Iron loss under PWM voltage supply on Epstein frame and in induction motor core

Kaczmarek, Robert; Amar, M.; Protat, F.

doi:10.1109/20.477571

Cited by 61 publications

(26 citation statements)

References 15 publications

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“…Undoubtedly, there are other models for iron losses which may result in more accurate predictions [14], [15], [16]. The model represented by the above was chosen because of its reasonable accuracy and invaluable experience gained in the past [9], [17].…”

Section: A Iron Loss Modelmentioning

confidence: 99%

Assessment of power losses of an inverter-driven induction machine with its experimental validation

Hernandez-Aramburo

Green

Smith

2003

IEEE Trans. on Ind. Applicat.

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Abstract-Detailed power loss distribution in induction machines is assessed using time-stepped finite-element analysis coupled to circuit equations of an inverter. Losses are examined for various load conditions. Iron losses are largely unexplored and so particular attention is paid to them here. The simulation has revealed the division between ohmic, hysteresis, classic eddy-current, and anomalous losses; and the distribution in the frequency spectrum between fundamental, slotting, and multiples of the switching frequency. Insight is also gained into the spatial location of the loss. Experimental validation is provided for several fundamental frequencies from full-load to light-load conditions. Index Terms-Efficiency, finite element (FE), inverter-driven induction machines, iron losses, power losses, variable-speed drives.

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Section: A Iron Loss Modelmentioning

confidence: 99%

Assessment of power losses of an inverter-driven induction machine with its experimental validation

Hernandez-Aramburo

Green

Smith

2003

IEEE Trans. on Ind. Applicat.

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“…When a small induction motor is driven by a typical PWM voltage supply its laminated stator core is subjected to additional magnetic losses due to highly different magnetisation process with respect to sine wave [1]. Several investigations have been carried out to determine iron loss increase in electrical steels under PWM excitation using standard measurement techniques [2,3]. In these investigations, the Epstein square has primarily been used for assessing a magnetic material under PWM or similar voltage excitations.…”

Section: Introductionmentioning

confidence: 99%

Localised losses in stator laminations of an induction motor under PWM excitation

Moses

Tutkun

2005

Journal of Materials Processing Technology

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“…The use of pulse width modulation (PWM) and non-linear loads results in a difficulty in iron loss prediction in magnetic materials. Although many models, which are based on physical or numerical methods [1][2][3][4][5][6][7][8][9], have been proposed by different researchers, predicting iron losses in magnetic materials, when a non-sinusoidal voltage excitation is applied, has not yet been entirely solved and is still an open research field.…”

Section: Introductionmentioning

confidence: 99%

“…iGSE combines the idea of the MSE and GSE methods. Some variability and correlation of the loss coefficients are introduced, including a form factor [5,6] and equivalent frequency [12,13] coefficients for PWM excitations and a three-order polynomial representation of the hysteresis-loss multiplicative coefficient [4,14,18]. Research papers pointed out that iron loss prediction should depend on frequency, magnitude, change rate and historical values of flux density, as well as other factors.…”

Section: Introductionmentioning

confidence: 99%

Predicting Iron Losses in Laminated Steel with Given Non-Sinusoidal Waveforms of Flux Density

Chen

Huang

et al. 2015

Energies

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Abstract:In electrical machines, iron losses are essential for electromagnetic and thermal designs and analyses. Although many models have been proposed to predict iron losses in magnetic materials, the calculation of iron losses under non-sinusoidal excitations is still an open field. Most works concern the influences of the value, the change rate or the frequency of flux density in the frequency domain. In this paper, we propose an engineering model for predicting loss characteristics with given waveforms of flux density in the time domain. The characteristics are collected from the knowledge of the iron loss in a laminated ring-shaped transformer. In the proposed model, we derive mathematical formulas for exciting currents in terms of flux density by describing the function methods through multi-frequency tests with sinusoidal excitations. The non-linearity of the material is interpreted by branches of conductances accounting for hysteresis and eddy-current losses. Then, iron losses are calculated based on the law of conservation of energy. An experimental system was built to evaluate the magnetic properties and iron losses under sinusoidal and non-sinusoidal excitations. Actual measurement results verify the effectiveness of the proposed model.

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Iron loss under PWM voltage supply on Epstein frame and in induction motor core

Cited by 61 publications

References 15 publications

Assessment of power losses of an inverter-driven induction machine with its experimental validation

Assessment of power losses of an inverter-driven induction machine with its experimental validation

Localised losses in stator laminations of an induction motor under PWM excitation

Predicting Iron Losses in Laminated Steel with Given Non-Sinusoidal Waveforms of Flux Density

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