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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
5496
World Ranking
5981
National Ranking
2003

Overview

Liyan Qu is affiliated with the University of Nebraska-Lincoln in the United States and has contributed extensively to the engineering field, particularly focusing on electrical and electronic engineering. Their research spans multiple subfields, including control and systems engineering, automotive engineering, mechanical engineering, and energy engineering and power technology.

The scientist's main areas of study include:

  • Microgrid Control and Optimization
  • Multilevel Inverters and Converters
  • Silicon Carbide Semiconductor Technologies
  • HVDC Systems and Fault Protection
  • Sensorless Control of Electric Motors
  • Advanced Battery Technologies Research
  • Electric and Hybrid Vehicle Technologies

Liyan Qu has published numerous papers in reputable venues, with a concentration in power electronics and related topics. The most frequent publication venues are:

  • IEEE Journal of Emerging and Selected Topics in Power Electronics
  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Industry Applications
  • 2022 IEEE Energy Conversion Congress and Exposition (ECCE)
  • iEnergy

Their recent published papers include:

  • "Active-Disturbance-Rejection-Based Sliding-Mode Current Control for Permanent-Magnet Synchronous Motors," 2020, IEEE Transactions on Power Electronics
  • "An Extended-State-Observer-Based Sliding-Mode Speed Control for Permanent-Magnet Synchronous Motors," 2020, IEEE Journal of Emerging and Selected Topics in Power Electronics
  • "Adaptive Model-Predictive-Control-Based Real-Time Energy Management of Fuel Cell Hybrid Electric Vehicles," 2022, IEEE Transactions on Power Electronics
  • "Wind Turbine Drivetrain Gearbox Fault Diagnosis Using Information Fusion on Vibration and Current Signals," 2021, IEEE Transactions on Instrumentation and Measurement
  • "Compressive Sensing-Based Missing-Data-Tolerant Fault Detection for Remote Condition Monitoring of Wind Turbines," 2021, IEEE Transactions on Industrial Electronics

Liyan Qu has collaborated regularly with other researchers, with a number of frequent coauthors including:

  • Wei Qiao
  • Chao Jia
  • Junwei Cui
  • Lizhi Qu
  • Yayu Peng

Their work primarily addresses challenges in microgrid and motor control, fault detection in wind turbines, and energy management systems for electric and hybrid vehicles. The interdisciplinary nature of their research combines concepts from electrical and mechanical engineering as well as advanced control strategies.

Best Publications

  • Constant Power Control of DFIG Wind Turbines With Supercapacitor Energy Storage

    Liyan Qu;Wei Qiao

  • An Adaptive Network-Based Reinforcement Learning Method for MPPT Control of PMSG Wind Energy Conversion Systems

    Chun Wei;Zhe Zhang;Wei Qiao;Liyan Qu

  • Control of IPM Synchronous Generator for Maximum Wind Power Generation Considering Magnetic Saturation

    Wei Qiao;Liyan Qu;R.G. Harley

  • Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization

    Cong Ma;Liyan Qu

  • A Space-Vector-Modulated Sensorless Direct-Torque Control for Direct-Drive PMSG Wind Turbines

    Zhe Zhang;Yue Zhao;Wei Qiao;Liyan Qu

  • An Isolated Multiport DC–DC Converter for Simultaneous Power Management of Multiple Different Renewable Energy Sources

    Jianwu Zeng;Wei Qiao;Liyan Qu;Yanping Jiao

  • An Isolated Three-Port Bidirectional DC–DC Converter for Photovoltaic Systems With Energy Storage

    Jianwu Zeng;Wei Qiao;Liyan Qu

  • Rotor-Current-Based Fault Diagnosis for DFIG Wind Turbine Drivetrain Gearboxes Using Frequency Analysis and a Deep Classifier

    Fangzhou Cheng;Jun Wang;Liyan Qu;Wei Qiao

  • Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems

    Chun Wei;Zhe Zhang;Wei Qiao;Liyan Qu

  • Active-Disturbance-Rejection-Based Sliding-Mode Current Control for Permanent-Magnet Synchronous Motors

    Lizhi Qu;Wei Qiao;Liyan Qu

  • Fault Prognosis and Remaining Useful Life Prediction of Wind Turbine Gearboxes Using Current Signal Analysis

    Fangzhou Cheng;Liyan Qu;Wei Qiao

  • Power Electronics-Enabled Self-X Multicell Batteries: A Design Toward Smart Batteries

    Taesic Kim;Wei Qiao;Liyan Qu

  • Real-Time Aging Monitoring for IGBT Modules Using Case Temperature

    Ze Wang;Bo Tian;Wei Qiao;Liyan Qu

  • An Extended-State-Observer-Based Sliding-Mode Speed Control for Permanent-Magnet Synchronous Motors

    Lizhi Qu;Wei Qiao;Liyan Qu

  • An Enhanced Linear Active Disturbance Rejection Rotor Position Sensorless Control for Permanent Magnet Synchronous Motors

    Lizhi Qu;Wei Qiao;Liyan Qu

  • Enhanced Particle Filtering for Bearing Remaining Useful Life Prediction of Wind Turbine Drivetrain Gearboxes

    Fangzhou Cheng;Liyan Qu;Wei Qiao;Liwei Hao

  • A Discrete-Time Direct Torque Control for Direct-Drive PMSG-Based Wind Energy Conversion Systems

    Zhe Zhang;Yue Zhao;Wei Qiao;Liyan Qu

  • Robust AC Optimal Power Flow for Power Networks With Wind Power Generation

    Xiaoqing Bai;Liyan Qu;Wei Qiao

  • Fault Diagnosis of Wind Turbine Gearboxes Based on DFIG Stator Current Envelope Analysis

    Fangzhou Cheng;Liyan Qu;Wei Qiao;Chun Wei

  • Series-connected self-reconfigurable multicell battery

    Taesic Kim;Wei Qiao;Liyan Qu

  • Vibration and torque ripple reduction of switched reluctance motors through current profile optimization

    Cong Ma;Liyan Qu;Rakesh Mitra;Prerit Pramod

Frequent Co-Authors

Wei Qiao
Wei Qiao University of Nebraska–Lincoln
R.G. Harley
R.G. Harley Georgia Institute of Technology

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