TY - GEN
T1 - Cogging torque optimization of axial flux motor for flywheel energy storage
AU - Zhang, Wei
AU - Yan, Zuoguang
AU - Huang, Mengting
AU - Dou, Chujie
AU - Wu, Shaopeng
N1 - Publisher Copyright:
© 2025 Korean Institute of Electrical Engineers Electrical Machinery and Energy Conversion Systems Society.
PY - 2025
Y1 - 2025
N2 - Axial flux motors with amorphous alloy stator cores are very suitable for flywheel energy storage systems due to their high efficiency and high power density. The study aims to weaken the cogging torque in yokeless and segmented armature (YASA) axial flux motor with amorphous alloy, exploring efficient optimization measures. First, the theoretical expression for the cogging torque of an amorphous alloy stator yokeless modular axial flux motor was derived. Meanwhile, the three-dimensional finite element model was established to compare and analyze the suppression effects of traditional skew permanent magnets and reverse skew stator shoes, shifted permanent magnets, and reverse skew permanent magnets on cogging torque. Finally, the motor cogging torque is optimized based on the response surface model and multi-objective genetic algorithm(MOGA), and the feasibility of the proposed optimization method is further verified by the finite element method. The results show that by reasonably adopting the three proposed measures for weakening the cogging torque of YASA motor, the cogging torque can be effectively weakened and the no-load back electromotive force harmonic distortion rate of the motor can be improved.
AB - Axial flux motors with amorphous alloy stator cores are very suitable for flywheel energy storage systems due to their high efficiency and high power density. The study aims to weaken the cogging torque in yokeless and segmented armature (YASA) axial flux motor with amorphous alloy, exploring efficient optimization measures. First, the theoretical expression for the cogging torque of an amorphous alloy stator yokeless modular axial flux motor was derived. Meanwhile, the three-dimensional finite element model was established to compare and analyze the suppression effects of traditional skew permanent magnets and reverse skew stator shoes, shifted permanent magnets, and reverse skew permanent magnets on cogging torque. Finally, the motor cogging torque is optimized based on the response surface model and multi-objective genetic algorithm(MOGA), and the feasibility of the proposed optimization method is further verified by the finite element method. The results show that by reasonably adopting the three proposed measures for weakening the cogging torque of YASA motor, the cogging torque can be effectively weakened and the no-load back electromotive force harmonic distortion rate of the motor can be improved.
KW - Flywheel energy storage
KW - amorphous alloy stator
KW - cogging torque
KW - response surface model
KW - yokeless and segmented armature (YASA) motor
UR - https://www.scopus.com/pages/publications/105032915341
U2 - 10.23919/ICEMS66262.2025.11317000
DO - 10.23919/ICEMS66262.2025.11317000
M3 - 会议稿件
AN - SCOPUS:105032915341
T3 - ICEMS 2025 - 28th International Conference on Electrical Machines and Systems
SP - 18
EP - 23
BT - ICEMS 2025 - 28th International Conference on Electrical Machines and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th International Conference on Electrical Machines and Systems, ICEMS 2025
Y2 - 16 November 2025 through 19 November 2025
ER -