Permanent magnet motor optimization design method considering disturbance type design variable intervals

Abstract

The invention discloses a permanent magnet motor optimization design method considering disturbance type design variable intervals in the field of motor optimization design. Firstly, design variables of a permanent magnet motor are constructed, corresponding optimization objects, optimization models and constraint conditions are determined, then initial intervals of the design variables are determined, optimal disturbance intervals of the design variables are determined by the aid of the constraint conditions, finally, optimal values of the design variables and optimal values of the optimization objects are obtained through joint simulation of software, and final optimization models are obtained. The method aims to solve the problem of disturbance of the design variable optimization intervals in the determination process and considers the problems of the effect of initial intervals with larger design variables on optimization efficiency and the accuracy of design variable results, through limitation on the constraint conditions, the optimal intervals of the design variables are determined, multiple optimization objects are weighed by the constructed optimization models, so that comprehensive optimal solutions are obtained, the design cycle is shortened, the design cost is reduced, and the method has the advantages of being simple to operate and effective in work.

Description

technical field [0001] The invention relates to the field of motor optimization design, in particular to an optimization design method of a permanent magnet motor. Background technique [0002] Due to the advantages of high power density and high efficiency, permanent magnet motors have application prospects in electric vehicles, hybrid vehicles and other fields. At present, the design of general permanent magnet motors is mainly divided into the following steps: First, according to the performance requirements of the motor, combined with the size and power equation of the motor, the initial values ​​of the main design variables of the motor are determined. After determining the initial value, according to previous design experience and references, select the optimal interval of design variables. Secondly, for different types of motors, specific optimization and control methods are used to determine the optimal value of each design variable. Finally, the principle prototyp...

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Problems solved by technology

In general, multiple optimization goals often conflict with each other and affect each other. An improvement in the performance of one sub-goal may cause a decrease in the performance of another sub-goal.

For example, in the document "Influence of design parameters on cogging torque in permanent magnet motors" (published in IEEE Transactions on Energy Conversion in 2000, volume 48, issue 5, pages 407-412), the method of passing through the stator chute of the motor is proposed, Although it can effectively reduce the positioning torque, it also leads to a reduction in the output torque

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