Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability

Automotive applications focus to develop drive-train technologies with higher energy efficiency and lower environmental impact. Electric and hybrid vehicles are gaining popularity since they fulfill these requirements . The aim of optimal motor design is to achieve high torque and power densities, w...

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Autor: López Torres, Carlos|||0000-0003-0909-2987
Tipo de recurso: tesis doctoral
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/121037
Acceso en línea:https://hdl.handle.net/2117/121037
https://dx.doi.org/10.5821/dissertation-2117-121037
Access Level:acceso abierto
Palabra clave:Synchronous reluctance motor
Magnetic analysis
Behaviors maps
Permanent magnet motor
Thermal analysis
Control parameters
Design
Genetic algorithm
Optimization
Electrical analysis
Àrees temàtiques de la UPC::Enginyeria elèctrica
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oai_identifier_str oai:upcommons.upc.edu:2117/121037
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability
title Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability
spellingShingle Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability
López Torres, Carlos|||0000-0003-0909-2987
Synchronous reluctance motor
Magnetic analysis
Behaviors maps
Permanent magnet motor
Thermal analysis
Control parameters
Design
Genetic algorithm
Optimization
Electrical analysis
Àrees temàtiques de la UPC::Enginyeria elèctrica
title_short Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability
title_full Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability
title_fullStr Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability
title_full_unstemmed Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability
title_sort Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliability
dc.creator.none.fl_str_mv López Torres, Carlos|||0000-0003-0909-2987
author López Torres, Carlos|||0000-0003-0909-2987
author_facet López Torres, Carlos|||0000-0003-0909-2987
author_role author
dc.contributor.none.fl_str_mv García Espinosa, Antonio
Romeral Martínez, José Luis
dc.subject.none.fl_str_mv Synchronous reluctance motor
Magnetic analysis
Behaviors maps
Permanent magnet motor
Thermal analysis
Control parameters
Design
Genetic algorithm
Optimization
Electrical analysis
Àrees temàtiques de la UPC::Enginyeria elèctrica
topic Synchronous reluctance motor
Magnetic analysis
Behaviors maps
Permanent magnet motor
Thermal analysis
Control parameters
Design
Genetic algorithm
Optimization
Electrical analysis
Àrees temàtiques de la UPC::Enginyeria elèctrica
description Automotive applications focus to develop drive-train technologies with higher energy efficiency and lower environmental impact. Electric and hybrid vehicles are gaining popularity since they fulfill these requirements . The aim of optimal motor design is to achieve high torque and power densities, wider speed range and high efficiency within the area defining the most frequent operating points. This work presents a methodology to optimize electric motors for traction applications considering a multi-physics approach. The magnetic behavior is evaluated using a complex reluctance networks capable to compute the cross-coupling. The results of the magnetic model are the inductances, iron losses, and magnet flux linkage. The thermal behavior is evaluated using a thermal network and it is coupled with the magnetic model. The electric model is feed with the solution of the thermal and magnetic model. The electric model aims to calculate the whole operating area of the motor to allow optimizing the machine considering the most frequent operating zone. Therefore, a fast tool to evaluate different variables within the torque-speed map is convenient for this purpose. In this context, starting from a preliminary motor design, and taking into account motor cross-coupling effects and power losses, this thesis presents a new methodology for optimizing and evaluating the behavior of permanent magnet machines, such as synchronous reluctance machines, and permanent magnet assisted synchronous reluctance machines, in all operational points. Apart from the torque and efficiency, many other electrical variables can be obtained, such as the current space vector angle, power factor or electrical power among others. The proposed methodology also allows optimizing the design of the machine under a pre­established control law; thus obtaining the current set point trajectory in the dq frame and allowing a fast and accurate evaluation of motor performance.The results obtained by means of the proposed simulation tool are compared against finite element analysis simulations and experimental data, thus validating the usefulness and accuracy of the proposed methodology.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-07-12
2018
2018-09-12
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/121037
https://dx.doi.org/10.5821/dissertation-2117-121037
url https://hdl.handle.net/2117/121037
https://dx.doi.org/10.5821/dissertation-2117-121037
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420162984181760
spelling Analysis and implementation of a methodology for optimal PMa-SynRM design taking into account performances and reliabilityLópez Torres, Carlos|||0000-0003-0909-2987Synchronous reluctance motorMagnetic analysisBehaviors mapsPermanent magnet motorThermal analysisControl parametersDesignGenetic algorithmOptimizationElectrical analysisÀrees temàtiques de la UPC::Enginyeria elèctricaAutomotive applications focus to develop drive-train technologies with higher energy efficiency and lower environmental impact. Electric and hybrid vehicles are gaining popularity since they fulfill these requirements . The aim of optimal motor design is to achieve high torque and power densities, wider speed range and high efficiency within the area defining the most frequent operating points. This work presents a methodology to optimize electric motors for traction applications considering a multi-physics approach. The magnetic behavior is evaluated using a complex reluctance networks capable to compute the cross-coupling. The results of the magnetic model are the inductances, iron losses, and magnet flux linkage. The thermal behavior is evaluated using a thermal network and it is coupled with the magnetic model. The electric model is feed with the solution of the thermal and magnetic model. The electric model aims to calculate the whole operating area of the motor to allow optimizing the machine considering the most frequent operating zone. Therefore, a fast tool to evaluate different variables within the torque-speed map is convenient for this purpose. In this context, starting from a preliminary motor design, and taking into account motor cross-coupling effects and power losses, this thesis presents a new methodology for optimizing and evaluating the behavior of permanent magnet machines, such as synchronous reluctance machines, and permanent magnet assisted synchronous reluctance machines, in all operational points. Apart from the torque and efficiency, many other electrical variables can be obtained, such as the current space vector angle, power factor or electrical power among others. The proposed methodology also allows optimizing the design of the machine under a pre­established control law; thus obtaining the current set point trajectory in the dq frame and allowing a fast and accurate evaluation of motor performance.The results obtained by means of the proposed simulation tool are compared against finite element analysis simulations and experimental data, thus validating the usefulness and accuracy of the proposed methodology.El sector de la automoción se está centrando en las tecnologías con alta eficiencia y un bajo impacto medioambiental. En este sentido el desarrollo de vehiculos eléctricos o hibridos está ganando importancia en este sector. Por lo tanto, el diseño de motores eléctricos que cumplan las especificaciones necesarias para aplicaciones de tracción eléctrica es un punto de especial interés . El principal objetivo en la optimización de motores eléctricos es conseguir altas densidades de par o potencia, alta eficiencia y un buen factor de potencia, teniendo en cuenta la zona de trabajo más común. Este trabajo presenta una metodologia para optimización de motores eléctricos, concretamente motores de reluctancia síncrona, para aplicaciones de tracción eléctrica. Para ello es necesario crear diferentes modelos para evaluar el comportamiento eléctrico, térmico y magnético del motor así como calcular los diferentes puntos de trabajo. El modelo magnético, que está basado en redes de reluctancia, permite calcular las inductancias, el flujo magnético del imán y las pérdidas en el hierro teniendo en cuenta la saturación cruzada. El modelo térmico estará basado en redes térmicas y permite evaluar la temperatura de diferentes partes del motor (dientes, bobinado, cabezas de bobina o imanes) para evaluar la viabilidad de estos motores y definir bien el valor de algunos parámetros como la resistencia del bobinado y las propiedades magnéticas del imán. El modelo eléctrico está basado en la resolución de las ecuaciones completas del motor en los ejes dq, los parámetros necesarios (inductancias, resistencia, perdidas en el hierro, flujo del imán) serán obtenidos en los modelos magnético y térmico. En este punto, la metodología propuesta es capaz de calcular todos los puntos de operación de la máquina. Hay que remarcar que en este punto se puede calcular la eficiencia, factor de potencia, ángulo de corriente. La tesis propuesta empezará el proceso diseño optimizado del motor calculando un pre-diseño para introducirlo en un optimizador que usará los mapas calculados para evaluar su función de coste teniendo en cuenta que estos mapas estarán obtenidos considerando saturación cruzada, perdidas en el hierro y variaciones de temperatura, se puede afirmar que el motor resultante está evaluado en todos sus dominios exceptuando el mecánico. Para el análisis mecánico se propone un estudio en elementos finitos posterior a la optimización. En este análisis se podrán introducir estructuras que mejoren la resistencia mecánica del motor y que serán restricciones para una nueva optimización. Una vez cerrado el proceso iterativo entre optimización y análisis mecánico se tendria el motor final. En la tesis propuesta se usa esta metodologia para diseñar varios motores, con lo cual se permite la validación de la misma.Universitat Politècnica de CatalunyaGarcía Espinosa, AntonioRomeral Martínez, José Luis20182018-07-1220182018-09-12doctoral thesishttp://purl.org/coar/resource_type/c_db06VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/doctoralThesisapplication/pdfhttps://hdl.handle.net/2117/121037https://dx.doi.org/10.5821/dissertation-2117-121037reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1210372026-05-27T15:37:01Z
score 15.300719

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