Analytical Computation of the Magnetic Field Distribution in a Magnetic Gear

Lubin, Thierry; Mezani, Smaïl; Rezzoug, A.

doi:10.1109/tmag.2010.2044187

Cited by 144 publications

(99 citation statements)

References 14 publications

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“…According to the formula (14), when the stator is divided into 6 segments and n is 1, the best value of shifting angle is 3° (mechanical degree). Fig.…”

Section: Weaken Cogging Torquementioning

confidence: 99%

See 1 more Smart Citation

A Novel Method of Reducing the Cogging Torque in SPM Machine with Segmented Stator

Jing¹,

Liu²,

Qu³

et al. 2017

Journal of Electrical Engineering and Technology

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-The method of stator segmentation is generally taken to enhance the electromagnetic performance of surface-mounted permanent magnet (SPM) machine and reduce its production cost. Based on the model with single slot, the expressions of cogging torque in machine with uniform or non-uniform segmentations are deduced and the optimal combination is given. Moreover, this paper discusses a structured skewing method and put forward a novel stator structure model to reduce the cogging torque in segmented permanent magnet machine. The model can reduce the cogging torque amplitude by shifting a proper angle of slot-opening. The shifting angle formula for analysis can also be suitable for other permanent machine with segmented stator. Finally the results of finite element simulation are given to prove that the method is effective and feasible.

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“…According to the formula (14), when the stator is divided into 6 segments and n is 1, the best value of shifting angle is 3° (mechanical degree). Fig.…”

Section: Weaken Cogging Torquementioning

confidence: 99%

“…Due to the manufacturing limits, the additional air gap, even the nonuniform air gap will exists in the process of segmentation, which may have a significant impact on the cogging torque. Literatures [14][15] have a detailed introduction about that, so this article is no longer to repeat.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method of Reducing the Cogging Torque in SPM Machine with Segmented Stator

Jing¹,

Liu²,

Qu³

et al. 2017

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

show abstract

“…As shown in Fig. 1, the ideal model can be divided into five subdomains including the inner gap field, the outer gap field, the inner-rotor permanent magnet, the outer-rotor permanent magnet, and the modulating ring [14][15].…”

Section: Mathematical Modelsmentioning

confidence: 99%

Optimization Design of Magnetic Gear Based on Genetic Algorithm Toolbox of Matlab

Jing¹,

Luo²,

Liu³

et al. 2016

Journal of Electrical Engineering and Technology

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-Concentric magnetic gear (CMG) is a transmission gear with a novel structure and a promising prospect. However, the calculation of its electromagnetic field is more complicated. In this paper, an exact analytical method is used to calculate the magnetic field distribution and electromagnetic torque. The genetic algorithm optimization toolbox of matlab (GAOT) provides a good tool for its optimization design. The optimization results show that the genetic algorithm is practicable and effective, and provide a new approach for the analysis and design of the concentric magnetic gear. It is significant for the research and application of the concentric magnetic gear.

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“…In [17][18][19][20], the stator slotting effect on the magnetic-field distribution is considered, which is critical for the accurate calculation of the cogging torque and PM eddy losses, etc. In [21][22][23][24], a 2-D analytical model has been proposed for the magnetic gear, where the modulation effect on the magnetic-field distribution can be evaluated. For the axial MFM-BDRM, magnetic-field distribution is more complicated with the co-existence of the stator slots and the modulating ring.…”

Section: Analytical Modelingmentioning

confidence: 99%

Analytical Investigation of the Magnetic-Field Distribution in an Axial Magnetic-Field-Modulated Brushless Double-Rotor Machine

et al. 2016

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Abstract:The axial magnetic-field-modulated brushless double-rotor machine (MFM-BDRM) is a novel possible alternative power-split device for hybrid electric vehicles (HEVs). This paper proposes a two-dimensional (2-D) analytical method to predict the performance of the axial MFM-BDRM to reduce computing time. The computation is based on the solution of Laplace's or Poisson's equation with boundary conditions for each elementary rectangular region. By taking account of the existence of modulating ring and the stator slotting effect, the proposed model is able to calculate magnetic-field distribution with high accuracy. In order to assess the proposed method, the 2-D analytical and three-dimensional (3-D) finite element analysis (FEA) results have been compared, and good agreements have been achieved. As the analytical computation is much faster and more flexible, the proposed method can be used in the preliminary design process of the axial MFM-BDRM.

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Analytical Computation of the Magnetic Field Distribution in a Magnetic Gear

Cited by 144 publications

References 14 publications

A Novel Method of Reducing the Cogging Torque in SPM Machine with Segmented Stator

A Novel Method of Reducing the Cogging Torque in SPM Machine with Segmented Stator

Optimization Design of Magnetic Gear Based on Genetic Algorithm Toolbox of Matlab

Analytical Investigation of the Magnetic-Field Distribution in an Axial Magnetic-Field-Modulated Brushless Double-Rotor Machine

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