LAPSE:2019.0087
Published Article
LAPSE:2019.0087
Analytical Calculation of D- and Q-axis Inductance for Interior Permanent Magnet Motors Based on Winding Function Theory
January 7, 2019
Interior permanent magnet (IPM) motors are widely used in electric vehicles (EVs), benefiting from the excellent advantages of a more rational use of energy. For further improvement of energy utilization, this paper presents an analytical method of d- and q-axis inductance calculation for IPM motors with V-shaped rotor in no-load condition. A lumped parameter magnetic circuit model (LPMCM) is adopted to investigate the saturation and nonlinearity of the bridge. Taking into account the influence of magnetic field distribution on inductance, the winding function theory (WFT) is employed to accurately calculate the armature reaction airgap magnetic field and d- and q-axis inductances. The validity of the analytical technique is verified by the finite element method (FEM).
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Keywords
armature reaction magnetic field, d- and q-axis inductances, interior permanent magnet motor, lumped parameter magnetic circuit model, nonlinearity, saturation, winding function theory
Subject
Suggested Citation
Liang P, Pei Y, Chai F, Zhao K. Analytical Calculation of D- and Q-axis Inductance for Interior Permanent Magnet Motors Based on Winding Function Theory. (2019). LAPSE:2019.0087
Author Affiliations
Liang P: State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Pei Y: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Chai F: State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Zhao K: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
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Pei Y: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Chai F: State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Zhao K: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
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Journal Name
Energies
Volume
9
Issue
8
Article Number
E580
Year
2016
Publication Date
2016-07-25
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9080580, Publication Type: Journal Article
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Published Article
LAPSE:2019.0087
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doi:10.3390/en9080580
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[v1] (Original Submission)
Jan 7, 2019
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Jan 7, 2019
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https://psecommunity.org/LAPSE:2019.0087
Original Submitter
Calvin Tsay
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