Data driven modelling of fluid mechanical systems for fuel injection control

Stringent emission regulations, such as Euro 7, are driving the automotive industry to enhance the precision of their fuel management systems. Achieving accurate fuel injection is critical to meeting these standards, which requires advanced and computationally efficient modelling of injection dynami...

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Detalles Bibliográficos
Autor: Putri, Andrea Eka
Tipo de recurso: tesis de maestría
Fecha de publicación:2025
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:2117/442173
Acceso en línea:https://hdl.handle.net/2117/442173
Access Level:acceso abierto
Palabra clave:Fluid mechanics
Fluid dynamics
Nonlinear theories
Mecànica de fluids
Dinàmica de fluids
Teories no lineals
Àrees temàtiques de la UPC::Enginyeria mecànica
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spelling Data driven modelling of fluid mechanical systems for fuel injection controlPutri, Andrea EkaFluid mechanicsFluid dynamicsNonlinear theoriesMecànica de fluidsDinàmica de fluidsTeories no linealsÀrees temàtiques de la UPC::Enginyeria mecànicaStringent emission regulations, such as Euro 7, are driving the automotive industry to enhance the precision of their fuel management systems. Achieving accurate fuel injection is critical to meeting these standards, which requires advanced and computationally efficient modelling of injection dynamics. This thesis focuses on simplifying the complex fuel injection process by developing a one-dimensional model of the fuel system that balances accuracy with computational efficiency. Building on this, the project applies Sparse Identification of Nonlinear Dynamics (SINDy) to extract reducedordermodels(ROMs)fromsimulationdata. TheseROMs,whichareessentially 0D, capture the essential fluid mechanical behavior of the injection system at a fraction of the computational cost, enabling faster simulations while retaining key dynamics. By combining physics-based modeling with data-driven methods, the work highlights the potential of ROMs for real-time control and system optimization. Thethesis was carried out at Scania in Södertälje, Sweden, and contributes to ongoing efforts to integrate accurate yet lightweight models into embedded automotive applications.OutgoingUniversitat Politècnica de CatalunyaOliet Casasayas, CarlesAguilar, Jose G.20252025-06-2720252025-09-19master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/442173reponame: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:2117/4421732026-05-27T15:37:01Z
dc.title.none.fl_str_mv Data driven modelling of fluid mechanical systems for fuel injection control
title Data driven modelling of fluid mechanical systems for fuel injection control
spellingShingle Data driven modelling of fluid mechanical systems for fuel injection control
Putri, Andrea Eka
Fluid mechanics
Fluid dynamics
Nonlinear theories
Mecànica de fluids
Dinàmica de fluids
Teories no lineals
Àrees temàtiques de la UPC::Enginyeria mecànica
title_short Data driven modelling of fluid mechanical systems for fuel injection control
title_full Data driven modelling of fluid mechanical systems for fuel injection control
title_fullStr Data driven modelling of fluid mechanical systems for fuel injection control
title_full_unstemmed Data driven modelling of fluid mechanical systems for fuel injection control
title_sort Data driven modelling of fluid mechanical systems for fuel injection control
dc.creator.none.fl_str_mv Putri, Andrea Eka
author Putri, Andrea Eka
author_facet Putri, Andrea Eka
author_role author
dc.contributor.none.fl_str_mv Oliet Casasayas, Carles
Aguilar, Jose G.
dc.subject.none.fl_str_mv Fluid mechanics
Fluid dynamics
Nonlinear theories
Mecànica de fluids
Dinàmica de fluids
Teories no lineals
Àrees temàtiques de la UPC::Enginyeria mecànica
topic Fluid mechanics
Fluid dynamics
Nonlinear theories
Mecànica de fluids
Dinàmica de fluids
Teories no lineals
Àrees temàtiques de la UPC::Enginyeria mecànica
description Stringent emission regulations, such as Euro 7, are driving the automotive industry to enhance the precision of their fuel management systems. Achieving accurate fuel injection is critical to meeting these standards, which requires advanced and computationally efficient modelling of injection dynamics. This thesis focuses on simplifying the complex fuel injection process by developing a one-dimensional model of the fuel system that balances accuracy with computational efficiency. Building on this, the project applies Sparse Identification of Nonlinear Dynamics (SINDy) to extract reducedordermodels(ROMs)fromsimulationdata. TheseROMs,whichareessentially 0D, capture the essential fluid mechanical behavior of the injection system at a fraction of the computational cost, enabling faster simulations while retaining key dynamics. By combining physics-based modeling with data-driven methods, the work highlights the potential of ROMs for real-time control and system optimization. Thethesis was carried out at Scania in Södertälje, Sweden, and contributes to ongoing efforts to integrate accurate yet lightweight models into embedded automotive applications.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-06-27
2025
2025-09-19
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/2117/442173
url https://hdl.handle.net/2117/442173
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
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score 15,811543

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