Scholarlink

<p>This paper presents an improved method for predicting the no-load back-EMF waveform of surface-mounted permanent-magnet (SPM) machines. While conventional analytical approaches utilizing harmonic winding factors are efficient, they fail to account for flux leakage caused by slot geometry, resulting in significant errors in higher-order harmonic prediction. To address this, a generalized coupling coefficient is introduced to quantify the effective harmonic flux linking the winding, considering slot leakage effects. This coefficient is efficiently extracted via finite-element analysis (FEA) using a proposed unified model, which is applicable to various pole-slot combinations and slot-opening widths without remodeling. The proposed method is validated against full FEA simulations for 8-pole/12-slot and 8-pole/9-slot machines. The results demonstrate that the reconstructed back-EMF waveforms significantly reduce prediction error compared to conventional methods, achieving high accuracy in harmonic characteristics while maintaining the efficiency of early-stage design processes.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Coupling Coefficient-Based Back-EMF Prediction Method for Surface-Mounted Permanent-Magnet Machines

  • 期刊论文

  • 发表日期：

    2026年2月25日

查看全文
  • Jaenam Bae,
  • Sung Gu Lee

摘要

This paper presents an improved method for predicting the no-load back-EMF waveform of surface-mounted permanent-magnet (SPM) machines. While conventional analytical approaches utilizing harmonic winding factors are efficient, they fail to account for flux leakage caused by slot geometry, resulting in significant errors in higher-order harmonic prediction. To address this, a generalized coupling coefficient is introduced to quantify the effective harmonic flux linking the winding, considering slot leakage effects. This coefficient is efficiently extracted via finite-element analysis (FEA) using a proposed unified model, which is applicable to various pole-slot combinations and slot-opening widths without remodeling. The proposed method is validated against full FEA simulations for 8-pole/12-slot and 8-pole/9-slot machines. The results demonstrate that the reconstructed back-EMF waveforms significantly reduce prediction error compared to conventional methods, achieving high accuracy in harmonic characteristics while maintaining the efficiency of early-stage design processes.