This work - structured as two companion papers - first proposes a computational efficient performance estimation methodology for anisotropic synchronous machine and then make use of such performance estimation approach within a design optimization procedure. The modeling is based on a non-linear magnetic equivalent circuit (MEC) able of accounting for both saturation and cross-saturation effects. The circuital representation is independent from the supply conditions thus able to model the flux paths in any operating points. The modeling technique is fully described and its performance estimation widely assessed against finite element simulation. Indeed, both flux density spatial distribution, flux linkages and torque prediction as function of the operating conditions are deeply analysed highlight benefits and drawbacks of the proposed approach. The second part of the work will focus on the design optimization of a permanent magnet assisted synchronous reluctance machines for a traction application.

Analytical Design Optimization of Permanent Magnet Assisted Synchronous Reluctance Machines - Part I: Magnetic Model / Gallicchio, Gianvito; Di Nardo, Mauro; Cupertino, Francesco. - (2024), pp. 1-7. ( 2024 International Conference on Electrical Machines, ICEM 2024 ita 2024) [10.1109/ICEM60801.2024.10700248].

Analytical Design Optimization of Permanent Magnet Assisted Synchronous Reluctance Machines - Part I: Magnetic Model

Gianvito Gallicchio;Mauro Di Nardo;Francesco Cupertino
2024

Abstract

This work - structured as two companion papers - first proposes a computational efficient performance estimation methodology for anisotropic synchronous machine and then make use of such performance estimation approach within a design optimization procedure. The modeling is based on a non-linear magnetic equivalent circuit (MEC) able of accounting for both saturation and cross-saturation effects. The circuital representation is independent from the supply conditions thus able to model the flux paths in any operating points. The modeling technique is fully described and its performance estimation widely assessed against finite element simulation. Indeed, both flux density spatial distribution, flux linkages and torque prediction as function of the operating conditions are deeply analysed highlight benefits and drawbacks of the proposed approach. The second part of the work will focus on the design optimization of a permanent magnet assisted synchronous reluctance machines for a traction application.
2024
2024 International Conference on Electrical Machines, ICEM 2024
Analytical Design Optimization of Permanent Magnet Assisted Synchronous Reluctance Machines - Part I: Magnetic Model / Gallicchio, Gianvito; Di Nardo, Mauro; Cupertino, Francesco. - (2024), pp. 1-7. ( 2024 International Conference on Electrical Machines, ICEM 2024 ita 2024) [10.1109/ICEM60801.2024.10700248].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/291746
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