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New Solutions in Electric Machines and Motor Drives

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

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 6796

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Special Issue Editors

Dr. Natalia Radwan-Pragłowska

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Guest Editor

Faculty of Electrical and Computer Engineering, Cracow University of Technology, 31-155 Krakow, Poland
Interests: PM machines; electromechanical energy conversion
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Tomasz Wegiel

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Guest Editor

Faculty of Electrical and Computer Engineering, Cracow University of Technology, 31-155 Krakow, Poland
Interests: PM machines; variable speed generation; small hydropower plants
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Maciej Sułowicz

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Guest Editor

Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland
Interests: data acquisition; fault diagnosis of electrical machines and drives; time-frequency analysis; wavelet transforms; artificial intelligence; neural networks; fuzzy logic; measurements and data analysis; diagnostics of industrial process; industry application diagnostic methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the coming years, global trends will continue to reduce carbon emissions from engines and fuel consumption, and hence the development of electric machines will surely continue. The aim of this Special Issue is to encourage scientists to publish their theoretical, simulation and experimental research related to a wide range of topics connected to electric machines and motor drives. We invite authors to submit articles connected with new trends in the field of electric machine and motor drives, for example renewable energy systems (including permanent magnet machines) and solutions for vehicle systems, which are also currently growing rapidly. Experts in this field are encouraged to share their latest discoveries in the form of original research papers. The works presented in this Special Issue should concern issues related to the design, operation and optimization of electric machines and motor drives, as well as descriptions of the newest solutions in this topic.

In the case of simulation studies, we particularly encourage authors to present the results of calculation-based analysis using FEM tools as well as methods based on equivalent circuit models and others as an alternative to FEM research.

The focuses of this Special Issue include, without being limited to, the following themes:

New trends and solutions in electric machines and motor drives;
Renewable energy generators;
Vehicle systems;
Industry applications;
Automotive applications;
Diagnostics of electrical machines.

It is our pleasure to invite you to submit your original work to our Special Issue. We look forward to receiving your outstanding research.

Dr. Natalia Radwan-Pragłowska
Prof. Dr. Tomasz Wegiel
Prof. Dr. Maciej Sułowicz
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

renewable energy systems
new solutions in electric machines
electric vehicle
permanent magnet generator
permanent magnet motor
numerical analysis of electric machines
FEM analysis of electric machines
modelling of electric machines

Related Special Issues

New Solutions in Electric Machines and Motor Drives: 2nd Edition in Energies (1 article)
Advanced Topologies and Control Strategies in Electric Machines and Drives in Energies (3 articles)

Published Papers (6 papers)

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Research

20 pages, 7825 KiB

Open AccessArticle

Saliency Ratio-Based Torque Enhancement of Switched Reluctance Motors for Electric Bikes

by Abdul Ghani, Hassan Abdullah Khalid and Habibur Rehman

Energies 2023, 16(21), 7320; https://0-doi-org.brum.beds.ac.uk/10.3390/en16217320 - 28 Oct 2023

Cited by 1 | Viewed by 972

Abstract

Switched reluctance motors (SRMs) face challenges in achieving high performances in terms of the power factor, torque per ampere, and torque ripples. Although several parameters impact their performance, magnetic saliency has a significant impact. This paper presents a study on the influence of the saliency ratio on the performance of switched reluctance motors. A detailed design procedure for a mid-drive electric motor for a high-performance electric bike is presented. A systematic methodology is adopted to estimate the power rating for desired vehicle performance while considering the vehicle’s mechanical and aerodynamic parameters. Additionally, the paper discusses and analyzes the design of two SRM motor configurations with different rotor poles (6/4 and 6/10) while performing magnetostatic analysis for generated torque validation. A parametric study is performed on the 6/10 SRM design for further improvement in the torque profile while keeping the same fill factor and electrical loading. Furthermore, the transient analysis in Ansys Maxwell 2D for both SRMs confirms the designed performance. The results shows that the SRM with higher rotor poles (6/10) is a better choice. Full article

(This article belongs to the Special Issue New Solutions in Electric Machines and Motor Drives)

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19 pages, 12269 KiB

Open AccessArticle

Identification and Analysis of Noise Sources of Permanent Magnet Synchronous Traction Motor with Interior Permanent Magnet

by Emil Król and Marcin Maciążek

Energies 2023, 16(16), 6018; https://0-doi-org.brum.beds.ac.uk/10.3390/en16166018 - 17 Aug 2023

Cited by 3 | Viewed by 1048

Abstract

The rapid development of electromobility is placing ever higher demands on new electric motor designs. This results in a gradual reduction in weight with a simultaneous increase in maximum torque. As a result, unfavorable phenomena, such as vibration and noise, can become apparent in the drivetrain. Modeling and evaluation of the acoustic noise sources of a traction motor are particularly important when it is used, for example, as the traction drive of an electric bus, where too high noise levels can have a negative impact on passengers. This article describes methods for analyzing and evaluating the root causes of noise that occurs in permanent magnet traction motors with a rotor in which the magnets have been placed inside the rotor (PMSM IPM). This paper presents an analysis of acoustic noise and forces acting in the air gap of a 240 kW motor with 60 stator slots and 2p = 10 (s60p20) as the number of pole pairs designed for bus and truck drives. To determine the dominant noise sources and evaluate their value, the forces acting in the air gap and their effect on the deflection of the outer surface of the stator yoke were calculated. The natural frequencies of the machine, their frequencies for the entire rotor speed range, and the frequency of vibration of the motor stator were calculated. Based on these data, the sound power level (A-SWL) was calculated at varying motor speeds. MANATEE software (EOMYS, 9, avenue de la Créativité, 59650 Villeneuve d’Ascq—FRANCE) from EOMYS was used to perform vibroacoustic calculations. The analysis results were also subjected to verification on a laboratory bench. Full article

(This article belongs to the Special Issue New Solutions in Electric Machines and Motor Drives)

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27 pages, 14692 KiB

Open AccessArticle

Optimization of the Lifetime and Cost of a PMSM in an Electric Vehicle Drive Train

by Aissam Riad Meddour, Nassim Rizoug, Patrick Leserf, Christopher Vagg, Richard Burke and Cherif Larouci

Energies 2023, 16(13), 5200; https://0-doi-org.brum.beds.ac.uk/10.3390/en16135200 - 06 Jul 2023

Viewed by 1147

Abstract

This study focuses on optimizing the lifetime and cost of an electric vehicle powertrain by optimizing the motor’s geometrical parameters and the bus voltage while considering the battery’s sizing. We employ the WLTP driving cycle to evaluate the powertrain’s performance and use finite element and analytical modeling to consider electromagnetic, thermal, and aging behaviors. Our research investigates the interplay between the battery and motor, exploring how varying the motor geometry and parameters affects the powertrain’s overall lifetime and cost. Our findings will contribute to developing more efficient and cost-effective electric powertrains. Full article

(This article belongs to the Special Issue New Solutions in Electric Machines and Motor Drives)

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21 pages, 12161 KiB

Open AccessArticle

Kriging-Assisted Multi-Objective Optimization Framework for Electric Motors Using Predetermined Driving Strategy

by György Istenes, Zoltán Pusztai, Péter Kőrös, Zoltán Horváth and Ferenc Friedler

Energies 2023, 16(12), 4713; https://0-doi-org.brum.beds.ac.uk/10.3390/en16124713 - 14 Jun 2023

Cited by 2 | Viewed by 860

Abstract

In this paper, a multi-objective optimization framework for electric motors and its validation is presented. This framework is suitable for the optimization of design variables of electric motors based on a predetermined driving strategy using MATLAB R2019b and Ansys Maxwell 2019 R3 software. The framework is capable of managing a wide range of objective functions due to its modular structure. The optimization can also be easily parallelized and enhanced with surrogate models to reduce the runtime. The framework is validated by manufacturing and measuring the optimized electric motor. The method’s applicability for solving electric motor design problems is demonstrated via the validation process. A test application is also presented, in which the operating points of a predetermined driving strategy provide the input for the optimization. The kriging surrogate model is used in the framework to reduce the runtime. The results of the optimization and the framework’s benefits and drawbacks are discussed through the provided examples, in addition to displaying the properly applicable design processes. The optimization framework provides a ready-to-use tool for optimizing electric motors based on the driving strategy for single- or multi-objective purposes. The applicability of the framework is demonstrated by optimizing the electric motor of a world recorder energy-efficient race vehicle. In this application, the optimization framework achieved a 2% improvement in energy consumption and a 9% increase in speed at a rated DC voltage, allowing the motor to operate at desired working points even with low battery voltage. Full article

(This article belongs to the Special Issue New Solutions in Electric Machines and Motor Drives)

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13 pages, 5097 KiB

Open AccessArticle

Analysis of a Two-Stage Magnetic Precession Gear Dynamics

by Lukasz Macyszyn, Cezary Jedryczka and Michal Mysinski

Energies 2023, 16(11), 4484; https://0-doi-org.brum.beds.ac.uk/10.3390/en16114484 - 01 Jun 2023

Viewed by 866

Abstract

The aim of this study was to carry out the investigation and analysis of two-stage magnetic precession gear dynamics and the determination of the resonance frequencies, which can be a cause of the powertrain system failures. Graphical interpretation of the two-stage precession gear is presented, and two equations of the dynamics of the movable elements of the presented gearbox were determined. On the basis of these equations, the stiffness coefficients and resonance frequencies of the presented gearbox were mathematically derived. The next step was to develop a numerical model of the magnetic precession gear dynamics in the environment of MATLAB Simulink. The elaborated model allowed us to analyze the influence of varying the input speed and the load torque on the operation of the magnetic precession gear. The performed analyses of the dynamics of the magnetic precession gear showed the occurrence of a resonance phenomenon under the influence of load torque ripples with a frequency close to the natural frequency of the studied system. Full article

(This article belongs to the Special Issue New Solutions in Electric Machines and Motor Drives)

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17 pages, 3985 KiB

Open AccessArticle

Analysis of the Impact of Design Parameters on the Power Density of the New Design of the Cogging Machine

by Tomasz Lerch

Energies 2023, 16(7), 3000; https://0-doi-org.brum.beds.ac.uk/10.3390/en16073000 - 24 Mar 2023

Cited by 1 | Viewed by 981

Abstract

The cogging machine is a new design of a machine with permanent magnets, which combines the advantages of a machine with transverse flux (TFM), eliminating its disadvantages. The biggest advantage of TFM machines is their high torque density, which varies with the design parameters. The developed machine retains these advantages while simplifying the construction of the stator core, which is the biggest disadvantage of TFM machines. This article presents the results of an analysis of the power density of the developed cogging machine as a function of a number of pole pairs and the basic design parameters. Analyses were carried out on the basis of the derived analytical equations, which make the generated torque depend on the construction parameters. Thanks to the derived dependencies, one can easily examine the effects of modifying the machine structure. The results presented in the article prove that the developed design of the cogging machine is competitive in relation to machines with permanent magnets existing on the market. Full article

(This article belongs to the Special Issue New Solutions in Electric Machines and Motor Drives)

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