Modeling and Analysis of Electric Motors: State-of-the-Art Review

Bilgin, Berker; Liang, Jianbin; Terzić, Mladen V.; Dong, Jianning; Rodriguez, Romina; Trickett, Elizabeth; Emadi, Ali

doi:10.1109/tte.2019.2931123

Cited by 101 publications

(47 citation statements)

References 98 publications

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“…In both methods, an electrical dynamic model including the PWM modulator, the VSI and the non-linear IPMSM model are needed to simulate the electrical dynamic performances at given speed and torque references. It utilizes spatial harmonics based flux linkage and air gap radial force LUTs to consider the nonlinearity and slotting effect [5], [7], as shown in Figure 3. It can also be replaced with two way coupled simulation in the numerical method, which makes it even more computation resources demanding and time consuming.…”

Section: Analysis Methodology a Hybrid Noise Calculationmentioning

confidence: 99%

“…In the meanwhile, the high power density and complex magnetic circuits of IPMSMs bring potential acoustic noise problems, which is of particular interest in the EV industry [3], [4]. In order to predict the acoustic behaviour of the IPMSM accurately, different aspects affecting the dynamic performances have to be considered: the nonlinearity of the magnetic circuit, the mechanical dynamics of the stator and motor frame, and the pulse-width-modulation (PWM) of the voltage source inverter [1], [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

“…However, analytical models are difficult to obtain accurate results when electromagnetic nonlinearity and structural complexity are not negligible, which is the case for IPMSM. Numerical simulations are able to deliver accurate results considering real geometries and nonlinearity, but its computation time increases exponentially when the PWM switching is modelled [4], [5], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Acoustic Noise Analysis of Interior Permanent Magnet Synchronous Machine for Electric Vehicle Application

Son

Dong

Bauer

2020

2020 IEEE Transportation Electrification Conference &Amp; Expo (ITEC)

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This paper analyses the electromagnetic resulted acoustic noise of an interior permanent magnet synchronous machine (IPMSM). The influences of electromagnetic nonlinearity, pulse-width-modulation (PWM) and motor frame on the acoustic noise are considered. A finite element model is used to extract the look up tables (LUTs) of flux linkage and air gap electromagnetic force distributions as functions of rotor positions and excitation currents. Based on the generated LUTs, an electrical dynamic model is used to simulate stator current and air gap electromagnetic force waveforms considering PWM. Simulated forces are fed to a lumped parameter mechanical model to predict the acoustic noise of the IPMSM in a wide operation range. In the end, a structural method and a PWM based method are proposed to reduce the noise level of the IPMSM. Simulation results show changing the frame thickness and adopting a different PWM method can effectively mitigate the noisy operating points.

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Section: Analysis Methodology a Hybrid Noise Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Acoustic Noise Analysis of Interior Permanent Magnet Synchronous Machine for Electric Vehicle Application

Son

Dong

Bauer

2020

2020 IEEE Transportation Electrification Conference &Amp; Expo (ITEC)

Self Cite

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“…Whereas, as it was shown in Ref. [21], even 12/10 DSFSPM machine inherits better performances in comparison with a same size interior permanent magnet synchronous machine (IPMSM) with REPMs which is widely used in most electrical vehicles on the competitive EVs market [26].…”

Section: Finite Element Analysis and Performance Comparison Of Differmentioning

confidence: 99%

Analysis and optimization of a 12/14 double‐stator flux‐switching machine using low cost magnet

Sangdehi

Asadi

Abdollahi

et al. 2020

IET Electric Power Applications

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Flux‐switching permanent magnet (FSPM) machine attracted a great deal of attention for industrial applications owing to its high efficiency and high torque/power densities. However, on the downside, it suffers from high cost of rare‐earth permanent magnets (REPMs). Although employing ferrite magnets remarkably reduces the cost of material, ferrite magnet lower energy product will negatively affect the electromagnetic performance of this machine. As a solution, the double‐stator flux‐switching permanent magnet (DSFSPM) machine has been presented in this paper to improve the electromagnetic performance of a conventional ferrite based FSPM counterpart. In this regard, a new analytical approach followed by a brief discussion of the influence of rotor pole number on the electromagnetic performance of two DSFSPM machines with 10‐ and 14‐pole rotors are studied. It is shown that 12/14 DSFSPM machine with ferrite magnets generates almost 30% more developed torque than the other with 10‐pole rotor. Then, a comprehensive comparison on the electromagnetic performances of a 12/14 DSFSPM machine with ferrite magnets, and two 12/14 FSPM machines with REPMs and ferrite magnets are investigated by finite element method. Besides, a cost study highlights the monetary beneficial of the proposed 12/14 DSFSPM machine for the competitive EVs market. Furthermore, a laboratory scale 12/14 DSFSPM machine is designed based on analytical approach, optimized by Taguchi optimization method, and experimentally tested to validate both analytical and FEM results.

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“…Electric motors are widely used within the renewable energies context, and several studies have been published on the design of generators for wind power, wave power, hydropower and electric cars (EVs) [22,23].…”

Section: Introductionmentioning

confidence: 99%

Energies and Its Worldwide Research

et al. 2020

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Energy efficiency and management is certainly one of the key drivers of human progress. Thus, the trends in the energy research are a topic of interest for the scientific community. The aim of this study is to highlight global research trends in this field through the analysis of a scientific journal indexed exclusively in the energy and fuels category. For this purpose, a journal has been selected that is in the center of the category considering its impact factor, which is only indexed in this category and of open access, Energies of the publisher MDPI. Therefore, a bibliometric analysis of all the contents of the journal between 2008 and 2020, 13,740 documents published, has been carried out. Analyzing the articles that are linked to each other by their citations, 14 clusters or research topics have been detected: smart grids; climate change–electric energy community; energy storage; bioenergy sources; prediction algorithms applied to power; optimization of the grid link for renewable energy; wind power; sustainability of power systems; hydrocarbon improvements; conversion of thermal/electrical energy; electric motor advancements; marine renewable energy; hydropower and energy storage; and preventive techniques in power transformers. The main keywords found were electric vehicle, renewable energy, microgrid, smart grid, and energy efficiency. In short, energy research remains necessary to meet the future challenge of sustainable energy with high efficiency and the exploration of new renewable resources, all for increasingly sustainable cities.

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Modeling and Analysis of Electric Motors: State-of-the-Art Review

Cited by 101 publications

References 98 publications

Acoustic Noise Analysis of Interior Permanent Magnet Synchronous Machine for Electric Vehicle Application

Acoustic Noise Analysis of Interior Permanent Magnet Synchronous Machine for Electric Vehicle Application

Analysis and optimization of a 12/14 double‐stator flux‐switching machine using low cost magnet

Energies and Its Worldwide Research

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