Kriging Surrogate Model-Based Design of an Ultra-High-Speed Surface-Mounted Permanent-Magnet Synchronous Motor Considering Stator Iron Loss and Rotor Eddy Current Loss

This paper investigates the problem of calculating and analyzing the effect of the permanent magnet eddy current loss fault due to magnet segmentation. Taking an interior permanent magnet synchronous motor with inverter supplied as an example, the rated power of motor was 2.2 kW. Three-dimensional finite-element model was firstly established based on finite-element software. Then, the model mesh and boundary conditions were handled specially; permanent magnet eddy current loss fault was calculated and analyzed theoretically with magnet segmentation from space harmonic and time harmonic, respectively. Finally, calculation results were compared and explained. A useful conclusion for permanent magnet synchronous motor design has been obtained.

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Influence of rotor magnetic circuit structure on eddy current loss of high voltage line‐start permanent magnet synchronous motor

International Transactions on Electrical Energy Systems ◽

10.1002/2050-7038.12700 ◽

2020 ◽

Author(s):

Houbin Song ◽

Rongxin Wang ◽

Aimin An ◽

Hongbo Qiu

Keyword(s):

Permanent Magnet ◽

High Voltage ◽

Eddy Current ◽

Magnetic Circuit ◽

Permanent Magnet Synchronous Motor ◽

Synchronous Motor ◽

Eddy Current Loss ◽

Current Loss ◽

Circuit Structure

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Interior Permanent Magnet Synchronous Motor Design for Eddy Current Loss Reduction in Permanent Magnets to Prevent Irreversible Demagnetization

Energies ◽

10.3390/en13195082 ◽

2020 ◽

Vol 13 (19) ◽

pp. 5082

Author(s):

Jae-Woo Jung ◽

Byeong-Hwa Lee ◽

Kyu-Seob Kim ◽

Sung-Il Kim

Keyword(s):

Permanent Magnet ◽

Eddy Current ◽

Permanent Magnets ◽

Permanent Magnet Synchronous Motor ◽

Core Loss ◽

Synchronous Motor ◽

Eddy Current Loss ◽

Equivalent Circuit Analysis ◽

Current Loss ◽

Interior Permanent Magnet

We designed and analyzed an interior permanent magnet synchronous motor (IPMSM) to prevent irreversible demagnetization of the permanent magnets (PMs). Irreversible demagnetization of NdFeB PMs mainly occurs due to high temperature, which should thus be minimized. Therefore, it is necessary to reduce the eddy current loss in the PM through optimal design. The shape of the rotor core was optimized using finite element analysis (FEA) and response surface methodology. Three-dimensional (3-D) FEA is required for accurate computation of the eddy current loss, but there is huge time, effort, and cost consumption. Therefore, a method is proposed for indirectly calculating the eddy current loss of PMs using 2-D FEA. A thermal equivalent circuit analysis was used to calculate the PM temperature of the optimized model. For the thermal analysis, the copper loss, core loss, and eddy current loss in PMs were estimated and applied as a heat source. Based on the results, we confirmed the stability of the optimum model in terms of the PM demagnetization.

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The ECL Optimization and Experiment of HSPMSM with Improved Method

10.20944/preprints201804.0137.v1 ◽

2018 ◽

Author(s):

Xu Liu

Keyword(s):

Permanent Magnet ◽

Eddy Current ◽

High Speed ◽

High Efficiency ◽

Separation Of Variables ◽

Permanent Magnet Synchronous Motor ◽

Optimization Method ◽

Eddy Current Loss ◽

Weighting Coefficient ◽

Current Loss

The eddy current loss should be optimized to be as less as possible for the stability of permanent magnet in high speed permanent magnet synchronous motor (HSPMSM) rotor and ensure the high efficiency and low temperature of the motor. This paper analyzes the eddy current distribution in rotor, with consideration of the conflict of the thickness of sleeve and diameter of the rotor, calculating the eddy current loss (ECL) and the thermal distribution via Separation of variables method for solving Maxwell's equations with analytical hieratical model of ECL constructed. The optimization result of ECL of the HSPMSM whose power and rated speed is 30kw 48000r/min can be got by multi-objective optimization method, combined weighting coefficient method and traversal algorithm based on chaotic local search particle swarm optimization (CLSPSO), utilizing ECL analytical model and other analytical constraints. Related experiment and measurement has been implemented with new approach of loss separation.

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