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Abstract

The analysis of noise and vibrations under electromagnetic excitations (e-NVH) in electrical machines requires to study the stator mechanical response when excited by Maxwell stress waves. In particular, the notion of unit-wave Frequency Response Function (FRF) is often used in e-NVH simulations to model the mechanical response under electromagnetic excitations and troubleshoot noise issues. However, it is not possible to directly measure the unit-wave FRF on the electrical machines and validate the model. Instead, the Experimental Modal Analysis (EMA) is often compared to a Finite Element (FE) model in order to fit the numerical parameters (damping, boundary conditions, etc.). This paper is presenting a complementary approach to fully numerical e-NVH analysis. It is a new hybrid methodology based on experiments for the mechanical FRF and simulation for the magnetic excitations. This is performed with dedicated experimental measurements and post-processing. The new methodology builds an equivalent unit-wave FRF from experimental measurements. The methodology is validated with the diagnose of electromagnetic noise issues for an experimental benchmark Surface Permanent Magnet Synchronous Machine (SPMSM).

Keywords

Magneto-mechanical analysis electrical machine vibration SPMSM magnetic force frequency response function

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References

Avitabile

, Experimental modal analysis, Sound and Vibration35(1) (2001), 20–31.

Régniez

Souron

Bonneel

and Le Besnerais

, Numerical simulation of structural-borne vibrations due to electromagnetic forces in electric machines - coupling between altair optistruct and manatee software, Researchgate (2016).

Saito

Kuroishi

and Nakai

, Vibration prediction method of electric machines by using experimental transfer function and magnetostatic finite element analysis, Journal of Physics: Conference Series744(1) (2016), 012088, doi:10.1088/1742-6596/744/1/012088.

Liang

, The investigation of electromagnetic radial force and associated vibration in permanent magnet synchronous machines, Ph.D. thesis, Cranfield University, 2017.

Devillers

Hecquet

Cimetière

Lecointe

J.-P.

Le Besnerais

and Lubin

, Experimental benchmark for magnetic noise and vibrations analysis in electrical machines, in: 2018 XIII International Conference on Electrical Machines (ICEM), 2018, pp. 745–751. doi:10.1109/ICELMACH.2018.8506928.

Pile

Devillers

and Le Besnerais

, Comparison of main magnetic force computation methods for noise and vibration assessment in electrical machines, IEEE Trans. Magn.54(7) (2018), 1–13, doi:10.1109/TMAG.2018.2828388.

Boesing

Schoenen

Kasper

K.A.

and De Doncker

R.W.

, Vibration synthesis for electrical machines based on force response superposition, IEEE Trans. Magn.46(8) (2010), 2986–2989, doi:10.1109/TMAG.2010.2042291.

Holland

and Fahy

, A guide to the exploitation of vibroacoustic reciprocity in noise control technology, ISVR Technical Report No. 264, 1997.

Le Besnerais

, Fast prediction of variable-speed acoustic noise due to magnetic forces in electrical machines, in: 2016 XXII International Conference on Electrical Machines (ICEM), 2016, pp. 2259–2265. doi:10.1109/ICELMACH.2016.7732836.

10.

Degrendele

Devillers

and Le Besnerais

, Advanced NVH measurement data processing of electric motors under electromagnetic excitations, in: Automotive Acoustics Conference 2019, Springer, 2020, pp. 226–237.doi:10.1007/978-3-658-27669-0_16.

e-NVH response synthesis of electric motors based on stator teeth FRF measurements

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