PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 12, 2026IEEJ Journal of Industry Applications0 citationsOpen Access

Study on Magnet Eddy Current Loss Driven by Voltage Source Inverter and Voltage Pulse Pattern for its Loss Reduction

KSKensuke SasakiKAKan Akatsu

Key Points

  • The research aims to evaluate the impact of voltage source inverter operation on magnet eddy current loss in permanent magnet synchronous motors and propose a reduction method.
  • Evaluated the effect of voltage source inverter operation on magnet eddy current loss.
  • Proposed a voltage pulse pattern using square and rectangular waves.
  • Induced interference between high-frequency voltage components to mitigate flux linkage fluctuation.
  • Conducted experimental evaluations comparing efficiency against typical pulse width modulation operation.
  • Magnet temperature rise reduced by 26% under no-load and 41% under load conditions compared to PWM operation.

Abstract

In this study, effect of voltage source inverter (VSI) operation on magnet eddy current (MEC) loss of a permanent magnet synchronous motor (PMSM) is evaluated, and a voltage pulse pattern for MEC loss reduction is proposed. Firstly, it is clarified that MEC loss is mainly caused by the high-frequency (HF) voltage components induced by the VSI, and it is strongly correlated with d-axis flux linkage fluctuation. Secondly, a voltage pulse pattern that comprises a combination of a square wave and rectangular waves is proposed. By inducing interference between the HF voltage components of the waves to mitigate d-axis flux linkage fluctuation, MEC loss is reduced. The effect is experimentally evaluated. Compared with that in pulse width modulation (PWM) operation, the magnet temperature rise is mitigated by 26% and 41% under no-load and load conditions, respectively.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Sasaki et al. (2026) studied this question.

synapsesocial.com/papers/69db361c4fe01fead37c46fahttps://doi.org/10.1541/ieejjia.20250351
Ask AI
Helpful
Bookmark
Share
View Full Paper