Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle

Autores
Perez, Laura Virginia; de Angelo, Cristian Hernan; Pereyra, Víctor
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
To minimize the fuel consumption in hybrid electric vehicles, it is necessary to define a strategy for the management of the power flows within the vehicle. Under the assumption that the velocity to be developed by the vehicle is known a priori, this problem may be posed as a nonlinear optimal control problem with control and state constraints. We find the solution to this problem using the optimality conditions given by the Pontryagin Maximum Principle. This leads to boundary value problems that we solve using a software tool named PASVA4. On real time operation, the velocity to be developed by the vehicle is not known in advance. We show how the adjoint state obtained from the former problem may be used as a weighing factor, called ‘‘equivalent consumption’’. This weighing factor may be used to design suboptimal real time algorithms for power management.
Fil: Perez, Laura Virginia. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pereyra, Víctor. San Diego State University; Estados Unidos
Materia
Non linear constrained optimal control
Pontryagin Maximum Principle
Boundary value problems solvers
Hybrid electric vehicles
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/23321
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehiclePerez, Laura Virginiade Angelo, Cristian HernanPereyra, VíctorNon linear constrained optimal controlPontryagin Maximum PrincipleBoundary value problems solversHybrid electric vehicleshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2To minimize the fuel consumption in hybrid electric vehicles, it is necessary to define a strategy for the management of the power flows within the vehicle. Under the assumption that the velocity to be developed by the vehicle is known a priori, this problem may be posed as a nonlinear optimal control problem with control and state constraints. We find the solution to this problem using the optimality conditions given by the Pontryagin Maximum Principle. This leads to boundary value problems that we solve using a software tool named PASVA4. On real time operation, the velocity to be developed by the vehicle is not known in advance. We show how the adjoint state obtained from the former problem may be used as a weighing factor, called ‘‘equivalent consumption’’. This weighing factor may be used to design suboptimal real time algorithms for power management.Fil: Perez, Laura Virginia. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pereyra, Víctor. San Diego State University; Estados UnidosElsevier2011-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/23321Perez, Laura Virginia; de Angelo, Cristian Hernan; Pereyra, Víctor; Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle; Elsevier; Mathematical And Computer Modelling; 57; 9-10; 7-2011; 2257-22660895-7177CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.mcm.2011.06.058info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0895717711003992info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:34Zoai:ri.conicet.gov.ar:11336/23321instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:34.978CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle
title Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle
spellingShingle Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle
Perez, Laura Virginia
Non linear constrained optimal control
Pontryagin Maximum Principle
Boundary value problems solvers
Hybrid electric vehicles
title_short Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle
title_full Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle
title_fullStr Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle
title_full_unstemmed Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle
title_sort Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle
dc.creator.none.fl_str_mv Perez, Laura Virginia
de Angelo, Cristian Hernan
Pereyra, Víctor
author Perez, Laura Virginia
author_facet Perez, Laura Virginia
de Angelo, Cristian Hernan
Pereyra, Víctor
author_role author
author2 de Angelo, Cristian Hernan
Pereyra, Víctor
author2_role author
author
dc.subject.none.fl_str_mv Non linear constrained optimal control
Pontryagin Maximum Principle
Boundary value problems solvers
Hybrid electric vehicles
topic Non linear constrained optimal control
Pontryagin Maximum Principle
Boundary value problems solvers
Hybrid electric vehicles
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv To minimize the fuel consumption in hybrid electric vehicles, it is necessary to define a strategy for the management of the power flows within the vehicle. Under the assumption that the velocity to be developed by the vehicle is known a priori, this problem may be posed as a nonlinear optimal control problem with control and state constraints. We find the solution to this problem using the optimality conditions given by the Pontryagin Maximum Principle. This leads to boundary value problems that we solve using a software tool named PASVA4. On real time operation, the velocity to be developed by the vehicle is not known in advance. We show how the adjoint state obtained from the former problem may be used as a weighing factor, called ‘‘equivalent consumption’’. This weighing factor may be used to design suboptimal real time algorithms for power management.
Fil: Perez, Laura Virginia. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pereyra, Víctor. San Diego State University; Estados Unidos
description To minimize the fuel consumption in hybrid electric vehicles, it is necessary to define a strategy for the management of the power flows within the vehicle. Under the assumption that the velocity to be developed by the vehicle is known a priori, this problem may be posed as a nonlinear optimal control problem with control and state constraints. We find the solution to this problem using the optimality conditions given by the Pontryagin Maximum Principle. This leads to boundary value problems that we solve using a software tool named PASVA4. On real time operation, the velocity to be developed by the vehicle is not known in advance. We show how the adjoint state obtained from the former problem may be used as a weighing factor, called ‘‘equivalent consumption’’. This weighing factor may be used to design suboptimal real time algorithms for power management.
publishDate 2011
dc.date.none.fl_str_mv 2011-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/23321
Perez, Laura Virginia; de Angelo, Cristian Hernan; Pereyra, Víctor; Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle; Elsevier; Mathematical And Computer Modelling; 57; 9-10; 7-2011; 2257-2266
0895-7177
CONICET Digital
CONICET
url http://hdl.handle.net/11336/23321
identifier_str_mv Perez, Laura Virginia; de Angelo, Cristian Hernan; Pereyra, Víctor; Determination of the adjoint state evolution for the efficient operation of a hybrid electric vehicle; Elsevier; Mathematical And Computer Modelling; 57; 9-10; 7-2011; 2257-2266
0895-7177
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mcm.2011.06.058
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0895717711003992
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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