Iron-Loss Model With Consideration of Minor Loops Applied to FE-Simulations of Electrical Machines

Steentjes, Simon; Pfingsten, Georg von; Hombitzer, Marco; Hameyer, Kay

doi:10.1109/tmag.2013.2244072

Cited by 61 publications

(45 citation statements)

References 5 publications

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“…To include these effects, the loss contributions of (1) are extended to: with B max the maximum value of the flux density during one period, B n the amplitude of the n-th harmonic component of the magnetic flux density, n the order of harmonic, f the fundamental frequency, and the material specific parameters ", a 1 -a 5 . This model (3-6) is validated in [9,20] and will be used to analyse the iron losses in the studied IPMSM.…”

Section: Prediction Of Iron Lossesmentioning

confidence: 99%

“…Based on the local magnetic flux density distribution the iron-losses are calculated according to (9)(10)(11)(12). Finally, combining the modeled iron losses with additional losses (copper, air friction, bearing, …), the operation point of the machine is calculated in line with the used control strategy, i.e., maximum-torque-per-ampere (MTPA) or maximum-torque-per-voltage (MTPV).…”

Section: Machine Simulation Schemementioning

confidence: 99%

“…In addition, parasitic loss inducing effects, particularly occurring in electrical machines, such as higher harmonics, dc-biased magnetizations and rotational fields need to be taken into account [6,9].…”

Section: Introductionmentioning

confidence: 99%

“…Although the losses dissipated in the rotor make a small contribution of the overall losses, they have to be analysed in particular because of the influence of temperature on the permanent magnets. Depending on the operating point, the rotor hysteresis losses make a significant share in the rotor iron losses [9]. This paper presents a methodology being able to distinguish between different loss mechanisms and enables to individually consider particular loss mechanisms in the model of the electrical motor.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Operating point resolved loss computation in electrical machines

Pfingsten¹,

Ruf²,

Steentjes³

et al. 2016

Archives of Electrical Engineering

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Magnetic circuits of electromagnetic energy converters, such as electrical machines, are nowadays highly utilized. This proposition is intrinsic for the magnetic as well as the electric circuit and depicts that significant enhancements of electrical machines are difficult to achieve in the absence of a detailed understanding of underlying effects. In order to improve the properties of electrical machines the accurate determination of the locally distributed iron losses based on idealized model assumptions solely is not sufficient. Other loss generating effects have to be considered and the possibility being able to distinguish between the causes of particular loss components is indispensable. Parasitic loss mechanisms additionally contributing to the total losses originating from field harmonics, non-linear material behaviour, rotational magnetizations, and detrimental effects caused by the manufacturing process or temperature, are not explicitly considered in the common iron-loss models, probably even not specifically contained in commonly used calibration factors. This paper presents a methodology being able to distinguish between different loss mechanisms and enables to individually consider particular loss mechanisms in the model of the electric machine. A sensitivity analysis of the model parameters can be performed to obtain information about which decisive loss origin for which working point has to be manipulated by the electromagnetic design or the control of the machine.

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Section: Prediction Of Iron Lossesmentioning

confidence: 99%

Section: Machine Simulation Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Operating point resolved loss computation in electrical machines

Pfingsten¹,

Ruf²,

Steentjes³

et al. 2016

Archives of Electrical Engineering

Self Cite

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show abstract

“…Recently, a modern distinguished iron loss formulation known as institute of electrical machines formula (IEM-Formula) by Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University in Germany has been proposed in order to deal with an advanced iron loss estimation on nonlinear materials such as soft magnetic materials for electrical machines [1][2][3]. The proposed IEM-Formula needed to be evaluated under field weakening conditions because the field weakening capability plays a significant role in the iron loss prediction of permanent magnet synchronous machines (PMSMs) over a wide range of speed, particularly at high speeds.…”

Section: Introductionmentioning

confidence: 99%

Iron Loss Prediction Using Modified IEM-Formula during the Field Weakening for Permanent Magnet Synchronous Machines

2017

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During field weakening operation time (FWOT), the total iron loss rises and affects the accuracy of loss prediction and efficiency, especially if a large range of FWOT exists due to a large voltage drop that was rooted from the resistance of the used material. Iron loss prediction is widely employed in investigations for a fast electrical machine analysis using 2D finite element analysis (FEA). This paper proposes harmonic loss analytically by a steady-state equivalent circuit with a novel procedure. Consideration of skin effects and iron saturation are utilized in order to examine the accuracy through the relative error distribution in the frequency domain of each model from 50 to 700 Hz. Additionally, this comparative study presents a torque-frequency-field density calculation over each single term of the modified institute of electrical machines formula (IEM-Formula). The proposed analytical calculation is performed using 2D FEA for a classic and modified IEM-Formula along with experimental verifications on a surface-mounted permanent magnet synchronous generator (PMSG) for a wind generation application.

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An Analytical Core Loss Admittance Calculating Method and an Equivalent Circuit Modeling Method of Induction Motors Fed by Converter Considering Space-Time Harmonics

Jiang

Zhang

et al. 2021

The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering

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Iron-Loss Model With Consideration of Minor Loops Applied to FE-Simulations of Electrical Machines

Cited by 61 publications

References 5 publications

Operating point resolved loss computation in electrical machines

Operating point resolved loss computation in electrical machines

Iron Loss Prediction Using Modified IEM-Formula during the Field Weakening for Permanent Magnet Synchronous Machines

An Analytical Core Loss Admittance Calculating Method and an Equivalent Circuit Modeling Method of Induction Motors Fed by Converter Considering Space-Time Harmonics

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