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

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

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

RoleFunding AgencyAreaYear/
PINational Natural Science Foundation of China, Young Professional GrantReluctance Motor Control2024
PIIEEE Foundation, IEEE Myron Zucker Student-Faculty GrantAI for Motor Drives2024
PIThe Basic and Applied Basic Research Fund of Guangdong Province: Natural Science Fund, General ProjectWind Power Systems2025
Co-PIHunan Province Natural Science Fund, General ProjectRail Transit Traction System2025
PIGuangdong Province University Characteristic Innovation Project, Department of Education of Guangdong ProvinceWind Power Generator2023
PIThe Basic and Applied Basic Research Fund of Guangdong Province: Guangdong and Guangzhou Collaborative Fund Program, Youth FundPermanent Magnet Motor Control in EV2022
Co-PIThe Basic and Applied Basic Research Fund of Guangdong Province: Guangdong and Foshan Collaborative Fund Program, Cultivation ProjectPermanent Magnet Motor Control in EV2022
PIGuangzhou Municipal Education Bureau, Yangcheng ScholareVTOL Powertrain Systems2025
PIGuangzhou-HKUST(GZ) Joint Funding Scheme, Basic and Applied Basic Research ProjectReluctance Motor Control in EV2023
PIGuangzhou Basic and Applied Basic Research Project, General FundPermanent Magnet Motor Control in EV2023
PIYouth Talent Support Program of the Chinese Society for Electrical EngineeringWind Power Generator2025
PIIndustry-Sponsored FundRail Transit Traction System2023
PIIndustry-Sponsored FundPermanent Magnet Motor Control2024
PIIndustry-Sponsored FundRobotic Servo Motor Control2024
PIIndustry-Sponsored FundThermal Estimation in Motor Drives 2025
PIIndustry-Sponsored FundPower Station Robot2025
PILow Altitude Systems and Economy Research Institute (LASERi) Seed Fund of HKUST(GZ)eVTOL Powertrain Systems2024