Loss-Surface-Based Iron Loss Prediction for Fractional Horsepower Electric Motor Design

Hannes Gruebler; Felix Krall; Stefan Leitner; Annette Muetze

Loss-Surface-Based Iron Loss Prediction for Fractional Horsepower Electric Motor Design

Hannes Gruebler, Felix Krall, Stefan Leitner, Annette Muetze

Electric Drives and Power Electronic Systems (4310)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

A modified loss-surface approach for iron loss prediction in fractional horsepower motors is proposed which is especially suitable when the flux density distribution contains a high number of harmonics, and/or when only insufficient datasheet values are available. The requirements on such loss-surface determination and specific aspects of its realization are investigated. The approach is validated experimentally by investigation of a toroidal iron stack of similar size as that of fractional horsepower machines which motivated this research. The predicted and the measured iron losses differ at a maximum of 4.6 %.

Original language	English
Title of host publication	2018 20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	978-9-0758-1528-3
Publication status	Published - 30 Oct 2018
Event	20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe - Riga, Latvia Duration: 17 Sept 2018 → 21 Sept 2018

Conference

Conference	20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe
Country/Territory	Latvia
City	Riga
Period	17/09/18 → 21/09/18

Keywords

«Component for measurements»
«Device modeling»
«Measurement»
«Non-linear control»
«Test bench»

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Loss-Surface-Based Iron Loss Prediction for Fractional Horsepower Electric Motor Design. / Gruebler, Hannes; Krall, Felix; Leitner, Stefan et al.
2018 20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe. Institute of Electrical and Electronics Engineers, 2018. 8515633.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Gruebler, H, Krall, F, Leitner, S & Muetze, A 2018, Loss-Surface-Based Iron Loss Prediction for Fractional Horsepower Electric Motor Design. in 2018 20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe., 8515633, Institute of Electrical and Electronics Engineers, 20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe, Riga, Latvia, 17/09/18.

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AU - Gruebler, Hannes

AU - Krall, Felix

AU - Leitner, Stefan

AU - Muetze, Annette

PY - 2018/10/30

Y1 - 2018/10/30

N2 - A modified loss-surface approach for iron loss prediction in fractional horsepower motors is proposed which is especially suitable when the flux density distribution contains a high number of harmonics, and/or when only insufficient datasheet values are available. The requirements on such loss-surface determination and specific aspects of its realization are investigated. The approach is validated experimentally by investigation of a toroidal iron stack of similar size as that of fractional horsepower machines which motivated this research. The predicted and the measured iron losses differ at a maximum of 4.6 %.

AB - A modified loss-surface approach for iron loss prediction in fractional horsepower motors is proposed which is especially suitable when the flux density distribution contains a high number of harmonics, and/or when only insufficient datasheet values are available. The requirements on such loss-surface determination and specific aspects of its realization are investigated. The approach is validated experimentally by investigation of a toroidal iron stack of similar size as that of fractional horsepower machines which motivated this research. The predicted and the measured iron losses differ at a maximum of 4.6 %.

KW - «Component for measurements»

KW - «Device modeling»

KW - «Measurement»

KW - «Non-linear control»

KW - «Test bench»

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M3 - Conference paper

AN - SCOPUS:85057058828

BT - 2018 20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe

PB - Institute of Electrical and Electronics Engineers

T2 - 20th European Conference on Power Electronics and Applications, EPE 2018 ECCE Europe

Y2 - 17 September 2018 through 21 September 2018

ER -

Loss-Surface-Based Iron Loss Prediction for Fractional Horsepower Electric Motor Design

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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