Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications

Koua Malick Cisse, Sami Hlioui, Mhamed Belhadi, Guillaume Mermaz Rollet, Mohamed Gabsi and Yuan Cheng
Additional contact information
Koua Malick Cisse: SATIE, CNRS, Groupe PSA, ENS Paris-Saclay, 61 Avenue du Président Wilson, 94230 Cachan, France
Sami Hlioui: SATIE, CNRS, Conservatoire National des Arts et Métiers (CNAM), 292 Rue Saint-Martin, 75003 Paris, France
Mhamed Belhadi: Stellantis, 212 Bd Pelletier, 78955 Carrières-sous-Poissy, France
Guillaume Mermaz Rollet: Stellantis, 212 Bd Pelletier, 78955 Carrières-sous-Poissy, France
Mohamed Gabsi: SATIE, CNRS, Ecole Normale Supérieure Paris-Saclay, 61 Avenue du Président Wilson, 94230 Cachan, France
Yuan Cheng: Groupe PSA, Route de Gisy, 78140 Vélizy, France

Energies, 2021, vol. 14, issue 21, 1-21

Abstract: This paper presents a comparison between two design methodologies applied to permanent magnet synchronous machines for hybrid and electric vehicles (HEVs and EVs). Both methodologies are based on 2D finite element models and coupled to a genetic algorithm to optimize complex non-linear geometries such as multi-layer permanent magnet machines. To reduce the computation duration to evaluate Induced Voltage and Iron Losses for a given electrical machine configuration, a new methodology based on geometrical symmetries and magnetic symmetries are used and is detailed. Two electromagnetic models have been developed and used in the design stage. The first model was the stepped rotor position finite element analysis called abc model which considered the spatial harmonics without any approximation of the waveform of flux linkage inside the stator, and the second model was based on a fixed rotor position called dq model, with the approximation that the waveform of flux linkage inside the stator was sinuous. These two methodologies are applied to the design of a synchronous machine for HEVs and EVs applications. Design results and performances are analyzed, and the advantages and drawbacks of each methodology are presented. It was found that the dq model is at least 5 times faster than the abc model with high precision for both the torque and induce voltage evaluation in most cases. However, it is not the case for the iron losses computation. The iron loss model based on dq model is less accurate than the abc model with a relative deviation from the abc model greater than 70% at high control angle. The choice of the electromagnetic model during the optimization process will therefore influence the geometry and the performances of the obtained electrical machine after the optimization.

Keywords: synchronous machines; electric vehicles; hybrid electric vehicles; optimal design; multi-layer permanent magnet machines (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: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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