Multi-objective optimization design method for magnetic suspension flywheel motor based on kriging approximation model

Abstract

The invention discloses a multi-objective optimization design method for a magnetic suspension flywheel motor based on a kriging approximation model, and the method employs the current stiffness and displacement stiffness of the magnetic suspension flywheel motor as optimization objectives, and optimizes the number of turns of suspension winding coils, the width of suspension teeth, the height of rotor teeth, and the axial length of the motor. Therefore, the suspension supporting rigidity of the flywheel battery under the vehicle-mounted complex working condition is effectively improved. Besides, according to the optimization design method provided by the invention, a finite element model of the motor is replaced by a Kriging approximation model, so that the calculation cost in the optimization iterative calculation process of the motor is reduced, and the optimization efficiency is improved; an improved multi-target fruit fly algorithm is adopted to optimize, a search space and a taste judgment value are improved in an original fruit fly algorithm, a fast non-dominated sorting and crowding distance sorting method is introduced to solve the multi-target optimization problem, and the global search ability and convergence speed of the algorithm are effectively improved.

Description

technical field [0001] The invention relates to the technical field of magnetic levitation motors, in particular to a multi-objective optimal design method for a magnetic levitation flywheel motor based on a kriging approximate model. Background technique [0002] With the acceleration of the global automobile industrialization process and the depletion of oil resources, the problems of environmental pollution, urban traffic problems and the contradiction between supply and demand of global energy have become increasingly prominent. Because new energy vehicles show great advantages in environmental protection and energy saving, they are highly valued at home and abroad. As one of the core components of new energy vehicles, the power battery directly affects the power, safety performance and battery life of new energy vehicles. Flywheel battery is a new type of green and environmentally friendly mechanical energy storage device, which has the advantages of high energy storag...

AI Technical Summary

Problems solved by technology

However, the traditional finite element method needs to continuously adjust the structural parameters of the motor in order to search for the optimal solution in the stage of motor parameter optimization design. The 3D model segmentation and solution are relatively complicated, which requires high computer performance, takes a long time, and has low efficiency.

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