IEEE Transactions on Transportation Electrification, Volume (7), No (3), Year (2020-1) , Pages (1370-1378)

Title : ( A Nonlinear Model for the Rapid Prediction of the Magnetic Field in Eccentric Synchronous Reluctance Machines )

Authors: Hossein Hooshmandi Safa , Hossein Abootorabi Zarchi ,

Citation: BibTeX | EndNote

Abstract

This paper introduces a novel numerical model for the fast characterization of concentric and eccentric synchronous reluctance motors (SynRMs) used in electric vehicles (EVs) applications. Regarding the high impact of the air gap and permeance function on the modeling accuracy, a step variation function is used to consider the flux barriers effect on the air gap. Then different types of eccentricity including, static, dynamic, and mixed eccentricity are modeled. Besides, this model considers the magnetic saturation and the stator slots effect. Numerical computation for the motor inductances is applied to avoid any approximation in the permeance function. The air gap flux density, electromagnetic torque, and the radial force on the rotor are then calculated. This model can be used for the preliminary design of SynRMs to analyze motor performance in different conditions and accelerate design procedure. The model is simply adjustable to different configurations. For instance, a 4-pole single layer distributed winding machine with 36-slot, and 3-flux barriers per pole is investigated. In order to verify the proposed model, the obtained results are compared with finite element analysis (FEA) and experimental tests. The accuracy of the proposed model for eccentricities up to 30 percent is 98%, and for higher degrees, is about 95%.

Keywords

, Electric vehicles , Synchronous reluctance machines , Eccentricity , Flux density, Finite element method
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@article{paperid:1083464,
author = {Hooshmandi Safa, Hossein and Abootorabi Zarchi, Hossein},
title = {A Nonlinear Model for the Rapid Prediction of the Magnetic Field in Eccentric Synchronous Reluctance Machines},
journal = {IEEE Transactions on Transportation Electrification},
year = {2020},
volume = {7},
number = {3},
month = {January},
issn = {2332-7782},
pages = {1370--1378},
numpages = {8},
keywords = {Electric vehicles ; Synchronous reluctance machines ; Eccentricity ; Flux density; Finite element method},
}

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%0 Journal Article
%T A Nonlinear Model for the Rapid Prediction of the Magnetic Field in Eccentric Synchronous Reluctance Machines
%A Hooshmandi Safa, Hossein
%A Abootorabi Zarchi, Hossein
%J IEEE Transactions on Transportation Electrification
%@ 2332-7782
%D 2020

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