Uncertainty propagation of iron loss from ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
Uncertainty propagation of iron loss from characterization measurements to computation of electrical machines
Author(s) :
Belahcen, Anouar [Auteur]
Aalto University
RASILO, Paavo [Auteur]
Aalto University
Nguyen, Thu-Trang [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - EA 2697
Clenet, Stephane [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Aalto University
RASILO, Paavo [Auteur]
Aalto University
Nguyen, Thu-Trang [Auteur]

13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - EA 2697
Clenet, Stephane [Auteur]

13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Journal title :
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Volume number :
34
Pages :
624-636
Publisher :
Emerald
Publication date :
2015-05
ISSN :
0332-1649
English keyword(s) :
Electrical machines
Iron losses
Uncertainty quantification
Iron losses
Uncertainty quantification
HAL domain(s) :
Sciences de l'ingénieur [physics]/Energie électrique
English abstract : [en]
Purpose
The purpose of this paper is to find out how uncertainties in the characterization of magnetic materials propagate through identification and numerical simulation to the computation of iron losses in electrical ...
Show more >Purpose The purpose of this paper is to find out how uncertainties in the characterization of magnetic materials propagate through identification and numerical simulation to the computation of iron losses in electrical machines. Design/methodology/approach The probabilistic uncertainties in the iron losses are modelled with the spectral approach using chaos polynomials. The Sobol indices are used for the global sensitivity analysis. The machine is modelled with a 2D finite element method and the iron losses are computed with a previously developed accurate method. Findings The uncertainties propagate in different ways to the different components of losses, i.e. eddy current, hysteresis, and excess losses. The propagation is also different depending on the investigated region of the machine, i.e. Stator or rotor teeth, yokes, tooth tips. Research limitations/implications The method does not account for uncertainties related to the manufacturing process, which might result in even larger variability. Practical implications A major implication of the findings is that the identification of iron loss parameters at low frequencies does not affect the loss variability. The identification with high-frequency measurement is very important for the rotor tooth tips. The variability in the excess loss parameters is of low impact. Originality/value The presented results are of importance for the magnetic material manufacturers and the electrical machine designers. The manufacturers can plan the measurement and identification procedures as to minimize the output variability of the parameters. The designers of the machine can use the result and the presented procedures to estimate the variability of their design.Show less >
Show more >Purpose The purpose of this paper is to find out how uncertainties in the characterization of magnetic materials propagate through identification and numerical simulation to the computation of iron losses in electrical machines. Design/methodology/approach The probabilistic uncertainties in the iron losses are modelled with the spectral approach using chaos polynomials. The Sobol indices are used for the global sensitivity analysis. The machine is modelled with a 2D finite element method and the iron losses are computed with a previously developed accurate method. Findings The uncertainties propagate in different ways to the different components of losses, i.e. eddy current, hysteresis, and excess losses. The propagation is also different depending on the investigated region of the machine, i.e. Stator or rotor teeth, yokes, tooth tips. Research limitations/implications The method does not account for uncertainties related to the manufacturing process, which might result in even larger variability. Practical implications A major implication of the findings is that the identification of iron loss parameters at low frequencies does not affect the loss variability. The identification with high-frequency measurement is very important for the rotor tooth tips. The variability in the excess loss parameters is of low impact. Originality/value The presented results are of importance for the magnetic material manufacturers and the electrical machine designers. The manufacturers can plan the measurement and identification procedures as to minimize the output variability of the parameters. The designers of the machine can use the result and the presented procedures to estimate the variability of their design.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
https://hal.archives-ouvertes.fr/hal-01149942v1
Research team(s) :
Équipe Outils et Méthodes Numériques
Submission date :
2020-05-15T14:07:11Z
2022-02-16T09:57:42Z
2022-02-16T09:57:42Z
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