Computation of Core Losses in Electrical Machines Using Improved Models for Laminated Steel

Ionel, Dan M.; Popescu, Mircea; McGilp,; Miller, '; Dellinser,; Heideman,

doi:10.1109/ias.2006.256621

Cited by 53 publications

(80 citation statements)

References 16 publications

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“…Testing at high frequencies and flux densities requires high voltage as indicated in (9). The voltage requirement can be reduced by optimizing the number of turns and the area of the sample.…”

Section: -Turn Epstein Framementioning

confidence: 99%

New Epstein Frame for Core Loss Measurements at High Frequencies and High Flux Densities

Manyage

Pillay

2008

2008 IEEE Industry Applications Society Annual Meeting

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This paper presents a new Epstein frame capable of core loss measurements on laminations subjected to high frequencies and high flux densities. The lamination characterization at high frequencies and high flux densities is mandatory in loss calculation procedure for high speed novel designs. The new 200-turn frame is compared with the 352-turn industrial standard frame and the recently developed 280-turn frame. The 200-turn frame core loss results show the ability of the frame to reach higher flux densities than the other two frames. The 280-turn frame core loss results have also been extended from 1 kHz to 6 kHz.

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Section: -Turn Epstein Framementioning

confidence: 99%

New Epstein Frame for Core Loss Measurements at High Frequencies and High Flux Densities

Manyage

Pillay

2008

2008 IEEE Industry Applications Society Annual Meeting

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“…This is a reasonable assumption for motors with distributed winding configurations, as is the case for the 48-slot 8-pole motor. The frequency domain core loss model introduced in [22] is utilized for calculation of the stator core losses.…”

Section: Performance Metricsmentioning

confidence: 99%

Large-scale electromagnetic design optimization of PM machines over a target operating cycle

Fatemi

Demerdash

Ionel

et al. 2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

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A novel automated design algorithm for applicationbased optimization of permanent magnet (PM) machines is presented in this paper. The proposed algorithm features precise performance evaluation of the potentially heavily saturated machines at high-energy-throughput operating zones using finite element (FE) techniques. First, the energy consumption function associated with the machine's operating cycle is efficiently modeled by a number of representative load points using a kmeans clustering algorithm. Subsequently, a new approach is developed to assess the performance of the machine at each representative load point with proper control to conform to practical operational constraints imposed by voltage and current limits of the motor-drive system. The developed algorithm is applicable to the optimization of any configuration of PM and synchronous reluctance motors over any conceivable operating cycle. Its effectiveness is demonstrated by optimizing the wellestablished reference/benchmark design represented by the 2004 Toyota Prius IPM motor configuration over a compound operating cycle consisting of common US driving schedules. I. INTRODUCTIONDepending on the particular application, the design optimization methods of electric machines [1-7] aim at realizing a set of objectives under certain performance constraints described in the optimization fitness function. Regardless of the type of motor and the objectives/constraints under which the optimization is performed, whether optimizing for constant torque [6] or constant power [7] operations, the automated design techniques evaluate the associated fitness function at the rated torque and base speed. However, in many applications the optimized motor is to operate with variable frequency drives at various load operating points. A case of particular concern pointed out by numerous studies [8][9][10][11] is in traction applications, where the motor is most likely to operate far away from its rated torque and nominal speed. This is whereas the correlation between the main design variables and motor performance metrics, can be significantly affected by the machine's level of ampere loading and magnetic core saturation [12]. This accentuates the challenges in the design of electric motors with intermittent operating cycles where an optimal design is to maintain high performance under various loading conditions.In previous attempts [10,11], a method known as the cyclic representative points was proposed for efficient modeling of

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“…Core loss density is described by the symbol ('). In order to find an appropriate transient model for core loss, classical frequency-based approaches of Steinmetz and its extensions [2][3][4][5][6][7], considering elliptical magnetization, minor hysteresis loops, and harmonics, provide a basis for further investigation. Both loss components are dependent on flux density B and frequency f, as shown in (2) and (3).…”

Section: Transient Core Loss Modeling Using Finite Element Softwarementioning

confidence: 99%

Dynamic modeling of losses in electrical machines for active loss control

Quattrone

Lorenz

2012

2012 IEEE Energy Conversion Congress and Exposition (ECCE)

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This paper presents a dynamic core loss model for active loss control of permanent magnet synchronous machines. Deadbeat-direct torque and flux control (DB−DTFC) enables direct control of torque and stator flux linkage over each switching period. Total machine loss can be minimized by selecting the optimal flux level in every sampled time instant. Reliable models for dynamic copper and core loss are an essential requirement for this optimizing task. This paper presents an analytical dynamic core loss model in switching period time-domain, using stator flux linkage as the manipulated input variable. Combining numerical and analytical calculation methods is used to create an easy and practical approach to estimate core loss components based on stator flux linkage without running FEA calculations for every time instant. Additional effects like high frequency eddy current loss in electrically conducting permanent magnets as well as spatial harmonic content are taken into account.

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Computation of Core Losses in Electrical Machines Using Improved Models for Laminated Steel

Cited by 53 publications

References 16 publications

New Epstein Frame for Core Loss Measurements at High Frequencies and High Flux Densities

New Epstein Frame for Core Loss Measurements at High Frequencies and High Flux Densities

Large-scale electromagnetic design optimization of PM machines over a target operating cycle

Dynamic modeling of losses in electrical machines for active loss control

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