Guodong Feng - IEEE Xplore Author Profile

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Author details

Guodong Feng

Also published under: G. Feng

Publications

103

Citations

2,358

Publications by Year

20112025

Co-Authors:

Firoz AhmedAiswarya BalamuraliZhen BanDebmalya BanerjeeHimavarsha Dhulipati

Show All Co-Authors (84)

Guodong Feng

Also published under: G. Feng

Affiliation

School of Intelligent Systems Engineering

Sun Yat-sen University

Shenzhen, China

Publication Topics

Flux Linkage,
Permanent Magnet Synchronous Motor,
Permanent Magnet,
Saturation Magnetization,
Parameter Estimates,
Permanent Magnet Synchronous Machines,
Current Angle,
Machine Model,
Stator Current,
Least-squares,
Model Estimates,
Motor Speed

Biography

Guodong Feng (Senior Member, IEEE) received the B.S. and Ph.D. degrees in engineering from Sun Yat-sen University, Guangzhou, China, in 2010 and 2015, respectively. From 2015 to 2019, he was a Postdoctoral Fellow with the University of Windsor, Windsor, ON, Canada. He is currently an Associate Professor with the School of Intelligent Systems Engineering, Sun Yat-sen University. His research interests include advanced signal processing, optimization, and electrical machines and drives. He is an Associate Editor for IEEE Transactions on Industrial Electronics.(Based on document published on 16 May 2024).

Publications

103

Citations

2,358

Publications by Year

20112025

Co-Authors:

Firoz Ahmed
Aiswarya Balamurali
Zhen Ban
Debmalya Banerjee
Himavarsha Dhulipati

Show All Co-Authors (84)

Author's Published Works

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Showing 1-25 of 103 results

Journals (61)

Conferences (36)

Early Access Articles (4)

Magazines (2)

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Guodong Feng(100)
Narayan C. Kar(58)
Chunyan Lai(58)
Beichen Ding(17)
Wenlong Li(15)
Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada(31)
School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China(23)
Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada(18)
School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China(14)
Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada(10)
IEEE Transactions on Power Electronics(17)
IEEE Transactions on Transportation Electrification(12)
IEEE Transactions on Energy Conversion(8)
IEEE Transactions on Industrial Electronics(7)
IEEE Transactions on Industry Applications(6)
IEEE(100)
CES(3)
Beijing, China(6)
Fukuoka, Japan(3)
Lausanne, Switzerland(3)
Alexandroupoli, Greece(2)
Jeju, Korea (South)(2)
Permanent Magnet Synchronous Motor(73)
Flux Linkage(58)
Permanent Magnet Synchronous Machines(53)
Permanent Magnet(49)
Stator Current(47)

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Maximum Torque Per Ampere (MTPA) Control for Interior PMSM Using Position-offset Injection Considering Inverter Distortion and Saturation

Zhe Tong;Fengyu Wang;Yuting Lu;Beichen Ding;Guodong Feng

IEEE Transactions on Power Electronics

Year: 2025 | Early Access Article |

For the interior permanent magnet synchronous machine (IPMSM), online maximum torque per ampere (MTPA) control can be affected by the nonlinearities, such as magnetic saturation, inverter distortion and temperature rise. This paper proposes a fast and accurate MTPA angle tracking method using the small dc position offset injection. Through position offset injection, the objective function model of...Show More

Maximum Torque Per Ampere (MTPA) Control for Interior PMSM Using Position-offset Injection Considering Inverter Distortion and Saturation

Zhe Tong;Fengyu Wang;Yuting Lu;Beichen Ding;Guodong Feng

IEEE Transactions on Power Electronics

Year: 2025 | Early Access Article |

Bayesian Deep Learning for Fault Diagnosis of Induction Motors With Reduced Data Reliance and Improved Interpretability

Zhanbiao Lai;Weiwen Peng;Guodong Feng;Meilin Pan

IEEE Transactions on Energy Conversion

Year: 2025 | Early Access Article |

Fault diagnosis holds significant practical importance for high performance and reliable control of induction motors. However, existing deep learning-based fault diagnosis methods demand a large amount of training data and lack interpretability, which can limit their reliability and practical usability in real-world applications. To address these challenges, this paper proposes a novel fault diagn...Show More

Bayesian Deep Learning for Fault Diagnosis of Induction Motors With Reduced Data Reliance and Improved Interpretability

Zhanbiao Lai;Weiwen Peng;Guodong Feng;Meilin Pan

IEEE Transactions on Energy Conversion

Year: 2025 | Early Access Article |

MTPA Cooperative Control Strategy of Double Stator DC-Bias Hybrid Excitation Machine Considering Inductance Nonlinearity

Han Yi;Yiming Fan;Yuting Lu;Guodong Feng;Liangliang Wei

IEEE Transactions on Power Electronics

Year: 2025 | Volume: 40, Issue: 5 | Journal Article |

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This article proposes a maximum torque per ampere (MTPA) cooperative control strategy for a double stator dc-bias hybrid excitation machine (DS-HEM) considering inductance nonlinearity. The proposed DS-HEM uses integrated windings and double stators to improve the torque density, efficiency, and flux regulation capability. Moreover, the proposed MTPA cooperative control strategy considering induct...Show More

MTPA Cooperative Control Strategy of Double Stator DC-Bias Hybrid Excitation Machine Considering Inductance Nonlinearity

Han Yi;Yiming Fan;Yuting Lu;Guodong Feng;Liangliang Wei

IEEE Transactions on Power Electronics

Year: 2025 | Volume: 40, Issue: 5 | Journal Article |

Position Offset Injection Based Fast and Accurate Maximum Torque Per Ampere (MTPA) Control of Interior PMSMs

Zhe Tong;Fengyu Wang;Yuting Lu;Beichen Ding;Guodong Feng

2024 27th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2024 | Conference Paper |

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For the permanent magnet synchronous machine (PMSM), the maximum torque per ampere (MTPA) control is crucial to improve the torque capability and reduce the copper loss. However, the nonlinearities, such as magnetic saturation and temperature rise, make it challenging to identify the optimal current angle accurately during the online operation. This paper proposes a fast and accurate MTPA angle de...Show More

Position Offset Injection Based Fast and Accurate Maximum Torque Per Ampere (MTPA) Control of Interior PMSMs

Zhe Tong;Fengyu Wang;Yuting Lu;Beichen Ding;Guodong Feng

2024 27th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2024 | Conference Paper |

Position Offset Injection Based Winding and Permanent Magnet Temperature Decoupled Estimation for PMSMs

Yuting Lu;Beichen Ding;Guodong Feng

2024 27th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2024 | Conference Paper |

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This paper proposes a decoupled approach for winding and permanent magnet (PM) temperature estimation of SPMSMs based on high frequency (HF) position offset injection. The decoupled temperature estimation model in the position-offset frame is derived, which can achieve decoupled estimation of the winding and PM temperatures. To avoid the parameter dependence and fundamental components influences, ...Show More

Position Offset Injection Based Winding and Permanent Magnet Temperature Decoupled Estimation for PMSMs

Yuting Lu;Beichen Ding;Guodong Feng

2024 27th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2024 | Conference Paper |

Position Offset and Current Angle Combined Injection Based online Multiparameter Estimation of PMSM Considering Inverter Distortion

Yuheng Pei;Zhe Tong;Guodong Feng

2024 27th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2024 | Conference Paper |

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To address the rank deficiency issue of multiparameter estimation for permanent magnet synchronous motors (PMSMs), this paper introduces a method based on combined injection of position offset and current angle offset. Specifically, the opposite position offset and current angle offset are injected into the machine for data collection. During the injection, the dq-axis current magnitudes remain un...Show More

Position Offset and Current Angle Combined Injection Based online Multiparameter Estimation of PMSM Considering Inverter Distortion

Yuheng Pei;Zhe Tong;Guodong Feng

2024 27th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2024 | Conference Paper |

Inductance and Core Loss Modeling and Estimation of Permanent Magnet Synchronous Motor with Subspace Learning-Based Flux Linkage Denoising

Zupeng Zhu;Bigan He;Zhisheng Zhang;Kunhong Fang;Guodong Feng;Kaide Huang

2024 International Conference on Intelligent Robotics and Automatic Control (IRAC)

Year: 2024 | Conference Paper |

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In the field of control and optimization for permanent magnet synchronous motors (PMSM), it is challenging to accurately estimate the inductances along the motor’s d-axis and q-axis, as well as to quantify the complex effects of core loss. This study proposes a inductance and core loss estimation method for PMSM based on flux linkage denoising and neural network modeling. Specifically, an equivale...Show More

Inductance and Core Loss Modeling and Estimation of Permanent Magnet Synchronous Motor with Subspace Learning-Based Flux Linkage Denoising

Zupeng Zhu;Bigan He;Zhisheng Zhang;Kunhong Fang;Guodong Feng;Kaide Huang

2024 International Conference on Intelligent Robotics and Automatic Control (IRAC)

Year: 2024 | Conference Paper |

Single Open-Phase Fault Tolerant Control of Salient Dual Three-Phase PMSMs With Maximized Torque to Total Loss Ratio Considering Peak Phase Current Limit

Beichen Ding;Yuting Lu;Chunyan Lai;Guodong Feng

IEEE Transactions on Industrial Electronics

Year: 2024 | Early Access Article |

For dual three-phase permanent magnet synchronous machines (DT-PMSMs) under open-phase fault, the fault tolerant currents are often unbalanced to generate smooth torque, which results in the peak current and copper loss of certain phases and per phase loss being significantly larger than healthy conditions. This can limit the maximum attainable torque and lead to overheating issue of the phases wi...Show More

Single Open-Phase Fault Tolerant Control of Salient Dual Three-Phase PMSMs With Maximized Torque to Total Loss Ratio Considering Peak Phase Current Limit

Beichen Ding;Yuting Lu;Chunyan Lai;Guodong Feng

IEEE Transactions on Industrial Electronics

Year: 2024 | Early Access Article |

Core Loss Effect Modeling and Compensation for Improved MTPA Control of PMSM Drive under High-Speed Conditions

Yuting Lu;Beichen Ding;Kaide Huang;Guodong Feng

CES Transactions on Electrical Machines and Systems

Year: 2024 | Volume: 8, Issue: 4 | Journal Article |

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For permanent magnet synchronous machines (PMSMs), accurate machine model is critical for high performance maximum torque per ampere (MTPA) control. However, as motor speed increases, the nonlinearity such as core loss effect will affect the accuracy of machine model and thus the performance of online MTPA control. This paper firstly investigates the performance of the model based MTPA control und...Show More

Core Loss Effect Modeling and Compensation for Improved MTPA Control of PMSM Drive under High-Speed Conditions

Yuting Lu;Beichen Ding;Kaide Huang;Guodong Feng

CES Transactions on Electrical Machines and Systems

Year: 2024 | Volume: 8, Issue: 4 | Journal Article |

Nonlinear Modeling and Estimation of Voltage to Current Angle Derivative for Accurate Inductance Identification of PMSMs

Yuting Lu;Guodong Feng;Guishan Yan;Beichen Ding

IEEE Transactions on Industrial Electronics

Year: 2024 | Early Access Article |

For permanent magnet synchronous machines (PMSMs), accurate inductances are critical to achieve high performance control, but inductance estimation can be affected by machine nonlinearities and the coupling with other machine parameters. Hence, this article presents the inductance estimation from a new perspective by using the derivative of the voltage to current angle (VCA) to improve the estimat...Show More

Nonlinear Modeling and Estimation of Voltage to Current Angle Derivative for Accurate Inductance Identification of PMSMs

Yuting Lu;Guodong Feng;Guishan Yan;Beichen Ding

IEEE Transactions on Industrial Electronics

Year: 2024 | Early Access Article |

Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction

Beichen Ding;Yuting Lu;Chunyan Lai;Weiwen Peng;Kaide Huang;Guodong Feng

CES Transactions on Electrical Machines and Systems

Year: 2024 | Volume: 8, Issue: 4 | Journal Article |

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For permanent magnet synchronous machine (PMSM), the machine model is critical to predict the operating states for motor control, which, however, can be greatly affected by system nonlinearities. Hence, this paper investigates accurate machine modeling for control and parameter estimation. In the proposed approach, the PMSM model with saturated inductances is used as the base model, and this paper...Show More

Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction

Beichen Ding;Yuting Lu;Chunyan Lai;Weiwen Peng;Kaide Huang;Guodong Feng

CES Transactions on Electrical Machines and Systems

Year: 2024 | Volume: 8, Issue: 4 | Journal Article |

A Study of Force-Free Control Framework for Industrial Manipulator Tasks Based on High-Pass Filter

Guanwei He;Guodong Feng;Beichen Ding

2024 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2024 | Conference Paper |

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Force-free control (FFC) allows for flexible manipulator motion in response to external forces, making it a vital component of human-robot interaction (HRI). Manual intervention may cause uneven forces on the manipulator or frequencies close to the natural frequency, and mechanical resonance can occur due to the inertia of the manipulator and adjustable equivalent stiffness of the controller. This...Show More

A Study of Force-Free Control Framework for Industrial Manipulator Tasks Based on High-Pass Filter

Guanwei He;Guodong Feng;Beichen Ding

2024 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2024 | Conference Paper |

A Force-free Control Architecture Integrated with Digital Twin for Collaborative Manipulators

Guanwei He;Beichen Ding;Qingqing Huang;Guodong Feng

2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

Year: 2024 | Conference Paper |

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Force-free Control (FFC) efficiently accomplishes trajectory generating through manual interaction with a robotic manipulator in physical space, and the digital twin (DT) provides a comprehensive simulation and understanding of physical systems. In this study, an approach for facilitating human-robot collaboration (HRC) combining FFC and DT is implemented on a six-degree-of-freedom (6-DoF) collabo...Show More

A Force-free Control Architecture Integrated with Digital Twin for Collaborative Manipulators

Guanwei He;Beichen Ding;Qingqing Huang;Guodong Feng

2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

Year: 2024 | Conference Paper |

Dual Position Offset Injection Based Multi-Parameter Decoupled Estimation of PMSM Considering Signal Injection Induced Inductance Variation

Zhe Tong;Bo Meng;Fengyu Wang;Junyan Liu;Yu Liu;Shihao Lin;Beichen Ding;Guodong Feng

IEEE Transactions on Industry Applications

Year: 2024 | Volume: 60, Issue: 5 | Journal Article |

Cited by: Papers (1)

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This paper presents a dual position offset injection based multi-parameter decoupled estimation approach for estimating PM flux linkage and inductances of permanent magnet synchronous machines (PMSMs). Through positive and negative position offset injection, the decoupled estimation models are established to achieve independent estimation of the inductance and PM flux linkage with improved accurac...Show More

Dual Position Offset Injection Based Multi-Parameter Decoupled Estimation of PMSM Considering Signal Injection Induced Inductance Variation

Zhe Tong;Bo Meng;Fengyu Wang;Junyan Liu;Yu Liu;Shihao Lin;Beichen Ding;Guodong Feng

IEEE Transactions on Industry Applications

Year: 2024 | Volume: 60, Issue: 5 | Journal Article |

Permanent Magnet Temperature Estimation for PMSMs Using Virtual Position-Offset Injection

Beichen Ding;Yuting Lu;Kaide Huang;Guodong Feng;Chunyan Lai

CES Transactions on Electrical Machines and Systems

Year: 2024 | Volume: 8, Issue: 1 | Journal Article |

Cited by: Papers (4)

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This paper proposes a virtual position-offset injection based permanent magnet temperature estimation approach for permanent magnet synchronous machines (PMSMs). The concept of virtual position-offset injection is mathematically transforming the machine model to a virtual frame with a position-offset. The virtual frame temperature estimation model is derived to calculate the permanent magnet tempe...Show More

Permanent Magnet Temperature Estimation for PMSMs Using Virtual Position-Offset Injection

Beichen Ding;Yuting Lu;Kaide Huang;Guodong Feng;Chunyan Lai

CES Transactions on Electrical Machines and Systems

Year: 2024 | Volume: 8, Issue: 1 | Journal Article |

Data-Driven Modeling and Compensation Strategy of PMSM Considering Core Loss and Saturation

Yuting Lu;Kaide Huang;Benfei Wang;Chunyan Lai;Guodong Feng

IEEE Journal of Emerging and Selected Topics in Power Electronics

Year: 2024 | Volume: 12, Issue: 2 | Journal Article |

Cited by: Papers (3)

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Accurate model of permanent magnet synchronous machine (PMSM) is significant for high-performance control. The machine model can be affected by various factors such as magnetic saturation and core loss effect, especially in the deep saturation and high-speed regions. This article proposes a data-driven-based machine modeling and compensation approach to improve the model accuracy by considering sa...Show More

Data-Driven Modeling and Compensation Strategy of PMSM Considering Core Loss and Saturation

Yuting Lu;Kaide Huang;Benfei Wang;Chunyan Lai;Guodong Feng

IEEE Journal of Emerging and Selected Topics in Power Electronics

Year: 2024 | Volume: 12, Issue: 2 | Journal Article |

An Ultra-Local Model-Based Control Method With the Bus Voltage Supervisor for Hybrid Energy Storage System in Electric Vehicles

Benfei Wang;Hongru Fan;Zhipeng Li;Guodong Feng;Yu Han

IEEE Journal of Emerging and Selected Topics in Power Electronics

Year: 2024 | Volume: 12, Issue: 1 | Journal Article |

Cited by: Papers (4)

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Electric vehicles (EVs) with hybrid energy storage systems (HESSs) are getting popular as HESS can improve the battery’s lifetime and thus reduce maintenance costs. In this article, an ultra-local model (ULM)-based method with the bus voltage supervisor (BVS) is proposed for the HESS in EVs with stable and quick dynamic performance. In the method, an integral sliding mode observer (ISMO) is design...Show More

An Ultra-Local Model-Based Control Method With the Bus Voltage Supervisor for Hybrid Energy Storage System in Electric Vehicles

Benfei Wang;Hongru Fan;Zhipeng Li;Guodong Feng;Yu Han

IEEE Journal of Emerging and Selected Topics in Power Electronics

Year: 2024 | Volume: 12, Issue: 1 | Journal Article |

Investigation of a Double-Stator Dual-PM Hybrid Excitation Machine With DC Bias Current

Dongqing Liu;Jun Jin;Yiwen Sun;Xiaojun Tan;Benfei Wang;Guodong Feng;Liangliang Wei

IEEE Journal of Emerging and Selected Topics in Power Electronics

Year: 2024 | Volume: 12, Issue: 1 | Journal Article |

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This article investigates a double-stator dual permanent magnet (dual-PM) hybrid excitation machine (DS-DHEM) with dc bias current. Integrated winding accommodated on the outer stator can produce the armature field and excitation field simultaneously with the dc bias current to improve the efficiency and flux regulation capability, and the dual consequent-pole PMs on the inner stator and rotor are...Show More

Investigation of a Double-Stator Dual-PM Hybrid Excitation Machine With DC Bias Current

Dongqing Liu;Jun Jin;Yiwen Sun;Xiaojun Tan;Benfei Wang;Guodong Feng;Liangliang Wei

IEEE Journal of Emerging and Selected Topics in Power Electronics

Year: 2024 | Volume: 12, Issue: 1 | Journal Article |

Flux Linkage Tracking-Based Permanent Magnet Temperature Hybrid Modeling and Estimation for PMSMs With Data-Driven-Based Core Loss Compensation

Kaide Huang;Beichen Ding;Chunyan Lai;Guodong Feng

IEEE Transactions on Power Electronics

Year: 2024 | Volume: 39, Issue: 1 | Journal Article |

Cited by: Papers (6)

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For permanent magnet synchronous machine (PMSM) drive, accurate magnet temperature is critical. The popular model-based magnet temperature estimation can be affected by core loss effect especially in the high-speed conditions. This article proposes a novel hybrid approach for accurate magnet temperature modeling and estimation, in which the estimation model is established by tracking the flux link...Show More

Flux Linkage Tracking-Based Permanent Magnet Temperature Hybrid Modeling and Estimation for PMSMs With Data-Driven-Based Core Loss Compensation

Kaide Huang;Beichen Ding;Chunyan Lai;Guodong Feng

IEEE Transactions on Power Electronics

Year: 2024 | Volume: 39, Issue: 1 | Journal Article |

Mechanical and Electrical Parameter Estimation for PMSMs Considering Sensor Measurement Offset

Lupeng Yang;Shen Zhao;Guodong Feng

2023 China Automation Congress (CAC)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Given the problem of permanent magnet synchronous motor (PMSM) driving, a multi-parameter estimation method for PMSM considering the influence of torque bias is proposed to improve the accuracy of motor torque estimation. Torque deviation is a factor that cannot be ignored in parameter estimation, which directly leads to the accuracy of electrical parameter estimation. To improve the accuracy of p...Show More

Mechanical and Electrical Parameter Estimation for PMSMs Considering Sensor Measurement Offset

Lupeng Yang;Shen Zhao;Guodong Feng

2023 China Automation Congress (CAC)

Year: 2023 | Conference Paper |

Position Error Compensation for PMSM in Sensorless Control Based on Maximum Output Power per Unit Current

Peiyu Yao;Yuting Lu;Guodong Feng;Weiwen Peng;Beichen Ding

2023 26th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2023 | Conference Paper |

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In order to resolve the problem of rotor position estimation accuracy, which is affected by parameter variations during operation of permanent magnet synchronous motor (PMSM), a position error compensation method based on the maximum power output per unit current is proposed. First, a simple and efficient sensorless control scheme based on the back electromotive force (EMF) observer is presented, ...Show More

Position Error Compensation for PMSM in Sensorless Control Based on Maximum Output Power per Unit Current

Peiyu Yao;Yuting Lu;Guodong Feng;Weiwen Peng;Beichen Ding

2023 26th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2023 | Conference Paper |

Position Offset Injection based Inductance and PM Flux Linkage Decoupled Estimation of PMSMs Considering Magnetic Saturation

Zhe Tong;Bo Meng;Fengyu Wang;Junyan Liu;Yu Liu;Shihao Lin;Guodong Feng

2023 26th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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Accurate parameters are crucial to achieve high quality control of permanent magnet synchronous machine (PMSM). This paper presents a multi-parameter estimation approach for permanent magnet flux linkage and inductances estimation of PMSM based on the position offset injection. At first, the estimation models for the permanent magnet flux linkage and inductances are derived from the machine model ...Show More

Position Offset Injection based Inductance and PM Flux Linkage Decoupled Estimation of PMSMs Considering Magnetic Saturation

Zhe Tong;Bo Meng;Fengyu Wang;Junyan Liu;Yu Liu;Shihao Lin;Guodong Feng

2023 26th International Conference on Electrical Machines and Systems (ICEMS)

Year: 2023 | Conference Paper |

Correlated Inductance Modeling and Estimation of Permanent Magnet Synchronous Machines Considering Magnetic Saturation

Beichen Ding;Kaide Huang;Chunyan Lai;Guodong Feng

IEEE Transactions on Power Electronics

Year: 2023 | Volume: 38, Issue: 11 | Journal Article |

Cited by: Papers (5)

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For permanent magnet synchronous machines (PMSMs), magnetic saturation is a key challenge to parameter estimation and saturation modeling using polynomials is popular with dq-axis inductances estimated independently. However, dq-axis inductances are mathematical terms derived from stator frame and are indeed correlated, which is not fully explored for improving estimation performance. Hence, this ...Show More

Correlated Inductance Modeling and Estimation of Permanent Magnet Synchronous Machines Considering Magnetic Saturation

Beichen Ding;Kaide Huang;Chunyan Lai;Guodong Feng

IEEE Transactions on Power Electronics

Year: 2023 | Volume: 38, Issue: 11 | Journal Article |

A Hybrid Health Prognostics Method for Proton Exchange Membrane Fuel Cells With Internal Health Recovery

Weiwen Peng;Zongyi Wei;Cheng-Geng Huang;Guodong Feng;Jun Li

IEEE Transactions on Transportation Electrification

Year: 2023 | Volume: 9, Issue: 3 | Journal Article |

Cited by: Papers (9)

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Existing health prognostics methods often omit the internal health recovery of proton exchange membrane fuel cells (PEMFCs), although this phenomenon commonly exists, especially in the long-term usage of PEMFCs for hydrogen fuel cell vehicles. To this end, a novel hybrid method for PEMFCs is proposed, and internal recovery effects and external health data are collaboratively leveraged to achieve h...Show More

A Hybrid Health Prognostics Method for Proton Exchange Membrane Fuel Cells With Internal Health Recovery

Weiwen Peng;Zongyi Wei;Cheng-Geng Huang;Guodong Feng;Jun Li

IEEE Transactions on Transportation Electrification

Year: 2023 | Volume: 9, Issue: 3 | Journal Article |

Efficient Maximum Torque Per Ampere (MTPA) Control of Interior PMSM Using Sparse Bayesian Based Offline Data-Driven Model With Online Magnet Temperature Compensation

Kaide Huang;Weiwen Peng;Chunyan Lai;Guodong Feng

IEEE Transactions on Power Electronics

Year: 2023 | Volume: 38, Issue: 4 | Journal Article |

Cited by: Papers (20)

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The maximum torque per ampere (MTPA) is popular control strategy for interior permanent synchronous machines (PMSMs) and MTPA point is dependent on the magnetic saturation and magnet temperature. This article proposes a novel MTPA control method combining offline model and online compensation model for interior PMSM control. In the proposed approach, an offline sparse Bayesian based data driven mo...Show More

Efficient Maximum Torque Per Ampere (MTPA) Control of Interior PMSM Using Sparse Bayesian Based Offline Data-Driven Model With Online Magnet Temperature Compensation

Kaide Huang;Weiwen Peng;Chunyan Lai;Guodong Feng

IEEE Transactions on Power Electronics

Year: 2023 | Volume: 38, Issue: 4 | Journal Article |

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