一种感应电机材料结构一体化性能优化方法

By establishing an induction motor performance efficiency model and a multi-objective optimization algorithm, and combining copper alloy rotor material and stator-rotor structure, the materials and structure of the induction motor are optimized, solving the problem of limited performance improvement caused by single optimization in existing technologies, and realizing high power density and high efficiency induction motor performance.

CN116484665BActive Publication Date: 2026-07-17CHONGQING UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING UNIV
Filing Date
2023-03-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies often only consider one aspect of materials or structure when optimizing the performance of induction motors, failing to achieve multi-objective optimization and resulting in limited performance improvement.

Method used

An induction motor performance efficiency model based on electromagnetic field theory was established. Combining different copper alloy rotor materials and stator-rotor structural parameters, a multi-objective performance optimization model integrating induction motor materials and structure was constructed using Support Vector Regression (SVR) and Grey Wolf Optimization (GWO) algorithm to optimize parameters such as rotor slot combination and air gap length.

Benefits of technology

It achieves high power density and high efficiency of induction motors, improves motor starting performance and total loss performance, and optimizes the overall performance of materials and structure.

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Abstract

本发明公开了一种感应电机材料结构一体化性能优化方法来改善感应电机的性能。研究8种不同铜合金转子材料对感应电机损耗、起动性能和运行性能的影响,并选出其中最优的铜合金材料C10200,在此基础上分析定子和转子结构参数对感应电机性能的影响。采用支持向量回归SVR拟合感应电机结构参数与总损耗、基速和效率之间的关系模型,采用灰狼优化算法GWO优化支持向量回归SVR的超参数。以感应电机结构参数为决策变量,总损耗、基速和效率为优化目标,构建感应电机材料结构一体化多目标性能优化模型。
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