machine dyno testing with 18000 rpm as the maximum speed
- Bi-direction battery simulators and testers
- High-power converter tests in both motoring and generating conditions
- Precise measurement of system efficiency, operating states, and energy conversion


Electrical Machines in Wind Power Systems
With the development of renewable energy technology, control of new power systems is important for improving power transmission capability. We utilize the most advanced Hardware-in-the-Loop simulation technology to conduct research on modeling, analysis, and control techniques for wind power systems. Specific research areas are:
- Large-scale wind power generator farm: structure, stability, and control
- Hardware-in-loop techniques
- Grid-connected control: grid-forming and grid-following control

Research Methodology
As a research lab, we mainly study on following research methodology for solving scientific problems:
(1) Algorithms: state observers (sliding-mode, H-infinite, ADRC, Kalman filters, etc), optimization, artificial intelligence (ML & DL), model prediction
(2) Modeling: small/large-signal approximation, linear & nonlinear stability, multi-domain analyses for models
(3) Hardware: power electronics topology derivation, multi-physics field analyses for machines

Research Fund
Role | Funding Agency | Area | Year/ |
---|---|---|---|
PI | National Natural Science Foundation of China, Young Professional Grant | Reluctance Motor Control | 2024 |
PI | IEEE Foundation, IEEE Myron Zucker Student-Faculty Grant | AI for Motor Drives | 2024 |
PI | The Basic and Applied Basic Research Fund of Guangdong Province: Natural Science Fund, General Project | Wind Power Systems | 2025 |
Co-PI | Hunan Province Natural Science Fund, General Project | Rail Transit Traction System | 2025 |
PI | Guangdong Province University Characteristic Innovation Project, Department of Education of Guangdong Province | Wind Power Generator | 2023 |
PI | The Basic and Applied Basic Research Fund of Guangdong Province: Guangdong and Guangzhou Collaborative Fund Program, Youth Fund | Permanent Magnet Motor Control in EV | 2022 |
Co-PI | The Basic and Applied Basic Research Fund of Guangdong Province: Guangdong and Foshan Collaborative Fund Program, Cultivation Project | Permanent Magnet Motor Control in EV | 2022 |
PI | Guangzhou Municipal Education Bureau, Yangcheng Scholar | eVTOL Powertrain Systems | 2025 |
PI | Guangzhou-HKUST(GZ) Joint Funding Scheme, Basic and Applied Basic Research Project | Reluctance Motor Control in EV | 2023 |
PI | Guangzhou Basic and Applied Basic Research Project, General Fund | Permanent Magnet Motor Control in EV | 2023 |
PI | Youth Talent Support Program of the Chinese Society for Electrical Engineering | Wind Power Generator | 2025 |
PI | Industry-Sponsored Fund | Rail Transit Traction System | 2023 |
PI | Industry-Sponsored Fund | Permanent Magnet Motor Control | 2024 |
PI | Industry-Sponsored Fund | Robotic Servo Motor Control | 2024 |
PI | Industry-Sponsored Fund | Thermal Estimation in Motor Drives | 2025 |
PI | Industry-Sponsored Fund | Power Station Robot | 2025 |
PI | Low Altitude Systems and Economy Research Institute (LASERi) Seed Fund of HKUST(GZ) | eVTOL Powertrain Systems | 2024 |