Design and Control of Electrical Machines in Electric Vehicles, 2nd Edition

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1819

Special Issue Editors

School of Electrical Engineering, Tiangong University, Tianjin 300387, China
Interests: electrical machines and their control systems; electric drive systems of electric vehicles; brushless DC motor; impedance source converter
Special Issues, Collections and Topics in MDPI journals
School of Electrical Engineering, Tiangong University, Tianjin 300387, China
Interests: design and optimization of permanent magnet machine; analytical modeling; numerical analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The electrical machine and its drives are the energy core of electric vehicles. The electric drive system of electric vehicles is mainly composed of an electrical machine, a DC–DC converter, an inverter, a motor controller, a transmission mechanism, etc. The optimized design method and advanced control technology affect the performances of electric vehicles, including the recharge mileage, noise level, safety, manufacturing costs, maintenance costs, and operating life.

In order to improve the operating performance, it is necessary to explore and research around electrical machines’ designs and the control strategies for electric vehicles. In terms of motor ontology, the rapid optimization of electromagnetic analyses, multiphase motors, and permanent magnet motors is worthy of attention. In terms of power converters of electric vehicles, the DC–DC converter, fault-tolerant converter, impedance source converter, and SiC drives are research hotspots. In terms of motor control algorithms, it is necessary to further study the sensorless control method, fault monitoring technology, high-performance torque control strategy, braking control, and energy recovery technology to increase the speed, range, and high-efficiency operating area of electric vehicle motors.

Dr. Xinmin Li
Dr. Liyan Guo
Guest Editors

Manuscript Submission Information

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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. World Electric Vehicle Journal is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • novel permanent magnet synchronous machine
  • high power density
  • high efficiency
  • electric vehicles
  • multimotor systems
  • multilevel converters
  • impedance source converter
  • predictive control
  • servo motor
  • fault diagnosis
  • torque control
  • sensorless
  • efficiency optimization
  • harmonic analysis
  • energy recovery
  • motor drives
  • hybrid power
  • DC–DC converter

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Published Papers (2 papers)

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Research

17 pages, 6954 KiB  
Article
Torque Ripple Reduction in Brushless Wound Rotor Vernier Machine Using Third-Harmonic Multi-Layer Winding
by Muhammad Zulqarnain, Sheikh Yasir Hammad, Junaid Ikram, Syed Sabir Hussain Bukhari and Laiq Khan
World Electr. Veh. J. 2024, 15(4), 163; https://doi.org/10.3390/wevj15040163 - 11 Apr 2024
Viewed by 370
Abstract
This article aims to realize the brushless operation of a wound rotor vernier machine (WRVM) by a third-harmonic field produced through stator auxiliary winding (X). In the conventional model, a third-harmonic current is generated by connecting a 4-pole armature and 12-pole excitation windings [...] Read more.
This article aims to realize the brushless operation of a wound rotor vernier machine (WRVM) by a third-harmonic field produced through stator auxiliary winding (X). In the conventional model, a third-harmonic current is generated by connecting a 4-pole armature and 12-pole excitation windings serially with a three-phase diode rectifier to develop a pulsating field in the airgap of a machine. However, in the proposed model, the ABC winding is supplied by a three-phase current source inverter, whereas the auxiliary winding (X) carries no current due to an open circuit. The fundamental MMF component developed in the machine airgap creates a four-pole stator field, while the third-harmonic MMF induces the harmonic current in the specialized rotor harmonic winding. The rotor on the other side contains the harmonic and the field windings connected through a full-bridge rectifier. The electromagnetic interaction of the stator and rotor fields generates torque. Due to the open-circuited winding pattern, the proposed machine results in a low torque ripple. A 2D model is designed using JMAG-Designer, and 2D field element analysis (FEA) is carried out to determine the output torque and machine’s efficiency. A comparative performance analysis of both the conventional and proposed topologies is discussed graphically. The quantitative analysis of the proposed topology shows better performance as compared to the recently developed third-harmonic-based brushless WRVM topology in terms of output torque and torque ripples. Full article
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20 pages, 23217 KiB  
Article
A Rotor Position Detection Method for Permanent Magnet Synchronous Motors Based on Variable Gain Discrete Sliding Mode Observer
by Mingchen Luan, Yun Zhang, Xiaowei Li and Fenghui Xu
World Electr. Veh. J. 2024, 15(3), 87; https://doi.org/10.3390/wevj15030087 - 27 Feb 2024
Viewed by 1156
Abstract
The purpose of this paper is to study the sensor-less rotor position estimation method for permanent magnet synchronous motors, and to achieve accurate estimation of rotor position in different conditions. Firstly, the traditional super-twisting observer algorithm is analyzed, and a new discrete variable [...] Read more.
The purpose of this paper is to study the sensor-less rotor position estimation method for permanent magnet synchronous motors, and to achieve accurate estimation of rotor position in different conditions. Firstly, the traditional super-twisting observer algorithm is analyzed, and a new discrete variable gain sliding mode observer is designed to solve the buffeting problem in discrete systems, taking the reaction force as the disturbance signal. By estimating the back potential of the observer, the buffeting problem in the sliding mode algorithm can be effectively improved as shown by the simulation results. Then, to solve the problem of phase delay in rotor position estimation, an adaptive orthogonal phase-locked loop method is used to compensate the estimation error caused by the change in motor speed and increase the estimation accuracy of rotor position. The stability of the method can be proven by Lyapunov’s second method. Simulation experiments verify the accuracy of the proposed PMSM rotor position estimation method. Full article
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