Magnetic Field Modulation Motor Layout for High Torque Density

The patent removes the stator yoke portion from the motor structure, extracting the problematic component that caused magnetic field leakage. This extraction eliminates the source of energy loss while preserving the essential magnetization regulation function through alternative design means, thereby resolving the contradiction between torque flexibility and magnetic field utilization.

The patent segments the stator structure into modular components including armature teeth and modulating teeth, allowing independent optimization of each segment. This segmentation enables effective magnetic field regulation without requiring a continuous stator yoke, reducing magnetic leakage while maintaining torque adjustability through the modular tooth structures.

The patent employs preliminary computational optimization to determine the optimal spatial allocation of armature windings and permanent magnets before manufacturing. By performing design-stage optimization using algorithms that consider multiple objectives simultaneously, the patent achieves maximum torque density while maintaining manufacturing feasibility, resolving the contradiction between simplicity and performance.

The patent systematically varies key design parameters including winding pitch, magnet pole positions, and tooth dimensions to optimize the spatial relationship between armature windings and permanent magnets. Through parameter optimization, the patent achieves high torque density while maintaining practical manufacturability by identifying parameter combinations that balance performance and fabrication complexity.

The patent segments the optimization problem into hierarchical levels, separating design variables into different categories such as geometric parameters, magnetic parameters, and winding parameters. This segmentation allows the optimization algorithm to process variables in organized groups, reducing computational complexity while maintaining comprehensive optimization accuracy through systematic multi-level variable management.

The patent transforms the optimization problem by changing parameters into dimensionless forms or grouping them into composite parameters that reduce the total number of independent variables. This parameter transformation maintains the essential optimization relationships while significantly reducing computational complexity, enabling accurate optimization to be performed more efficiently.