2018
DOI: 10.1109/tmag.2018.2850317
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Analysis and Optimization of Cogging Torque in Yokeless and Segmented Armature Axial-Flux Permanent-Magnet Machine With Soft Magnetic Composite Core

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Cited by 37 publications
(17 citation statements)
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“…Di Gerlando et al studied and optimized the size of YASA-type AFPM motor to further reduce the additional power loss and improve the working efficiency of the motor [39]. Xu et al investigated and optimized the cogging torque of the YASA motor with SMC core [40]. Concretely, the structure of YASA motor was with 10 poles and 12 slots, and the stator cores were made of SMC material, while the rotors were made of solid magnetic material.…”
Section: Topological Structures Of Axial-flux Permanent-magnet Motorsmentioning
confidence: 99%
“…Di Gerlando et al studied and optimized the size of YASA-type AFPM motor to further reduce the additional power loss and improve the working efficiency of the motor [39]. Xu et al investigated and optimized the cogging torque of the YASA motor with SMC core [40]. Concretely, the structure of YASA motor was with 10 poles and 12 slots, and the stator cores were made of SMC material, while the rotors were made of solid magnetic material.…”
Section: Topological Structures Of Axial-flux Permanent-magnet Motorsmentioning
confidence: 99%
“…The stator shoe width determines the width of the stator slot, thereby affecting the variation of air-gap permeance, and thus the cogging torque and flux leakage. The two parameters of a SMC-based YASA motor are analysed in [60] with respect to the cogging torque and open-circuit back-EMF. A minimum cogging torque is achieved by a proper adjustment of the magnet pole-arc ratio and stator shoe width, with no penalty on the rated torque.…”
Section: Design Parametersmentioning
confidence: 99%
“…The response surface analysis is an experiment-based optimization method, which can express the response of the system in the form of mathematical model through specific experimental design and analysis of experimental results [18], and then through analyzing the mathematical model, optimization in the design can be achieved. In this paper, the power density of the motor is the "response" in the response surface model and the thickness of the stator yoke, the thickness of the rotor yoke and relative magnet span are three factors in the response surface model.…”
Section: Construction Of Response Surface Modelmentioning
confidence: 99%