Magnetic conductivity initial value prediction method for improving motor finite element analysis and calculation efficiency

By establishing equivalent magnetic circuit models of the stator and rotor, predicting the magnetic field distribution and obtaining approximate permeability data, the problem of high computational cost caused by initial permeability deviation in motor finite element analysis is solved, and efficient and accurate finite element analysis is achieved.

CN121744787AActive Publication Date: 2026-03-27HARBIN INST OF TECH
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Patent Information

Application Number
CN202511953716.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-23
Publication Date
2026-03-27
Estimated Expiration
2045-12-23

AI Technical Summary

Technical Problem

In existing finite element analysis of motors, there is a significant deviation between the initial permeability and the actual permeability distribution under actual operating conditions. This results in a large number of iterative solutions, high computational resource and time costs, and makes it difficult to meet the needs of large-scale multi-objective optimization design.

Method used

By establishing equivalent magnetic circuit models for the stator and rotor sides, the magnetic field distribution is predicted and approximate permeability distribution data is obtained as the initial values ​​for the finite element model. The starting point is then optimized by combining the random forest regression model and the equivalent magnetic circuit model to iteratively solve the problem.

Benefits of technology

It significantly improves the computational efficiency of finite element analysis, reduces the number of calculations required for nonlinear iterative convergence, and ensures high accuracy while avoiding the generality defects of traditional methods in complex rotor topologies.

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Abstract

The invention discloses a magnetic conductivity initial value prediction method for improving motor finite element analysis and calculation efficiency, and belongs to the technical field of motor design and electromagnetic field numerical calculation. The problem of improving the solving speed of a motor finite element model is solved. The method comprises the steps of establishing a stator side equivalent magnetic circuit model; establishing a rotor side magnetic field distribution prediction model for predicting air gap magnetic field distribution under different rotor topological structures; constructing a rotor side equivalent magnetic circuit model based on air-gap magnetic field distribution under different rotor topological structures predicted by a rotor side magnetic field distribution prediction model, and then solving by combining the stator side equivalent magnetic circuit model and the obtained rotor side equivalent magnetic circuit model. And obtaining magnetic conductivity approximate distribution data of a motor iron core area as an initial value, substituting the initial value into the finite element model of the motor, and carrying out iterative solution to obtain a motor electromagnetic performance analysis result. The method effectively solves the problems that in traditional finite element analysis, due to blind setting of the initial magnetic conductivity, the number of non-linear iterations is large, and calculation time is long.
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