Analysis of a novel switched-flux memory motor employing a time-divisional magnetization strategy

Hui Yang, Heyun Lin*, Jianning Dong, Jianhu Yan, Yunkai Huang, Shuhua Fang

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

48 Citations (Scopus)


This paper presents a novel switched-flux memory motor (SFMM) by artfully incorporating the flux-mnemonic concept into the conventional switched-flux permanent magnet machine. The magnetic susceptibility of AlNiCo PM provides the flexible online controllability of air-gap flux by imposing a transient current pulse. To uniformize magnetization levels of PMs, a time-divisional magnetization strategy (TDMS) is proposed. Due to the uniqueness of hysteresis nonlinearity and instability regarding AlNiCo PM operating point, the time-stepping finite element method (TSFEM) dynamically coupled with a nonlinearity-involved parallelogram hysteresis model (NIPHM) of AlNiCo PM is performed to investigate the electromagnetic performance of the proposed SFMM. The results derived from the combinative algorithm verifies the flux-adjustable capability of the proposed motor equipped with TDMS and the validity of the proposed NIPHM.

Original languageEnglish
Article number6749136
Pages (from-to)849-852
Number of pages4
JournalIEEE Transactions on Magnetics
Issue number2
Publication statusPublished - Feb 2014
Externally publishedYes


  • Electromagnetic analysis
  • hysteresis model
  • memory machine
  • permanent magnet
  • switched-flux


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