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Analysis and Optimal Design Methods for Electric Machines and Devices...
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Analysis and Optimal Design Methods for Electric Machines and Devices – Volume 2

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 16649

Special Issue Editor

Prof. Dr. Jong-Suk Ro

E-Mail Website
Guest Editor
Electrical Energy Application Lab, Chung-Ang University, Seoul, Republic of Korea
Interests: electric energy application; next-generation electric machine using smart materials (electromagnetism, piezoelectricity, etc.); optimization algorithm; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to seek high-level articles on the following topics:

Research on an efficient method for the analysis and design of electric machines and devices using a numerical method or an analytical method.

  • Effective analysis and design methods are useful for reducing the development time and cost of electric machines and devices.
  • Hence, we are calling for excellent manuscripts on the effective analysis and optimal design methods for electric machines and devices by using a numerical method or an analytic method in order to significantly reduce the time and cost for the development of diverse kinds of machines. 

Development of a novel optimization algorithm or an optimal design method using the optimization algorithm to efficiency and reliability enhance the optimization of electric machines and devices.

  • Optimal design for a reduction in the development time and cost of a machine by finding the optimal point of the objective function.
  • However, the objective function is an unknown black box problem.
  • It is important to efficiently find the reliable optimal point.
  • Hence, we invite you to submit high quality manuscripts on the development of a novel optimization algorithm or an optimal design method using the optimization algorithm.

Prof. Dr. Jong-Suk Ro
Guest Editor

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. Electronics 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 2400 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

  • Analysis and design methods
  • Electric machines and devices (actuators, motors, generators, and transformers, among others)
  • Material modeling (composite materials, hysteresis and anisotropy, magnetostrictive materials, permanent magnets, piezoelectric materials, shape memory alloys, superconducting materials, and thermoelectric materials, among others)
  • Mathematical modelling and formulations
  • Multi-physics and coupled problems (electromagnetic field problems, fluid problems, mechanical problems, and thermal problems, among others)
  • Numerical techniques
  • Optimization algorithms (deterministic algorithms, hybrid algorithms, special optimization algorithms, and stochastic algorithms, among others)
  • Optimization and design

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

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Research

15 pages, 8179 KiB  
Article
Design and Analysis Considering Magnet Usage of Permanent Magnet Synchronous Generator Using Analytical Method
by Ji-Hun Lee, Hoon-Ki Lee, Young-Geun Lee, Jeong-In Lee, Seong-Tae Jo, Kyong-Hwan Kim, Ji-Yong Park and Jang-Young Choi
Electronics 2022, 11(2), 205; https://doi.org/10.3390/electronics11020205 - 10 Jan 2022
Cited by 3 | Viewed by 2938
Abstract
In this study, the characteristic analysis of a permanent magnet synchronous generator was performed using the analytical method, and the validity of the analytical method was compared with that of the finite element method (FEM). For the initial design, the rotor size was [...] Read more.
In this study, the characteristic analysis of a permanent magnet synchronous generator was performed using the analytical method, and the validity of the analytical method was compared with that of the finite element method (FEM). For the initial design, the rotor size was selected using the torque per rotor volume method, and the stator size was selected according to the saturation of the stator iron core. In addition, fast Fourier transform analysis was performed to determine the appropriate magnet thickness point, and it was confirmed that the open circuit and armature reaction magnetic flux densities were consistent with the FEM analysis results. Based on the analytical method, the generator circuit constants (phase resistance, back EMF, and inductance) were derived to construct an equivalent circuit. By applying the equivalent circuit method to the derived circuit constants, the accuracy of the equivalent circuit method was confirmed by comparing the FEM and experimental results. Full article
(This article belongs to the Special Issue Analysis and Optimal Design Methods for Electric Machines and Devices – Volume 2)
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11 pages, 3843 KiB  
Article
Analysis and Verification of Traction Motor Iron Loss for Hybrid Electric Vehicles Based on Current Source Analysis Considering Inverter Switching Carrier Frequency
by Jin-Hwan Lee, Woo-Jung Kim and Sang-Yong Jung
Electronics 2021, 10(21), 2714; https://doi.org/10.3390/electronics10212714 - 8 Nov 2021
Cited by 5 | Viewed by 2936
Abstract
In this study, a current source analysis method considering the inverter switching frequency is proposed to improve the precision of loss analysis of a traction motor for a hybrid electric vehicle. Because the iron loss of the traction motor is sensitively influenced by [...] Read more.
In this study, a current source analysis method considering the inverter switching frequency is proposed to improve the precision of loss analysis of a traction motor for a hybrid electric vehicle. Because the iron loss of the traction motor is sensitively influenced by input current fluctuations, the current source analysis using the actual current obtained from an inverter is the ideal method for accurate analysis. However, as the traction motor and inverter should be manufactured to obtain the real current, the traction motor is generally designed based on an ideal current source analysis. Our proposed method is an analytic technique that fits the loss of a traction motor similar to the actual loss by injecting harmonics of the same order of the inverter switching frequency into the ideal input current. Our method is compared with the analysis of the ideal current source to assess the difference in loss. In addition, a test motor was manufactured, and an efficiency test was conducted to compare the efficiency and verify the effectiveness of our method. Full article
(This article belongs to the Special Issue Analysis and Optimal Design Methods for Electric Machines and Devices – Volume 2)
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14 pages, 19928 KiB  
Article
Generator Design Considering Mover Action to Improve Energy Conversion Efficiency in a Free-Piston Engine Generator
by Mitsuhide Sato, Shoma Irie, Jianping Zheng, Tsutomu Mizuno, Fumiya Nishimura and Kaname Naganuma
Electronics 2021, 10(17), 2142; https://doi.org/10.3390/electronics10172142 - 3 Sep 2021
Cited by 2 | Viewed by 3625
Abstract
In a free-piston engine generator (FPEG), the power of the engine can be directly regenerated by linear generators without a crank. The mover motion of this system is interrelated with engine and power generation efficiencies due to the direct connection between the mover [...] Read more.
In a free-piston engine generator (FPEG), the power of the engine can be directly regenerated by linear generators without a crank. The mover motion of this system is interrelated with engine and power generation efficiencies due to the direct connection between the mover of the generator and the piston of the engine. The generator should be designed to improve the overall energy conversion efficiency. The dimensions and mass of the mover limit its operating stroke and drive frequency. Herein, we propose a method for designing linear generators and constructing FPEG systems, considering the mover operation to improve engine efficiency. We evaluated the effect of mover operation on the engine and generation efficiencies using thermal and electromagnetic field analysis software. The proposed design method improves the overall energy conversion efficiency compared with a generator that considers only the maximization of generation efficiency. Setting the mover operation for higher engine efficiency and designing a linear generator to realize the operation can effectively improve the energy conversion efficiency of FPEGs. Full article
(This article belongs to the Special Issue Analysis and Optimal Design Methods for Electric Machines and Devices – Volume 2)
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15 pages, 14151 KiB  
Article
TEI-DTA: Optimizing a Vehicular Sensor Network Operating with Ultra-Low Power System-on-Chips
by Seung-Yeong Lee, Jae-Hyoung Lee, Jiyoung Lee and Woojoo Lee
Electronics 2021, 10(15), 1789; https://doi.org/10.3390/electronics10151789 - 26 Jul 2021
Cited by 1 | Viewed by 1686
Abstract
In the era of the Internet of Things (IoT), the interest and demand for embedded systems have been explosively increasing. In particular, vehicular sensor networks are one of the fields where IoT-oriented embedded devices (also known as IoT devices) are being actively used. [...] Read more.
In the era of the Internet of Things (IoT), the interest and demand for embedded systems have been explosively increasing. In particular, vehicular sensor networks are one of the fields where IoT-oriented embedded devices (also known as IoT devices) are being actively used. These IoT devices are widely deployed in and out of the vehicle to check vehicle conditions, prevent accidents, and support autonomous driving, forming a vehicular sensor network. In particular, such sensor networks mainly consist of third-party devices that operate independently of the vehicle and run on their own batteries. After all, like all battery-powered embedded devices, the IoT devices for the vehicular sensor network also suffer from limited power sources, and thus research on how to design/operate them energy-efficiently is drawing attention from both academia and industry. This paper notes that the vehicular sensor network may be the best application for ultra-low power system on-chips (ULP SoCs). The ULP SoCs are mainly designed based on ultra-low voltage operating (ULV) circuits, and this paper aims to realize the energy-optimized driving of the network by applying state of the art (SoA) low-power techniques exploiting the unique characteristics of ULV circuits to the IoT devices in the vehicular sensor network. To this end, this paper proposes an optimal task assignment algorithm that can achieve the best energy-efficient drive of the target network by fully utilizing the SoA low power techniques for ULV circuits. Along with a detailed description of the proposed algorithm, this paper demonstrates the effectiveness of the proposed method by providing an in-depth evaluation process and experimental results for the proposed algorithm. Full article
(This article belongs to the Special Issue Analysis and Optimal Design Methods for Electric Machines and Devices – Volume 2)
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14 pages, 2275 KiB  
Article
A Novel Method for Establishing an Efficiency Map of IPMSMs for EV Propulsion Based on the Finite-Element Method and a Neural Network
by Sung-Bae Jun, Chan-Ho Kim, JuKyung Cha, Jin Hwan Lee, Yong-Jae Kim and Sang-Yong Jung
Electronics 2021, 10(9), 1049; https://doi.org/10.3390/electronics10091049 - 29 Apr 2021
Cited by 11 | Viewed by 4398
Abstract
In this paper, we introduce a novel method for establishing an efficiency map of interior permanent-magnet synchronous motors that are used for electric vehicle propulsion, by employing the finite-element method (FEM) and a neural network (NN) to reduce the analysis time. The electro-magnetic [...] Read more.
In this paper, we introduce a novel method for establishing an efficiency map of interior permanent-magnet synchronous motors that are used for electric vehicle propulsion, by employing the finite-element method (FEM) and a neural network (NN) to reduce the analysis time. The electro-magnetic analysis of motors using the FEM, particularly iron loss analysis, is significantly time-consuming owing to the nonlinearity and the post-processing. Moreover, to obtain an efficiency map, a data map of the d-q flux linkages based on the d-q currents should be established. At this stage, we compute the flux densities in all the elements, and they are learned by the NN to obtain a function of the d-q currents. Subsequently, the iron losses at all operating points are calculated using the learned data via the harmonic loss method. The results of the proposed method indicate that the time required to obtain the efficiency map is reduced; furthermore, the results are validated via a comparison with the FEM results. Full article
(This article belongs to the Special Issue Analysis and Optimal Design Methods for Electric Machines and Devices – Volume 2)
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