United States

1. Study Objective&lt;br/&gt;The vibration measurement is mainly used natural frequency and resonance frequency to predict the magnetic device operation status. These categories are the value of the predicted frequency. There are applicable the smart device induced as the motor, transformer, robot integration platform [1]. This common feature is focused the electric motor device where is made by the electromagnetic silicon steel sheet. This study is used the magnetostrictive variation induced by the electromagnetic silicon steel sheet through the exciting power of the current and magnetic field which is to accelerate the vibration and noise variation. It is caused by the excitation of the core and coil. It can intercept the required characteristic signal, analyze the performance of dynamic magnetostrictive of ESS under DC bias and its complex dynamic anisotropy. The motors running under high-frequency conditions cause noise and vibration due to the interaction between magnetomotive forces (MMF) is concerned.&lt;br/&gt;2. Experiment Results and Discussion&lt;br/&gt;Regarding to the vibration frequency prediction as a multi-type classification problem, it uses the neural network features of deep learning to combine the input signal, as shown in Figure 1. That is classified into different categories. To use an optimized method with feedforward convolutional neural network, it can predict the frequency and analyze the AC and DC vibration frequency of the power motor and the non-fixed periodicity of the mechanical robot arm belong to different spectrum models. The sound pressure level is related to the sound intensity level (SIL). The conversion of voltage signal, current signal, and time domain and frequency domain FFT. As shown in Figure 2, to predict the vibration and sound module by using artificial intelligence method, it is verified the operating system through by measurement, numerical analysis and optimal calculation of NN method to identify the vibration and noise of the motor.

MMM 2022

A New Approach to Identify the Motor Vibration and Noise Dependent on Harmonic and FFT Transform

1. Study Objective The vibration measurement is mainly used natural frequency and resonance frequency to predict the magnetic device operation status. These categories are the value of the predicted frequency. There are applicable the smart device induced as the motor, transformer, robot integration platform [1]. This common feature is focused the electric motor device where is made by the electromagnetic silicon steel sheet. This study is used the magnetostrictive variation induced by the electromagnetic silicon steel sheet through the exciting power of the current and magnetic field which is to accelerate the vibration and noise variation. It is caused by the excitation of the core and coil. It can intercept the required characteristic signal, analyze the performance of dynamic magnetostrictive of ESS under DC bias and its complex dynamic anisotropy. The motors running under high-frequency conditions cause noise and vibration due to the interaction between magnetomotive forces (MMF) is concerned. 2. Experiment Results and Discussion Regarding to the vibration frequency prediction as a multi-type classification problem, it uses the neural network features of deep learning to combine the input signal, as shown in Figure 1. That is classified into different categories. To use an optimized method with feedforward convolutional neural network, it can predict the frequency and analyze the AC and DC vibration frequency of the power motor and the non-fixed periodicity of the mechanical robot arm belong to different spectrum models. The sound pressure level is related to the sound intensity level (SIL). The conversion of voltage signal, current signal, and time domain and frequency domain FFT. As shown in Figure 2, to predict the vibration and sound module by using artificial intelligence method, it is verified the operating system through by measurement, numerical analysis and optimal calculation of NN method to identify the vibration and noise of the motor.

poster

#### Welcome to the 67th Annual Conference on Magnetism and Magnetic Materials, MMM 2022!

The Conference was held from October 31 to November 4 and offers both in-person and on-demand content.

MMM 2022 is sponsored jointly by AIP Publishing and the IEEE Magnetics Society. Members of the international scientific and engineering communities interested in recent developments in fundamental and applied magnetism are invited to attend and contribute to the technical sessions. The technical program will include invited and contributed papers in oral and poster sessions, invited symposia, a tutorial, and several special sessions. This Conference provides an outstanding opportunity for worldwide participants to meet their colleagues and collaborators and discuss developments in all areas of magnetism research.

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This paper proposes the transmission and identification of energy sensing signals for IoT smart vehicles. The article proposes two research structures, including deep learning to detect abnormal sound signals of vehicle motors. The Internet of Things technology to collect vehicle sensing signals upload to the cloud system. A new approach of tunable FOPID (fractional-order proportional-integral-derivative) fuzzy controller for reduction of power losses on electric vehicle, which saving energy included as the AC generator, supercapacitors and Li-ion battery charging device etc., is proposed as shown in Figure 1. The energy consumption for power inverter, AC generator, transformer and supercapacitors battery was calculated. A modified switching pulse width-modulation (PWM) inverter, which a generator with signal AC/DC inverter FOPID controller is performed. A deep learning neural network method to solve motor unformal signal is proposed. Long short term memory (LSTM) have a higher accuracy of intercepting motor noise than conventional machine learning methods. Additionally, the disadvantage of deep learning algorithms is that they require large datasets to ensure an efficient performance. In this study, a combination of CNN and LSTM is proposed to prevent failure cause by the motor anomalous noise. This is applied to the CNN for noise image feature material. In addition, the LSTM is combined with the actual noise measurement spectrum data between 40 Hz â€“ 20 kHz to analyze the noise of the motor. The CNN-LSTM can be effectively analyzed substantial anomalous motor noises. This approach yields a reduction in the switching losses and an improvement in the converting efficiency evidenced by the numerical data, as shown in Figure 2. Finally, experimental results also show that FOPID with fuzzy controller in saving energy can improve power loss, compared with that of conventional PID controller around 35%.

Prediction of Abnormal Noise and Harmonic of Electromagnetic Motor on Electric Vehicle

I. Introduction Hybrid-excited (HE) machine and fault-tolerant (FT) machine have attracted wide attention due to their several advantages, such as easy adjustment of air-gap magnetic field, high power density and high efficiency in wide speed range of HE machine, and reliability of FT machine [1]-[2]. Nowadays, multi-tooth field modulated (MTFM) machines have become a research hotspot thanks to their capability of sufficiently utilizing harmonics to promote the average output torque [3]. In this paper, to apply the advantages of HE machine and FT machine to MTFM machine, a novel hybrid-excited fault-tolerant multi-tooth field modulated (HEFT-MTFM) machine is proposed. The topology of proposed machine is shown in Fig. 1. To have lower demagnetization risk, parallel-hybrid-excited structure is adopted in the machine. II. Electromagnetic Performance The electromagnetic performances of HEFT-MTFM machine are presented in Fig. 2. It can be seen that regulating the magnitude of air-gap field by excitation windings can change the magnitudes of flux linkage, back-EMF and electromagnetic torque, and keep flux linkage and back-EMF good sinusoidal and also keep the magnitude of cogging torque and torque ripple small. In terms of the fault-tolerant capability, It can be observed from Fig. 2 (e) that the self-inductance of HEFT-MTFM machine is larger than that of traditional fault-tolerant field modulated machine by same motor size. Overall, the proposed HEFT-MTFM machine exhibit good flux regulation capability, sinusoidal flux linkage and back-EMF, small cogging torque and torque ripple, short-circuit current restrained capability due to high self-inductance and magnetically isolated capability due to low mutual-inductance. The operation principle, machine optimization and more detailed performances including the loss of PMs and operation efficiency will be further discussed in the full paper.

A Novel Fault Tolerant Multi

I. Introduction Flux-switching permanent-magnet (FSPM) machine has been received much attention due to its advantages of high torque density and easy heat management, etc. [1]. In order to enhance the torque/power capability, FSPM machine with multi-tooth structure (MFSPM) has been proposed [2]. However, not only high power density but also high reliability and good fault-tolerance capability are required for PM machine and hence three novel fault-tolerant MFSPM (FT-MFSPM) machines are proposed in this paper based on the MFSPM machine in [2]. The topologies of proposed machines are shown in Fig. 1. To increase the torque density, a new outer rotor FT-MFSPM (Model I) shown in Fig. 1 (a) is proposed based on [2]. To further increase the output torque, a middle PM is added in each dummy slot (Model II) as shown in Fig. 1 (b). Employing more PMs is an effective method to improve the toque without consuming the operating energy and thus the dual PM modulated FT-MFSPM machine (Model III) is proposed and shown in Fig. 1 (c). II. Performance comparisons The electromagnetic performances of three FT-MFSPM machines are presented in Fig. 2. It can be seen that though Model III exhibits the highest value of flux linkage, back-EMF and electromagnetic torque, it also exhibits the highest value of cogging torque and torque ripple and the most distorted back-EMF. In terms of the fault-tolerant capability, it can be observed from Fig. 2 (e) that the self-inductance of Model I and Model II is almost the same, which is higher than that of Model III. Overall, Model II is superior to Model I and Model III since Model II has greater output torque and smaller torque ripple than Model I with a few increase of PMs and has greater short-circuit current restrained capability due to higher self-inductance and smaller torque ripple with less PMs. The machine optimization and more detailed comparisons including the losses and efficiency will be further discussed in the full paper.

Comparative Analysis of Three Novel Fault Tolerant Multi

Permanent magnet synchronous motors (PMSMs) having high power density and high efficiency are rigorously researched in various premium applications. Among PMSMs, many studies have been conducted on interior permanent magnet synchronous motors (IPMSMs) to improve torque ripple [1-3], but its accurate estimation is not straightforward. Therefore, a six-pole nine-slot IPMSM is adopted as a base model due to its popularity in academia and industries. Other two pole/slot combinations (8p/12s, 10p/15s) having the same winding factor of 0.866 are additionally selected to investigate mainly the influence of a pole/slot combination on torque performance. Air gap force is separated into its radial and tangential components, and the tangential force density (Ft) is determined by two magnetic flux densities in air gap [4]. Due to proportional relation between Ft and the torque [4], torque performance is easily identified by analyzing. In case of maximum and minimum torque at the instant of tmax and tmin, respectively, the distribution of Ft along air gap is illustrated in Fig. 1 to analyze torque ripple. The biggest gap between Ft(Î¸m, Ï‰tmax)and Ft(Î¸m, Ï‰tmin) as indicated in red and blue, respectively, occurs around the right side of a stator pole surface as shaded in yellow in case of anticlockwise rotation. Since Ft is proportional to the product of Br and Bt [4], magnetic flux densities in air gap have to be examined to analyze the variation of Ft. The moment of maximum torque is given in Fig. 2, and it is noted that the change of Bt in increasing a pole number is much greater than that of Br. Compared to Bt of 6p/9s, in particular, that of 10p/15s is significantly reduced by 46% around the right side of a stator pole, and hence, torque ripple is improved in the 10p/15s combination. In conclusion, in varying pole and slot numbers, the impact of Bt is dominant on torque ripple. Especially, the change of Br and Bt with respect to a pole/slot combination will be meticulously analyzed and explained in terms of its reason and relationship with torque ripple.

Torque Analysis of a Permanent Magnet Synchronous Motor using Flux Densities in Air Gap

The increase of power density in permanent magnet synchronous motors(PMSMs) has been getting more crucial these days, and there are two methods to improve the power of a PMSM. One is the increase of magnetic loading(ML) by changing the grade and/or size of permanent magnets [1]. The other is the change of electric loading(EL) by modifying winding design and/or current [2]. ML and EL leading to magnetic flux density in air gap affect electromagnetic and mechanical performance at the same time. Thus, Balance between ML and EL should be examined in terms of efficiency and vibration. In this paper, a sixteen-pole eighteen-slot PMSM for a vertical articulated robot is chosen as a reference model [3], and other two pole/slot combinations (20p/18s, 20p/24s) are together compared in terms of electrical and mechanical performance. In the electric motor, electromagnetic vibration is generated by air gap radial force(Pr) whose density is determined by radial and tangential magnetic flux densities. At a given instant of time, the flux densities are spatially distributed along air gap with respect to mechanical angle, and their spatial distribution changes by spinning the rotor. Pr distributed in a three-dimensional manner is decomposed into harmonics as Fig.1. In the case of 16p18s, the 16th radial force is dominant on the x-axis of a temporal harmonic order. Regarding the y-axis of a spatial harmonic order, the 2nd and 16th are important. The vibration displacement is calculated by the harmonics of Pr as Fig.2. At the frequency of 533.3Hz, the RMS of vibration acceleration of the 16th temporal order on the x-axis is 1.14m/s2, and the 2nd and 16th spatial harmonics have the portion of 83% and 9%, respectively, in vibration acceleration. The influence of ML and EL on the radial force density of the 2nd and 16th spatial harmonics is significantly different each other. In conclusion, balance between magnetic and electric loading has to be examined in terms of efficiency and vibration. Especially, trade-off between efficiency and vibration will be meticulously analyzed and explained during the increase of power in PMSMs.

Vibration Analysis of a Permanent Magnet Synchronous Motor by a Pole/Slot Combination

Recently, high-speed permanent magnet motors have been used in various fields by applying rare-earth permanent magnets. Because they rotate at high speeds, the effects of noise, vibration, and harshness (NVH) should be analyzed for mechanical stability. Based on many studies, electromagnetic-exciting sources affecting NVH are classified into cogging torque, torque ripple, electromagnetic force density distribution (MPF), and unbalanced electromagnetic force [1-2]. Therefore, an analysis reflecting the complex excitation source is required in designing a stable high-speed motor [3]. In this study, after analyzing the effect of carrier harmonics generated in the pulse-width modulation control method on the electromagnetic-exciting source through dynamic simulations, the unbalanced electromagnetic force was derived. Finally, the effect on the mechanical aspects was analyzed. Fig. 1(a) shows the 3D structure of the proposed model, and Fig. 1(b) shows the experimental set. Fig. 1(c) and (d) show the variations in the current and magneto-motive force (MMF) waveforms, respectively, according to carrier harmonics through dynamic simulation. Fig. 2(a) shows the UMF of the armature reaction, and Fig. 2(b) shows the harmonics of the torque. The NVH analysis results based on these effects are shown in Fig. 2(c) and (d). Fig. 2(c) shows the NVH when a sinusoidal current is applied, and Fig. 2(b) shows the NVH when the inverter generates a harmonic current. Based on the analysis results, it was confirmed that the higher the vibration order of the frequency related to the unbalanced electromagnetic force, the more significant its influence on the vibration and noise. These results indicate that vibration and noise analyses considering the inverter are essential in the design and performance analysis of high-speed motors. Detailed comparative analysis and experimental results will be presented in the complete paper.

Analysis and Measurements of Influence of Current Harmonics on Vibration of High Speed Motors with Rare

Soft magnetic composite (SMC) material is a relative new soft magnetic material, which has many advantages over traditional silicon sheets, however it has many disadvantages as well. For the better utilization of SMC material in developing electrical machines, some design guidelines should be followed, e.g., 3D magnetic flux path, high frequency operation, and permanent magnet excitation [1]. There are many electrical machines with SMC cores had been developed in the past decades. Based on global ring winding and 3D magnetic flux path, permanent magnet claw pole machine (PMCPM) has shown its high torque ability compared with other electrical machines [2]. For the most PMCPM, three same single phase PMCPM modules are required with shifting 120 degrees electrically each other to form three phase operation, and each one phase module has its own PM rotor thus the PM utilization is very low [3]. In this paper, for improving the PM rotor utilization a novel axial radial flux permanent magnet claw pole machine ARPMCPM is proposed and designed where there stators share one PM rotor. For the performance prediction, 3D finite element method (FEM) is used. Fig. 1 shows the main magnetic structure of the ARPMCPM. As shown, one radial flux claw pole stator and two axial flux claw pole stators are required, the global ring winding is adopted, and spoke PM configuration is adopted for the PM rotor. To form three phase operation, these three claw pole stators are shifted 120 degrees electrically to each other and the winding section area needs to be designed reasonably. Fig. 2 shows no load magnetic field distribution, parameters and main performance of ARPMCPM based on 3D FEM. Fig. 2(b) shows the no load PM flux linkage of winding A, B and C. As shown, A phase PM flux linkage higher than the other PM flux linkages as winding A is located on the radial flux claw pole stator. Fig. 2(c) shows the induced voltages. Fig. 2(d) shows the torque waveform under the current density of 6 A/mm2. Fig. 2(e) and (f) are the core loss and efficiency map. More details and design methods for the ARPMCPM will be presented in the full submission.

Development of a Novel Radial Axial Flux Permanent Magnet Claw Pole Machine with SMC Cores and Ferrite Magnets

I.Introduction
Nowadays, the field-modulated permanent magnet (FMPM) machines have attracted significant attention in direct-drive applications. However, the rare-earth PMs have fluctuation price
and unstable supply. Thus, the rare earth reduction of FMPM machine is extensively regarded as a candidate for electric vehicles [1]. It is investigated that the rotor consequent-pole PM
(R-CPM) machine exhibits higher torque capability than the stator CPM machine because of the fact that various rotor permeance harmonics are more involved in torque generation [2].
Based on the study, this paper designs and analyzes a new FMPM machine with one airgap, which adopts the half Halbach array PMs embedded in the rotor slot and possesses the merit of
high PM utilization ratio.
II.Topology and Operation Principle
As shown in Fig. 1, the proposed FMPM machine consists of rare earth PMs and windings, which are located in the rotor and stator respectively. Compared to the existing FMPM machine,
the key difference is that half Halbach array PMs are employed in rotor slot. The rotor teeth, which provide a mechanical support and better effect of heat dissipation for PMs, build the
routes for the fields of PM and armature winding.
III.Results
Fig. 2(a) presents the no-load phase back-EMFs of the existing and proposed FMPM machines under the same speed. It can be observed that the maximum back-EMF obtained by the
proposed HEFM machine is similar to the existing machine that excited by both rare earth PMs and ferrite PMs. Fig. 2(b) shows that the torque densities with the same rated armature
current of 5Arms. It is found that the torque density of the proposed machine is similar to the superposition of torque produced by the machines with rare earth PMs and ferrite PMs, while
the PM volume is only 66% of the existing one. It proves the effectiveness of the improved rotor structure. 

**References:** 

[1] C. Gong and F. Deng. Design and optimization of a high-torque-density low-torque-ripple vernier machine using ferrite magnets for direct-drive applications. IEEE Transactions on
Industrial Electronics, vol. 69, no. 6, pp. 5421-5431, June 2022. 

[2] Y. Li, H. Yang and H. Lin. Comparative study of torque production mechanisms in stator and rotor consequent-pole permanent magnet machines. IEEE Transactions on Transportation
Electrification, vol. 7, no. 4, pp. 2694-2704, Dec. 2021. 

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Design and Analysis of a New Field modulated Permanent Magnet Machine with an Improved PM Rotor

The magnetic-field-modulated permanent magnet (MFMPM) machines have attracted wide attention in hybrid electric vehicles. In order to improve the torque density, many MFMPM
machines employ two or three portions of PMs and two air gaps [1]. However, the structures with two air gaps increase the complexity and maintenance difficulty. To solve above
problems, alternative flux barriers and alternative flux bridges are introduced in the MFMPM machines with one air-gap [2]. In order to improve the utilizations of rotor space and torque
density per unit volume, this paper proposes a new MFMPM Machine with compound-structure PMs, in which both the spoke and Halbach array PMs are set in the rotor.
II.Topology and Operation Principle
Fig. 1 shows the configuration of the proposed MFMPM machine with the compound-structure Magnets. The stator contains flux-modulation tooth and slots which are filled with single
layer concentrated winding. The rotor is formed by the spoke PMs, Halbach array PMs and alternative flux bridges. The proposed MFMPM machine can be identified as the combination of
the spoke MFMPM machine and Halbach array MFMPM machine. Both the MFMPM machines work on the principle of field modulation effect. Besides, Halbach array PMs are inserted
between the flux bridge and spoke rare-earth PMs to reduce the flux leakage, resulting in improving the utilizations of spoke PMs field.
III.Results
Fig. 2(a) shows that the back EMF waves of proposed MFMPM machine. It can be seen that the proposed MFMPM machine can achieves 172 V which is almost equal to the sum of the
back-EMFs of spoke MFMPM machine and Halbach array MFMPM machine. The waveforms of torque can be obtained, as shown in Fig. 2(b). It reveals that the torque of proposed
machine can achieve 25N.m while the torques of the spoke MFMPM machine and Halbach array MFMPM machine are 19N.m and 7.3N.m respectively. It validates that proposed
compound-structure machine can realize the superposition of spoke PMs and Halbach array PMs. 

**References:** 

[1] G. Liu, P. Zheng, J. Bai, et al. Investigation of a dual-winding dual-flux-concentrated magnetic-field-modulated brushless compound-structure machine. IEEE Transactions on
Magnetics, vol. 58, no. 2, pp. 1-5, Feb. 2022, Art no. 8100505. 
[2] Y. Zhang, D. Li, P. Yan, et al. A high torque density claw-pole permanent-magnets vernier machine. IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no.
2, pp. 1756-1765, April 2022. 

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/64288991527b8e1e1ef72b65f6dec1ec.png)

A New Magnetic Field Modulated Machine with Compound

In general, three aspects of an entire electrical machine design task should be analyzed: electromagnetic, mechanical, and thermal. However, in practice, designers tend to
focus on the electromagnetic aspect and deal superficially with mechanical analysis and thermal analysis. It is necessary to perform mechanical and thermal analysis in applications for
high-speed and high-power machines.
The thermal analysis can be done using two approaches: the method using lumped-parameter thermal networks (LPTNs) also known as “thermal equivalent circuits,” and the analytical
method. The LPTN is a simple model that makes it possible to obtain quickly. However, defining one or two main heat-transfer paths is necessary first, so the final result is not highly
accurate. The analytical method based on complex differential equations and boundary conditions provides more reliable results.
In this study, a comprehensive thermal analysis model was developed and applied to an 8/12 permanent magnet synchronous motor prototype. Fig. 1 shows the manufactured model and
experimental setup. Fig. 2 illustrates an LPTN model according to the front view and side view in Figs. 2(a) and (b), respectively. Fig. 2(c) shows the simplified circuit in the winding, and
Fig. 2(d) shows the temperature results for some positions. The detailed work and experiment results will be presented in the full paper. 

**References:** 

1. A. Boglietti, A. Cavagnino, D. Staton, M. Shanel, M. Mueller and C. Mejuto, "Evolution and Modern Approaches for Thermal Analysis of Electrical Machines," in IEEE
Transactions on Industrial Electronics, vol. 56, no. 3, pp. 871-882, March 2009 
2. G. J. Li, J. Ojeda, E. Hoang, M. Lecrivain and M. Gabsi, "Comparative Studies Between Classical and Mutually Coupled Switched Reluctance Motors Using Thermal-Electromagnetic
Analysis for Driving Cycles," in IEEE Transactions on Magnetics, vol. 47, no. 4, pp. 839-847, April 2011 
3. D. Staton, A. Boglietti and A. Cavagnino, "Solving the more difficult aspects of electric motor thermal analysis in small and medium size industrial induction motors," in IEEE
Transactions on Energy Conversion, vol. 20, no. 3, pp. 620-628, Sept. 2005 

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Thermal Analysis and Experimental Verification of Permanent Magnet Synchronous Motor by Combining Lumped Parameter Thermal Networks with Analytical Method

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A New Approach to Identify the Motor Vibration and Noise Dependent on Harmonic and FFT Transform

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