一种考虑空载情况下的基于变密度法的电机拓扑优化方法

By using a motor topology optimization method based on the variable density method, the computational complexity and edge jaggedness problems of the motor under no-load conditions are solved, and the smooth boundary design and performance optimization of the motor structure are realized, which meets the multi-physics optimization requirements of the motor under no-load conditions.

CN118965882BActive Publication Date: 2026-07-17HUNAN UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUNAN UNIV
Filing Date
2024-07-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing motor topology optimization methods suffer from computational complexity and jagged edges when considering no-load conditions, leading to increased manufacturing difficulty and difficulty in effectively handling complex operating conditions with multiple physics fields.

Method used

A motor topology optimization method based on the variable density method is adopted. By constructing a multiphysics material property interpolation model and combining sensitivity analysis and moving asymptote method (MMA) optimization solution, a topology optimization model under no-load condition is constructed, which solves the requirements of lightweight, high performance and high efficiency of motor structure.

Benefits of technology

A smooth boundary design for the motor structure was achieved, which improved the accuracy of motor performance calculation and manufacturing feasibility, and met the multi-physics field optimization requirements of the motor under no-load conditions.

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Abstract

本发明隶属于电机拓扑优化设计领域,具体涉及一种通过空载性能计算与变密度法,实现内置永磁电机空载性能与输出能力提升的电机拓扑优化方法。本发明基于变密度法的转子结构进行优化设计,本方法以转子硅钢材料为设计域;以齿槽转矩方差为目标,同时利用离散傅里叶分析技术和冻结磁导率技术,分别构建关于磁链与凸极比的约束条件,建立空载情况下的拓扑优化模型。通过利用变密度法求解极值问题时基于梯度算法和智能生成孔洞方面的优势,实现结构的智能演化以及验证带载时的电磁性能。同时,利用水平集后处理技术解决数值不稳定引起的电磁性能计算问题,从而保证电磁性能计算的准确性。
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