Permanent magnet motor optimization design method considering operation condition

Abstract

The invention discloses a permanent magnet motor optimization design method considering operation conditions. According to the method, operation condition analysis and multi-objective optimization are combined to carry out motor optimization design. The method comprises the following steps: firstly, determining representative working points and proportions thereof by adopting a K clustering method according to selected operation conditions; secondly, constructing a motor parameterized model, fitting a flux linkage model by adopting a response surface method, determining armature currents under maximum torque current ratio control or weak magnetic control of different representative points through a formula method, and effectively evaluating the electromagnetic performance of each representative working point; and finally, performing motor multi-objective optimization by taking the effective material cost and the working condition loss as optimization objectives. In the multi-objective optimization process, design variables are subjected to hierarchical optimization by adopting sensitivity analysis, single-parameter optimization is carried out on low-sensitivity variables, a response surface model is established for high-sensitivity variables, a Pareto solution set is generated by virtue of a multi-objective algorithm, and an optimal parameter combination of the motor is efficiently and accurately determined, so that the manufacturing cost of the motor is reduced, and the performance of the motor is improved.

Description

technical field [0001] The invention relates to an optimal design method of a permanent magnet motor considering operating conditions, and belongs to the field of optimal design of motors. Background technique [0002] With the depletion of petroleum resources and the enhancement of environmental awareness, the electrification process of the automobile industry has been continuously accelerated and deepened, which has become a globally recognized development direction. The advantages of electric vehicles, such as no pollution, low noise, and high energy efficiency, are expected to solve the three major problems of greenhouse gas emissions, energy consumption, and exhaust pollution in the transportation sector. As the most important part of the electric vehicle drive system, the motor should have a high torque density to ensure the acceleration capability required in the low-speed constant torque region and the magnetic field weakening capability required for speed expansion ...

AI Technical Summary

Problems solved by technology

However, the direct combination of motor finite element analysis and algorithm requires motor finite element iterative operation of a large number of sample points, and the use of approximate models to replace the original motor model still has the problems of too many sampling points and low optimization efficiency due to high design dimensions

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