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Title: Analytical Modeling of a Double-Sided Flux Concentrating E-Core Transverse Flux Machine with Pole Windings

Abstract

In this paper, a nonlinear analytical model based on the Magnetic Equivalent Circuit (MEC) method is developed for a double-sided E-Core Transverse Flux Machine (TFM). The proposed TFM has a cylindrical rotor, sandwiched between E-core stators on both sides. Ferrite magnets are used in the rotor with flux concentrating design to attain high airgap flux density, better magnet utilization, and higher torque density. The MEC model was developed using a series-parallel combination of flux tubes to estimate the reluctance network for different parts of the machine including air gaps, permanent magnets, and the stator and rotor ferromagnetic materials, in a two-dimensional (2-D) frame. An iterative Gauss-Siedel method is integrated with the MEC model to capture the effects of magnetic saturation. A single phase, 1 kW, 400 rpm E-Core TFM is analytically modeled and its results for flux linkage, no-load EMF, and generated torque, are verified with Finite Element Analysis (FEA). The analytical model significantly reduces the computation time while estimating results with less than 10 percent error.

Authors:
ORCiD logo [1];  [2];  [2];  [2];  [3]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. University of Akron
  3. North Carolina State University
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1402563
Report Number(s):
NREL/CP-5D00-70345
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2017 IEEE International Electric Machines and Drives Conference (IEMDC), 21-24 May 2017, Miami, Florida
Country of Publication:
United States
Language:
English
Subject:
30 DIRECT ENERGY CONVERSION; transverse flux machine; TFM; magnetic; equivalent circuit; MEC

Citation Formats

Muljadi, Eduard, Hasan, Iftekhar, Husain, Tausif, Sozer, Yilmaz, and Husain, Iqbal. Analytical Modeling of a Double-Sided Flux Concentrating E-Core Transverse Flux Machine with Pole Windings. United States: N. p., 2017. Web. doi:10.1109/IEMDC.2017.8002348.
Muljadi, Eduard, Hasan, Iftekhar, Husain, Tausif, Sozer, Yilmaz, & Husain, Iqbal. Analytical Modeling of a Double-Sided Flux Concentrating E-Core Transverse Flux Machine with Pole Windings. United States. doi:10.1109/IEMDC.2017.8002348.
Muljadi, Eduard, Hasan, Iftekhar, Husain, Tausif, Sozer, Yilmaz, and Husain, Iqbal. Tue . "Analytical Modeling of a Double-Sided Flux Concentrating E-Core Transverse Flux Machine with Pole Windings". United States. doi:10.1109/IEMDC.2017.8002348.
@article{osti_1402563,
title = {Analytical Modeling of a Double-Sided Flux Concentrating E-Core Transverse Flux Machine with Pole Windings},
author = {Muljadi, Eduard and Hasan, Iftekhar and Husain, Tausif and Sozer, Yilmaz and Husain, Iqbal},
abstractNote = {In this paper, a nonlinear analytical model based on the Magnetic Equivalent Circuit (MEC) method is developed for a double-sided E-Core Transverse Flux Machine (TFM). The proposed TFM has a cylindrical rotor, sandwiched between E-core stators on both sides. Ferrite magnets are used in the rotor with flux concentrating design to attain high airgap flux density, better magnet utilization, and higher torque density. The MEC model was developed using a series-parallel combination of flux tubes to estimate the reluctance network for different parts of the machine including air gaps, permanent magnets, and the stator and rotor ferromagnetic materials, in a two-dimensional (2-D) frame. An iterative Gauss-Siedel method is integrated with the MEC model to capture the effects of magnetic saturation. A single phase, 1 kW, 400 rpm E-Core TFM is analytically modeled and its results for flux linkage, no-load EMF, and generated torque, are verified with Finite Element Analysis (FEA). The analytical model significantly reduces the computation time while estimating results with less than 10 percent error.},
doi = {10.1109/IEMDC.2017.8002348},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 08 00:00:00 EDT 2017},
month = {Tue Aug 08 00:00:00 EDT 2017}
}

Conference:
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