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Title
The composite improved generalized steinmetz equation (ciGSE): an accurate model combining the composite waveform hypothesis with classical approachesAuthor (from another institution)
xmlui.dri2xhtml.METS-1.0.item-contributorOtherinstitution
https://ror.org/012a91z28Version
http://purl.org/coar/version/c_ab4af688f83e57aa
Rights
© 2024 IEEEAccess
http://purl.org/coar/access_right/c_abf2Publisher’s version
https://doi.org/10.1109/TPEL.2023.3323577Published at
IEEE Transactions on Power Electronics Vol. 39. N. 1xmlui.dri2xhtml.METS-1.0.item-publicationfirstpage
1162xmlui.dri2xhtml.METS-1.0.item-publicationlastpage
1173Publisher
IEEEKeywords
Core loss
Magnetic cores
Mathematical models
Magnetic flux ... [+]
Magnetic cores
Mathematical models
Magnetic flux ... [+]
Core loss
Magnetic cores
Mathematical models
Magnetic flux
Databases
Power electronics
Magnetic separation [-]
Magnetic cores
Mathematical models
Magnetic flux
Databases
Power electronics
Magnetic separation [-]
Abstract
Predicting core losses is a difficult task for designing magnetic components. Under triangular current waveforms the classical approaches work with duty cycles close to 0.5 but are inaccurate for high ... [+]
Predicting core losses is a difficult task for designing magnetic components. Under triangular current waveforms the classical approaches work with duty cycles close to 0.5 but are inaccurate for high and low duty cycles. In this work, the composite waveform hypothesis is tested, using data from the MagNet database for N87 material at 25 °C (3312 data points). Limitations of the composite waveform hypothesis are discussed and a technique to expand the loss space is presented. The new approach based in an extended loss space is validated against the classical improved Generalized Steinmetz Equation, reducing the root mean square and 95 percentile errors by 5.85 and 6.96 times, allowing to predict core losses accurately even at high and low duty cycles. A direct correlation between the expanded loss space and the Steinmetz parameters from the improved Generalized Steinmetz Equation is proven, allowing to represent the core losses as functions of these parameters and generating the composite improved Generalized Steinmetz Equation. The proposed methodology for core loss prediction is validated making use of all data available from the MagNet database (10 materials, 4 temperatures, 59 423 data points), achieving better results than the commonly used improved Generalized Steinmetz Equation. [-]
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