FEA-based method for estimating PM demagnetization in electrical motor design: Development and experimental validation

Akinaga, T. H.; Staudt, Tiago; Silva, P. Ely da; Espindola, A. A.

doi:10.1109/icelmach.2016.7732760

Cited by 4 publications

(5 citation statements)

References 8 publications

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“…Therefore, to investigate the ID it as necessary to heat the rotor and PMs. But, in [106], The experimental tests have been performed in a Ferrite BLDC motor and test temperature has been controlled at −20 • C to be consistent with the PM curve used in the ID analysis. Fig.…”

Section: Experimental Analysismentioning

confidence: 99%

The Demagnetization Phenomenon in PM Machines: Principles, Modeling, and Design Considerations

2023

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Permanent Magnet (PM) machines have attracted much attention due to their high powertorque density, high efficiency, high dynamic response performance, high power factor, and simple structure. Even though there are some uncertainties about their reliable chain supply, PM machines still are the first choice for high-performance applications. Therefore, paying attention to the development and improvement of the performance of these types of electric machines is of great importance. One of the challenges of the PM machines is their vulnerability to Irreversible Demagnetization (ID), especially for applications such as Electric Vehicles (EV), in which the working temperature and Magnetic Motive Force (MMF) produced by stator winding are higher than in conventional applications. Therefore, the ID phenomenon must be regarded as a leading design and control parameter for PM machine designers. The ID can be defined as an irreversible reduction of the remnant flux density of the PM or the EMF of the PM machine due to severe temperature conditions, high external Demagnetization Field (DF), or non-proper design of PM machines, resulting in degradation in performance of the PM machines. The lack of a good source that gives a deep inside into this phenomenon in designing and developing PM machines encourages the author to conduct a comprehensive literature review. For proper design of the PM machines in terms of ID, it is necessary to consider four critical steps, i.e.: (a) accurate non-linear modelling of the PM demagnetization curve, (b) analytical model taking into account local ID, (c) geometry optimization methods targeting ID, (d) accurate experimental testing to evaluate the ID fault-tolerant capability of the manufactured PM machines. In this paper, the above four aspects are surveyed exclusively, and the advantages and disadvantages of the existing methods in these areas are highlighted. Furthermore, design tips towards the design of ID fault-tolerant PM machines and other research opportunities to enhance the reliability of PMs machines are also presented.

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Section: Experimental Analysismentioning

confidence: 99%

The Demagnetization Phenomenon in PM Machines: Principles, Modeling, and Design Considerations

2023

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“…Furthermore, a demagnetization constraint is considered. The magnets magnetic field H pm is calculated assuming two times the current value with a current angle of 90°elec which reflects a phase opposition between the stator the rotor fluxes [24]. The demagnetization condition assures that H pm is below the intrinsic coercive magnetic field of the ferrite magnets H cJ at the ambient temperature.…”

Section: A Optimization Problemmentioning

confidence: 99%

Multiphysics Design of a V-Shape IPM Motor

Akiki

Hage-Hassan

Bensetti

et al. 2018

IEEE Trans. Energy Convers.

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In this paper a multi-physics model is proposed for a multi-V-shape Interior Permanent Magnet (IPM) motor with concentrated winding. This work develops a non-linear magnetic model that computes the flux density in the motor. The analytical model includes several novel aspects: it takes into account the local saturation near the iron bridges, it proposes a method for modeling the concentrated tooth winding, it calculates the slot tangential leakage flux and includes it in the flux linkage calculation. The magnetic model is coupled with an electrical model that computes the power factor and the voltage at the motor terminals. A loss model is developed in order to calculate the copper and the iron losses. They are used as inputs to a nodal thermal model that introduces a thermal circuit for concentrated end-winding and computes the temperature of the motor. A mechanical model is developed. It evaluates the mechanical constraints encountered by the structure. The models are verified using finite element computations and numerical calculations performed with dedicated software. Besides, the coupled analytical model is experimentally validated using a prototype motor. Finally, two multi-physics bi-objective optimizations are carried out in order to design the motor for high torque and low speed application.

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“…Equation 15is applied to the stator teeth (Pst) and to the yoke (Psy) to calculate the total iron losses in the stator. The parameters kH, αir, kEC, γ and kEXC are determined by fitting the losses calculated using (15) to the manufacturer's data. The parameters obtained for the M400P50 sheet steel, used in this design, are reported in TABLE II.…”

Section: A Copper Lossesmentioning

confidence: 99%

“…Furthermore, a demagnetization constraint is considered. The magnets magnetic field Hpm is calculated assuming two times the current value with a current angle of 90°elec which reflects a phase opposition between the stator the rotor fluxes [15]. The demagnetization condition assures that Hpm is below the intrinsic coercive magnetic field of the magnets HcJ.…”

Section: A Optimization Problemmentioning

confidence: 99%

Multi-physics modeling and optimization of a multi-V-shape IPM with concentrated winding

Akiki

Hage-Hassan

Dessante

et al. 2017

2017 IEEE International Electric Machines and Drives Conference (IEMDC)

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In this paper a coupled multi-physics model is proposed for a multi-V-shape Interior Permanent Magnet (IPM) motor with concentrated winding. A non-linear magnetic model computes the flux density in the stator and the rotor and delivers the torque, the internal power factor and the internal voltage. It is coupled with an electrical model that computes the power factor and the voltage at the motor terminals by considering the resistance and the leakage inductance. A loss model is developed in order to calculate the copper and the iron losses. They are used as inputs to a thermal model that computes the temperature of the motor. Finally, a multi-objective optimization is carried out in order to design the motor for a high torque and low speed application.

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FEA-based method for estimating PM demagnetization in electrical motor design: Development and experimental validation

Cited by 4 publications

References 8 publications

The Demagnetization Phenomenon in PM Machines: Principles, Modeling, and Design Considerations

The Demagnetization Phenomenon in PM Machines: Principles, Modeling, and Design Considerations

Multiphysics Design of a V-Shape IPM Motor

Multi-physics modeling and optimization of a multi-V-shape IPM with concentrated winding

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