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

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 su...

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Autores principales:	Koua Malick Cisse, Sami Hlioui, Mhamed Belhadi, Guillaume Mermaz Rollet, Mohamed Gabsi, Yuan Cheng
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	synchronous machines electric vehicles hybrid electric vehicles optimal design multi-layer permanent magnet machines Technology T
Acceso en línea:	https://doaj.org/article/8c48321c80ed4ee29a33156d3b058674
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spelling	oai:doaj.org-article:8c48321c80ed4ee29a33156d3b0586742021-11-11T15:54:38ZDesign Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications10.3390/en142171161996-1073https://doaj.org/article/8c48321c80ed4ee29a33156d3b0586742021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7116https://doaj.org/toc/1996-1073This 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.Koua Malick CisseSami HliouiMhamed BelhadiGuillaume Mermaz RolletMohamed GabsiYuan ChengMDPI AGarticlesynchronous machineselectric vehicleshybrid electric vehiclesoptimal designmulti-layer permanent magnet machinesTechnologyTENEnergies, Vol 14, Iss 7116, p 7116 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	synchronous machines electric vehicles hybrid electric vehicles optimal design multi-layer permanent magnet machines Technology T
spellingShingle	synchronous machines electric vehicles hybrid electric vehicles optimal design multi-layer permanent magnet machines Technology T Koua Malick Cisse Sami Hlioui Mhamed Belhadi Guillaume Mermaz Rollet Mohamed Gabsi Yuan Cheng Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications
description	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.
format	article
author	Koua Malick Cisse Sami Hlioui Mhamed Belhadi Guillaume Mermaz Rollet Mohamed Gabsi Yuan Cheng
author_facet	Koua Malick Cisse Sami Hlioui Mhamed Belhadi Guillaume Mermaz Rollet Mohamed Gabsi Yuan Cheng
author_sort	Koua Malick Cisse
title	Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications
title_short	Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications
title_full	Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications
title_fullStr	Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications
title_full_unstemmed	Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications
title_sort	design optimization of multi-layer permanent magnet synchronous machines for electric vehicle applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8c48321c80ed4ee29a33156d3b058674
work_keys_str_mv	AT kouamalickcisse designoptimizationofmultilayerpermanentmagnetsynchronousmachinesforelectricvehicleapplications AT samihlioui designoptimizationofmultilayerpermanentmagnetsynchronousmachinesforelectricvehicleapplications AT mhamedbelhadi designoptimizationofmultilayerpermanentmagnetsynchronousmachinesforelectricvehicleapplications AT guillaumemermazrollet designoptimizationofmultilayerpermanentmagnetsynchronousmachinesforelectricvehicleapplications AT mohamedgabsi designoptimizationofmultilayerpermanentmagnetsynchronousmachinesforelectricvehicleapplications AT yuancheng designoptimizationofmultilayerpermanentmagnetsynchronousmachinesforelectricvehicleapplications
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Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications

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