Analysis of the Influence of Parameter Condition on Whole Load Power Factor and Efficiency of Line Start Permanent Magnet Assisted Synchronous Reluctance Motor

Jin Wang, Yan Li, Shengnan Wu, Zhanyang Yu and Lihui Chen
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Jin Wang: National Engineering Research Center for REPM Electrical Machines, Shenyang University of Technology, Shenyang 110178, China
Yan Li: National Engineering Research Center for REPM Electrical Machines, Shenyang University of Technology, Shenyang 110178, China
Shengnan Wu: National Engineering Research Center for REPM Electrical Machines, Shenyang University of Technology, Shenyang 110178, China
Zhanyang Yu: National Engineering Research Center for REPM Electrical Machines, Shenyang University of Technology, Shenyang 110178, China
Lihui Chen: National Engineering Research Center for REPM Electrical Machines, Shenyang University of Technology, Shenyang 110178, China

Energies, 2022, vol. 15, issue 11, 1-16

Abstract: Line start permanent magnet assisted synchronous reluctance motor (LSPMaSynRM) is an important high-efficiency and high-quality motor. Its parameter matching and operating characteristics are complex, with an increase in salient ratio resulting in a valley in the power factor curve. In this study, the formation principle of power factor curve valley was first deduced by the mathematical model of LSPMaSynRM. Then, the parameter matching principle of power factor curve valley was analyzed in detail. On this basis, the characteristics of load rate corresponding to the critical state of the power factor curve valley were obtained, and its influence on whole load efficiency was analyzed. The design principles for optimal efficiency in wide high-efficiency region and specific load point were obtained. Finally, a 5.5 kW LSPMaSynRM was designed and manufactured to verify the validity of the principle.

Keywords: line start permanent magnet assisted synchronous reluctance motor; power factor curve valley; efficiency; whole load region (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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