General sizing of permanent magnet motors
This thesis presents the development of an open-source optimisation framework for the prelim- inary design and comparative analysis of high-performance permanent magnet synchronous motors (PMSMs). The proposed methodology combines multi-objective evolutionary optimi- sation with finite element elect...
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| Format: | master thesis |
| Publication Date: | 2026 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/456716 |
| Online Access: | https://hdl.handle.net/2117/456716 |
| Access Level: | Open access |
| Keyword: | Electric machines Electric motors Electric driving Màquines elèctriques Motors elèctrics Accionament elèctric Àrees temàtiques de la UPC::Enginyeria elèctrica |
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General sizing of permanent magnet motorsSerracanta Pujol, BielElectric machinesElectric motorsElectric drivingMàquines elèctriquesMotors elèctricsAccionament elèctricÀrees temàtiques de la UPC::Enginyeria elèctricaThis thesis presents the development of an open-source optimisation framework for the prelim- inary design and comparative analysis of high-performance permanent magnet synchronous motors (PMSMs). The proposed methodology combines multi-objective evolutionary optimi- sation with finite element electromagnetic simulations to systematically explore the trade-offs inherent in electric machine design. The optimisation problem is formulated using the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), enabling the simultaneous optimisation of conflicting objectives such as maximising electromagnetic torque and minimising active mass. Candidate motor geometries are evaluated through automated two-dimensional magnetostatic simulations using FEMM 4.2, with geome- try generation, meshing, solution and post-processing fully scripted via Python. This approach allows thousands of physically consistent motor designs to be analysed under realistic electro- magnetic constraints, including magnetic saturation limits, current density bounds and inverter voltage restrictions. The framework is applied to a representative high-performance traction application based on Formula Student in-wheel motor requirements. Electrical, geometrical and thermal constraints derived from the vehicle powertrain define a realistic and highly coupled design space. The optimisation results produce Pareto fronts that clearly reveal the trade-off between torque ca- pability and machine mass, while highlighting the impact of magnetic loading, slot geometry, magnet thickness and axial length on overall performance. Beyond demonstrating numerical convergence and computational scalability through parallel evaluation, the results confirm that the obtained solutions follow physically meaningful trends consistent with established electric machine design theory. The framework is shown to be suit- able for early-stage motor sizing, topology comparison and design space exploration. By relying exclusively on open-source tools, the proposed methodology offers a transparent, extensible and cost-effective alternative to commercial motor design software. It provides a valuable platform for both academic research and engineering education, while supporting the long-term objective of developing in-house motor design capabilities for high-performance elec- tric propulsion systems.Universitat Politècnica de CatalunyaMedina Iglesias, Vicente César de20262026-02-0420262026-03-04master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/456716reponame: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:2117/4567162026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
General sizing of permanent magnet motors |
| title |
General sizing of permanent magnet motors |
| spellingShingle |
General sizing of permanent magnet motors Serracanta Pujol, Biel Electric machines Electric motors Electric driving Màquines elèctriques Motors elèctrics Accionament elèctric Àrees temàtiques de la UPC::Enginyeria elèctrica |
| title_short |
General sizing of permanent magnet motors |
| title_full |
General sizing of permanent magnet motors |
| title_fullStr |
General sizing of permanent magnet motors |
| title_full_unstemmed |
General sizing of permanent magnet motors |
| title_sort |
General sizing of permanent magnet motors |
| dc.creator.none.fl_str_mv |
Serracanta Pujol, Biel |
| author |
Serracanta Pujol, Biel |
| author_facet |
Serracanta Pujol, Biel |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Medina Iglesias, Vicente César de |
| dc.subject.none.fl_str_mv |
Electric machines Electric motors Electric driving Màquines elèctriques Motors elèctrics Accionament elèctric Àrees temàtiques de la UPC::Enginyeria elèctrica |
| topic |
Electric machines Electric motors Electric driving Màquines elèctriques Motors elèctrics Accionament elèctric Àrees temàtiques de la UPC::Enginyeria elèctrica |
| description |
This thesis presents the development of an open-source optimisation framework for the prelim- inary design and comparative analysis of high-performance permanent magnet synchronous motors (PMSMs). The proposed methodology combines multi-objective evolutionary optimi- sation with finite element electromagnetic simulations to systematically explore the trade-offs inherent in electric machine design. The optimisation problem is formulated using the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), enabling the simultaneous optimisation of conflicting objectives such as maximising electromagnetic torque and minimising active mass. Candidate motor geometries are evaluated through automated two-dimensional magnetostatic simulations using FEMM 4.2, with geome- try generation, meshing, solution and post-processing fully scripted via Python. This approach allows thousands of physically consistent motor designs to be analysed under realistic electro- magnetic constraints, including magnetic saturation limits, current density bounds and inverter voltage restrictions. The framework is applied to a representative high-performance traction application based on Formula Student in-wheel motor requirements. Electrical, geometrical and thermal constraints derived from the vehicle powertrain define a realistic and highly coupled design space. The optimisation results produce Pareto fronts that clearly reveal the trade-off between torque ca- pability and machine mass, while highlighting the impact of magnetic loading, slot geometry, magnet thickness and axial length on overall performance. Beyond demonstrating numerical convergence and computational scalability through parallel evaluation, the results confirm that the obtained solutions follow physically meaningful trends consistent with established electric machine design theory. The framework is shown to be suit- able for early-stage motor sizing, topology comparison and design space exploration. By relying exclusively on open-source tools, the proposed methodology offers a transparent, extensible and cost-effective alternative to commercial motor design software. It provides a valuable platform for both academic research and engineering education, while supporting the long-term objective of developing in-house motor design capabilities for high-performance elec- tric propulsion systems. |
| publishDate |
2026 |
| dc.date.none.fl_str_mv |
2026 2026-02-04 2026 2026-03-04 |
| dc.type.none.fl_str_mv |
master thesis http://purl.org/coar/resource_type/c_bdcc NA http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/masterThesis |
| format |
masterThesis |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/456716 |
| url |
https://hdl.handle.net/2117/456716 |
| 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 |
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open access http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universitat Politècnica de Catalunya |
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Universitat Politècnica de Catalunya |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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1869409892228399104 |
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15,812455 |