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

Author

Listed:
  • Wei Chen

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

  • Jien Ma

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China
    China Academy of West Region Development, Zhejiang University, Hangzhou 310058, China)

  • Xiaoyan Huang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

  • Youtong Fang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

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.

Suggested Citation

  • Wei Chen & Jien Ma & Xiaoyan Huang & Youtong Fang, 2015. "Predicting Iron Losses in Laminated Steel with Given Non-Sinusoidal Waveforms of Flux Density," Energies, MDPI, vol. 8(12), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:12:p:12384-13740:d:59874
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    Citations

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    Cited by:

    1. Haonan Tian & Zhongbao Wei & Sriram Vaisambhayana & Madasamy Thevar & Anshuman Tripathi & Philip Kjær, 2019. "A Coupled, Semi-Numerical Model for Thermal Analysis of Medium Frequency Transformer," Energies, MDPI, vol. 12(2), pages 1-16, January.
    2. Michal Kaczmarek & Piotr Kaczmarek & Ernest Stano, 2023. "The Reference Wideband Inductive Current Transformer," Energies, MDPI, vol. 16(21), pages 1-13, October.
    3. Qing Yang & Peiyu Su & Yong Chen, 2017. "Comparison of Impulse Wave and Sweep Frequency Response Analysis Methods for Diagnosis of Transformer Winding Faults," Energies, MDPI, vol. 10(4), pages 1-16, March.
    4. Marek Gołębiowski & Lesław Gołębiowski & Andrzej Smoleń & Damian Mazur, 2020. "Direct Consideration of Eddy Current Losses in Laminated Magnetic Cores in Finite Element Method (FEM) Calculations Using the Laplace Transform," Energies, MDPI, vol. 13(5), pages 1-16, March.
    5. Michal Kaczmarek & Ernest Stano, 2023. "Challenges of Accurate Measurement of Distorted Current and Voltage in the Power Grid by Conventional Instrument Transformers," Energies, MDPI, vol. 16(6), pages 1-17, March.
    6. Roman Gozdur & Piotr Gębara & Krzysztof Chwastek, 2020. "A Study of Temperature-Dependent Hysteresis Curves for a Magnetocaloric Composite Based on La(Fe, Mn, Si) 13 -H Type Alloys," Energies, MDPI, vol. 13(6), pages 1-15, March.

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