Multi-magnetization optimization design and vibration-noise reduction of consequent-pole hybrid magnetic circuit memory motor

Abstract:

To address the challenges of electromagnetic characteristics regulation and vibration-noise suppression in memory motors, this paper proposes a novel composite topology structure. This design incorporates auxiliary slots in both the stator and rotor, utilizes NdFeB-AlNiCo hybrid permanent magnets to construct a dynamically reconfigurable magnetic circuit, and employs a segmented Halbach magnetization configuration. First, an equivalent magnetic circuit analytical model and a transient electromagnetic-mechanical coupled finite element model are established for the memory motor, enabling the derivation of analytical expressions for vibration and noise. Second, accounting for diverse performance requirements under multiple magnetization states, a hierarchical optimization strategy based on parametric sensitivity weighting is developed for extreme operating conditions. Using this method, the structural parameters of the proposed topology are optimized. Finally, multiphysics co-simulation integrating electromagnetic, structural, and acoustic domains is performed. Electromagnetic validation results demonstrate that the optimized motor maintains stable torque output characteristics across a wide flux-regulation range. Comparative studies reveal that compared to the baseline motor, the proposed design significantly enhances electromagnetic performance under multiple magnetization states while effectively suppressing peak vibration acceleration in stator teeth, reducing sound pressure levels, and achieving superior resonance frequency avoidance characteristics. This approach comprehensively optimizes the motors vibroacoustic behavior.