2020
DOI: 10.1109/tmag.2020.2982844
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Analytical Prediction of Halbach Array Permanent Magnet Machines Considering Finite Tooth Permeability

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Cited by 27 publications
(17 citation statements)
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“…More recently, various research groups have developed models including subdomains with a spatially variable permeability, thus reducing the number of domains required to simulate machine with slots or variable reluctances [26]- [30]. These models are based on the convolution therorem that allows considering complex space distribution of the magnetic permeability in the subdomains.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…More recently, various research groups have developed models including subdomains with a spatially variable permeability, thus reducing the number of domains required to simulate machine with slots or variable reluctances [26]- [30]. These models are based on the convolution therorem that allows considering complex space distribution of the magnetic permeability in the subdomains.…”
Section: Introductionmentioning
confidence: 99%
“…These models are based on the convolution therorem that allows considering complex space distribution of the magnetic permeability in the subdomains. Thanks to this method, it is possible to simply take into account the saturation of the magnetic circuit [27], [29] and numerous radial-flux topologies have been modelled in recent years [26], [30].…”
Section: Introductionmentioning
confidence: 99%
“…Few studies, such as the research by Zhang et al . [26], consider the finite permeability of the stator teeth. The analytical model can accurately describe the geometric topology of the machine as well as consider all the iron's nonlinearity without any hybrid approach, thus taking into account the magnetic saturation effect.…”
Section: Introductionmentioning
confidence: 99%
“…In 1979, physicist Klaus Halbach discovered a particular permanent magnet arraythe Halbach array [3][4][5]. Using a special magnet unit arrangement, field strength in the magnet unit direction increased.…”
Section: Introductionmentioning
confidence: 99%