2019
DOI: 10.1109/tec.2019.2921699
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A Generalized Equivalent Magnetic Network Modeling Method for Vehicular Dual-Permanent-Magnet Vernier Machines

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Cited by 46 publications
(16 citation statements)
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“…The MEC technique is usually utilized to provide preliminary designs [92][93][94][95] and to analyze the electromagnetic characteristics [91], [96], [97] of SRMs. This technique is divided into two approaches: conventional MEC approach [98][99][100] and reluctance-mesh/finite-reluctance approach (FRA) [101][102][103][104].…”
Section: Mec Modeling Techniques Of Srmsmentioning
confidence: 99%
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“…The MEC technique is usually utilized to provide preliminary designs [92][93][94][95] and to analyze the electromagnetic characteristics [91], [96], [97] of SRMs. This technique is divided into two approaches: conventional MEC approach [98][99][100] and reluctance-mesh/finite-reluctance approach (FRA) [101][102][103][104].…”
Section: Mec Modeling Techniques Of Srmsmentioning
confidence: 99%
“…23. Then, the partial derivatives of magnetic scalar potential in (5) are approximated using finite differences and the potential values on the grid points [23], [101], [102], [105]. In the reluctance mesh approach, the reluctances are defined between adjacent grid points as illustrated in Fig.…”
Section: B Reluctance Mesh/finite Reluctance Approachmentioning
confidence: 99%
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“…They used the successive over relaxation method, which is an advanced Gauss iteration method, to solve the magnetic network equations. [21]. In the practical calculation, the selection of relaxation factors depends on experience, and improper relaxation factors can also lead to divergent results.…”
Section: Introductionmentioning
confidence: 99%
“…A modular linear PMVM was presented and optimized for highprecision and safety-critical direct-drive applications, and it has high desired fault-tolerant capability in [2]. An equivalent magnetic network model for vehicular PMVM was built for obtaining the optimization values in [3]. A spoke-type PMVM was designed and optimized for improving torque density and power factor in [4].…”
Section: Introductionmentioning
confidence: 99%