Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System

Mehrnaz Farzam Far; Jenni Pippuri-Mäkeläinen; Janne Keränen; A. Belahcen; Sampo Laine; Raine Viitala

doi:10.1109/COMPUMAG56388.2023.10411813

Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System

Mehrnaz Farzam Far, Jenni Pippuri-Mäkeläinen, Janne Keränen, A. Belahcen, Sampo Laine, Raine Viitala

BA4805 Powertrains

Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Electrical drivetrains consist of an electrical machine drive connected to a mechanical system. Single-mass models are commonly used in electromechanical finite-element analyses to study various aspects of these drivetrains such as the output torque of the electrical machine or the transient performance. Nevertheless, single-mass models are inherently insufficient for the analysis of torsional vibrations. Higher degree-of-freedom mechanical models should be employed to inspect the behavior of the electric drives connected to flexible torsional systems. This paper presents a comprehensive finite element model of an induction machine coupled with a three-mass lumped-element model. The single-mass and three-mass models are compared in terms of stator current, produced torque, speed, and losses. It is shown that neglecting torsional oscillations results in underestimating the characteristics of electrical machines.

Original language	English
Title of host publication	24th International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2023 - Proceedings
Publisher	IEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)	979-8-3503-0105-2
ISBN (Print)	979-8-3503-0106-9
DOIs	https://doi.org/10.1109/COMPUMAG56388.2023.10411813
Publication status	Published - 2023
MoE publication type	A4 Article in a conference publication
Event	24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG) - Kyoto, Japan Duration: 22 May 2023 → 26 May 2023

Conference

Conference	24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG)
Country/Territory	Japan
City	Kyoto
Period	22/05/23 → 26/05/23

Funding

This work was supported by the Centre of Excellence in High-Speed Electromechanical Energy Conversion Systems (HiECSs), funded by Academy of Finland (GN 346441).

Keywords

Electrical machines
electromagnetic losses
finite element analysis
three-mass mechanical system

UN SDGs

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

Access to Document

10.1109/COMPUMAG56388.2023.10411813

Cite this

Farzam Far, M., Pippuri-Mäkeläinen, J., Keränen, J., Belahcen, A., Laine, S., & Viitala, R. (2023). Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System. In 24th International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2023 - Proceedings IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/COMPUMAG56388.2023.10411813

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title = "Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System",

abstract = "Electrical drivetrains consist of an electrical machine drive connected to a mechanical system. Single-mass models are commonly used in electromechanical finite-element analyses to study various aspects of these drivetrains such as the output torque of the electrical machine or the transient performance. Nevertheless, single-mass models are inherently insufficient for the analysis of torsional vibrations. Higher degree-of-freedom mechanical models should be employed to inspect the behavior of the electric drives connected to flexible torsional systems. This paper presents a comprehensive finite element model of an induction machine coupled with a three-mass lumped-element model. The single-mass and three-mass models are compared in terms of stator current, produced torque, speed, and losses. It is shown that neglecting torsional oscillations results in underestimating the characteristics of electrical machines.",

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Farzam Far, M , Pippuri-Mäkeläinen, J , Keränen, J, Belahcen, A, Laine, S & Viitala, R 2023, Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System. in 24th International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2023 - Proceedings. IEEE Institute of Electrical and Electronic Engineers, 24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG), Kyoto, Japan, 22/05/23. https://doi.org/10.1109/COMPUMAG56388.2023.10411813

Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System. / Farzam Far, Mehrnaz ; Pippuri-Mäkeläinen, Jenni ; Keränen, Janne et al.
24th International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2023 - Proceedings. IEEE Institute of Electrical and Electronic Engineers, 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System

AU - Farzam Far, Mehrnaz

AU - Pippuri-Mäkeläinen, Jenni

AU - Keränen, Janne

AU - Belahcen, A.

AU - Laine, Sampo

AU - Viitala, Raine

PY - 2023

Y1 - 2023

N2 - Electrical drivetrains consist of an electrical machine drive connected to a mechanical system. Single-mass models are commonly used in electromechanical finite-element analyses to study various aspects of these drivetrains such as the output torque of the electrical machine or the transient performance. Nevertheless, single-mass models are inherently insufficient for the analysis of torsional vibrations. Higher degree-of-freedom mechanical models should be employed to inspect the behavior of the electric drives connected to flexible torsional systems. This paper presents a comprehensive finite element model of an induction machine coupled with a three-mass lumped-element model. The single-mass and three-mass models are compared in terms of stator current, produced torque, speed, and losses. It is shown that neglecting torsional oscillations results in underestimating the characteristics of electrical machines.

AB - Electrical drivetrains consist of an electrical machine drive connected to a mechanical system. Single-mass models are commonly used in electromechanical finite-element analyses to study various aspects of these drivetrains such as the output torque of the electrical machine or the transient performance. Nevertheless, single-mass models are inherently insufficient for the analysis of torsional vibrations. Higher degree-of-freedom mechanical models should be employed to inspect the behavior of the electric drives connected to flexible torsional systems. This paper presents a comprehensive finite element model of an induction machine coupled with a three-mass lumped-element model. The single-mass and three-mass models are compared in terms of stator current, produced torque, speed, and losses. It is shown that neglecting torsional oscillations results in underestimating the characteristics of electrical machines.

KW - Electrical machines

KW - electromagnetic losses

KW - finite element analysis

KW - three-mass mechanical system

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DO - 10.1109/COMPUMAG56388.2023.10411813

M3 - Conference article in proceedings

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BT - 24th International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2023 - Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG)

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ER -

Farzam Far M , Pippuri-Mäkeläinen J , Keränen J, Belahcen A, Laine S, Viitala R. Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System. In 24th International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2023 - Proceedings. IEEE Institute of Electrical and Electronic Engineers. 2023 doi: 10.1109/COMPUMAG56388.2023.10411813

Finite Element Modeling of Induction Machine Coupled with Three-Mass Mechanical System

Abstract

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Funding

Keywords

UN SDGs

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