Node Mapping Criterion for Highly Saturated Interior PMSMs Using Magnetic Reluctance Network

Damian Caballero, Borja Prieto, Gurutz Artetxe, Ibon Elosegui and Miguel Martinez-Iturralde
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Damian Caballero: Ceit, Manuel Lardizabal 15, 20018 Donostia/San Sebastian, Spain
Borja Prieto: Ceit, Manuel Lardizabal 15, 20018 Donostia/San Sebastian, Spain
Gurutz Artetxe: Ceit, Manuel Lardizabal 15, 20018 Donostia/San Sebastian, Spain
Ibon Elosegui: Ceit, Manuel Lardizabal 15, 20018 Donostia/San Sebastian, Spain
Miguel Martinez-Iturralde: Ceit, Manuel Lardizabal 15, 20018 Donostia/San Sebastian, Spain

Energies, 2018, vol. 11, issue 9, 1-19

Abstract: Interior Permanent Magnet Synchronous Machine (IPMSM) are high torque density machines that usually work under heavy load conditions, becoming magnetically saturated. To obtain properly their performance, this paper presents a node mapping criterion that ensure accurate results when calculating the performance of a highly saturated IPMSM via a novel magnetic reluctance network approach. For this purpose, a Magnetic Circuit Model (MCM) with variable discretization levels for the different geometrical domains is developed. The proposed MCM caters to V-shaped IPMSMs with variable magnet depth and angle between magnets. Its structure allows static and dynamic time stepping simulations to be performed by taking into account complex phenomena such as magnetic saturation, cross-coupling saturation effect and stator slotting effect. The results of the proposed model are compared to those obtained by Finite Element Method (FEM) for a number of IPMSMs obtaining excellent results. Finally, its accuracy is validated comparing the calculated performance with experimental results on a real prototype.

Keywords: interior permanent magnet synchronous machines; magnetic reluctance network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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