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Energies
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Designs and Control of Electrical Machines and Drives
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Designs and Control of Electrical Machines and Drives

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: 29 August 2025 | Viewed by 3484

Special Issue Editors

Dr. Hengliang Zhang

E-Mail Website
Guest Editor
School of Electrical Engineering, Southeast University, Nanjing 210096, China
Interests: permanent magnet synchronous motor; permanent magnet machines; electrical machine; electrical drives
Dr. Xiaofeng Zhu

E-Mail Website
Guest Editor
School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China
Interests: electrical machine; permanent magnet synchronous motor
Dr. Wentao Huang

E-Mail Website
Guest Editor
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Interests: PM motor drives; fault diagnosis; fault-tolerant control
Special Issues, Collections and Topics in MDPI journals
Dr. Fengyu Zhang

E-Mail Website
Guest Editor
PEMC Research Group, University of Nottingham, Nottingham NG7 2RD, UK
Interests: PEMC; electrical machine; thermal modelling

Special Issue Information

Dear Colleagues,

Advanced electrical machines and their systems are of great significance for achieving zero-carbon emission. This Special Issue is dedicated to providing a platform for researches to share their research and advancements in the design and control of electrical machines and drives, as well as to contribute to ongoing progress in this dynamic field.

In this Special Issue, original research articles and reviews are welcome. Topics of interest for publication include, but are not limited to, the following:

  • Electrical machine topology innovation;
  • Axial-flux electrical machines;
  • Bearingless electrical machines;
  • Thermal management and modeling;
  • Loss and efficiency;
  • Insulation and aging;
  • Optimization design;
  • Vibration and noise;
  • Advanced materials;
  • Applications of AI;
  • Advanced control strategies of motor drives;
  • Model predictive control;
  • Sensorless control;
  • Multi-phase electrical machines and drives;
  • Fault diagnosis and fault tolerance.

Dr. Hengliang Zhang
Dr. Xiaofeng Zhu
Dr. Wentao Huang
Dr. Fengyu Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electrical machine
  • permanent magnet machine
  • optimization method
  • thermal management
  • control strategy
  • multi-physics analysis

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Published Papers (3 papers)

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Research

16 pages, 3687 KiB  
Article
Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor
by Wenshao Bu, Shihao Guo, Zongang Fan and Jinwei Li
Energies 2025, 18(2), 362; https://doi.org/10.3390/en18020362 - 16 Jan 2025
Viewed by 744
Abstract
The fuzzy controller is a popular choice for permanent magnet synchronous motor (PMSM) control systems because of its advantages, such as straightforward design, and no reliance on the precise mathematical model of the motor. But the existing pure PI-like fuzzy control strategy still [...] Read more.
The fuzzy controller is a popular choice for permanent magnet synchronous motor (PMSM) control systems because of its advantages, such as straightforward design, and no reliance on the precise mathematical model of the motor. But the existing pure PI-like fuzzy control strategy still has some disadvantages, such as poor adaptive ability and large overshooting. This work redevelops the structure and rules of the adaptive fuzzy controller, and proposes and proves an improved adaptive PI-like fuzzy control algorithm for the PMSM system. Firstly, a parallel dual fuzzy controller structure is constructed to facilitate the adaptive adjustment of the “PI-like fuzzy controller”. Secondly, the error acceleration parameter rv(k), which contains the PMSM speed information, is set and normalized to accurately identify the dynamic response stages of the PMSM system. Lastly, an adaptive fuzzy rule table is designed based on the dynamic response waveform of the PMSM system, and the control characterization is analyzed. The simulation and experimental results of the PMSM system show that the improved adaptive PI-like fuzzy controller has a broad dynamic adjustment range, the PMSM can rapidly and smoothly reach the given speed during the startup stage with small overshooting, the speed drop is low when the load is abruptly added, the PMSM system can quickly return to the steady state with a strong adaptive ability, and its dynamic performance indicators surpass those of the PID controller and traditional PI-like fuzzy controller. Full article
(This article belongs to the Special Issue Designs and Control of Electrical Machines and Drives)
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16 pages, 37894 KiB  
Article
High-Precision Rotor Position Fitting Method of Permanent Magnet Synchronous Machine Based on Hall-Effect Sensors
by Kaining Qu, Pengfei Pang and Wei Hua
Energies 2024, 17(22), 5625; https://doi.org/10.3390/en17225625 - 10 Nov 2024
Cited by 1 | Viewed by 1222
Abstract
The high-performance vector control technology of permanent magnet synchronous machines (PMSMs) relies on high-precision rotor position. The Hall-effect sensor has the advantages of low cost, simple installation, and strong anti-interference ability. However, it can only provide six discrete rotor angles in an electrical [...] Read more.
The high-performance vector control technology of permanent magnet synchronous machines (PMSMs) relies on high-precision rotor position. The Hall-effect sensor has the advantages of low cost, simple installation, and strong anti-interference ability. However, it can only provide six discrete rotor angles in an electrical cycle, which makes high-precision vector control of PMSMs difficult. Hence, to obtain the necessary rotor position of PMSMs, a rotor position fitting method combining the Hall signal and machine flux information is proposed. Firstly, the rotor position signal output by the Hall-effect sensors is used to calibrate and update the stator flux obtained under pure integration. Then, based on the corrected stator flux and its relationship with current and angle, the rotor position and speed are obtained. Experimental verification shows that the rotor position observer combining Hall signal and flux information can reduce the initial value bias and integral drift caused by traditional average speed method hysteresis and pure integration method calculation of flux and can quickly and accurately track and estimate the rotor position, achieving high-performance vector control of PMSMs. Full article
(This article belongs to the Special Issue Designs and Control of Electrical Machines and Drives)
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16 pages, 11095 KiB  
Article
A Multi-Functional Integrated Onboard Charger for Dual-Motor Driving EVs
by Minghao Tong, Xiaoqiang Liu, Yudong Chen, Le Sun and Zhiyuan Xu
Energies 2024, 17(21), 5276; https://doi.org/10.3390/en17215276 - 23 Oct 2024
Viewed by 1016
Abstract
In this paper, to achieve versatile, cost-effective charging for dual-motor EVs, a multi-functional integrated onboard charger is constructed using a dual-motor driving system. In the driving mode, a five-phase flux-switching permanent-magnet (FSPM) motor powers the front, while a three-phase FSPM motor drives the [...] Read more.
In this paper, to achieve versatile, cost-effective charging for dual-motor EVs, a multi-functional integrated onboard charger is constructed using a dual-motor driving system. In the driving mode, a five-phase flux-switching permanent-magnet (FSPM) motor powers the front, while a three-phase FSPM motor drives the rear. While in the charging mode, different topologies are adopted for different application scenarios, such as the single-phase AC charging mode, the three-phase AC charging mode, and the DC charging mode. The five-phase FSPM motor and its inverters serve as a boost-based AC/DC converter in both single-phase and three-phase AC charging modes, transforming grid power to DC. In the DC charging mode, they are reconfigured to function as a buck converter. During the three-phase AC charging mode, the three-phase FSPM motor and its inverters take on the role of a rear-stage buck converter. They function to regulate the rectified DC voltage, ensuring it meets battery charging needs. The performance of the integrated charger is validated through simulation and experiment results. Full article
(This article belongs to the Special Issue Designs and Control of Electrical Machines and Drives)
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