Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control

Autores
Kunusch, Cristian; Puleston, Pablo Federico; Mayosky, Miguel Angel
Año de publicación
2012
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
The feasibility of SOSM techniques to control PEM fuel cells is evaluated in this chapter. Assessment is accomplished through simulations, using a benchmark model of a fuel cell system for an electric vehicle. The viability of SOSM techniques for oxygen stoichiometry control, with the prime objective of improving the overall energy efficiency, is established. Taking into account several features, such as the controlled system performance, robustness and implementation simplicity, the SOSM controllers prove to be a highly efficient solution for this challenging problem. Among them, theSuper-Twisting emerges as a very suitable algorithm for the fuel cell stack, given that it is specially intended for relative degree one systems and only requires real-time knowledge of the sliding variable. Comparisons with standard LQR control are conducted. SOSM controllers demonstrate better robustness features in a wide range of operation. Additionally, no state observers are required, resulting in a simple and low computational cost control solution for this type of applications.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
Materia
Ingeniería Electrónica
Fuel Cell
Mass Flow Rate
Linear Quadratic Regulator
Fuel Cell System
Oxygen Stoichiometry
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/132553
Acceder
id SEDICI_53d1057af106bc654a88a47e88ee11bc
oai_identifier_str oai:sedici.unlp.edu.ar:10915/132553
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry ControlKunusch, CristianPuleston, Pablo FedericoMayosky, Miguel AngelIngeniería ElectrónicaFuel CellMass Flow RateLinear Quadratic RegulatorFuel Cell SystemOxygen StoichiometryThe feasibility of SOSM techniques to control PEM fuel cells is evaluated in this chapter. Assessment is accomplished through simulations, using a benchmark model of a fuel cell system for an electric vehicle. The viability of SOSM techniques for oxygen stoichiometry control, with the prime objective of improving the overall energy efficiency, is established. Taking into account several features, such as the controlled system performance, robustness and implementation simplicity, the SOSM controllers prove to be a highly efficient solution for this challenging problem. Among them, theSuper-Twisting emerges as a very suitable algorithm for the fuel cell stack, given that it is specially intended for relative degree one systems and only requires real-time knowledge of the sliding variable. Comparisons with standard LQR control are conducted. SOSM controllers demonstrate better robustness features in a wide range of operation. Additionally, no state observers are required, resulting in a simple and low computational cost control solution for this type of applications.Instituto de Investigaciones en Electrónica, Control y Procesamiento de SeñalesSpringer, London2012info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionCapitulo de librohttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdf73-103http://sedici.unlp.edu.ar/handle/10915/132553enginfo:eu-repo/semantics/altIdentifier/isbn/978-1-4471-2431-3info:eu-repo/semantics/altIdentifier/issn/1430-9491info:eu-repo/semantics/altIdentifier/issn/2193-1577info:eu-repo/semantics/altIdentifier/doi/10.1007/978-1-4471-2431-3_4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-02-05T12:18:18Zoai:sedici.unlp.edu.ar:10915/132553Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-02-05 12:18:18.722SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
title Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
spellingShingle Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
Kunusch, Cristian
Ingeniería Electrónica
Fuel Cell
Mass Flow Rate
Linear Quadratic Regulator
Fuel Cell System
Oxygen Stoichiometry
title_short Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
title_full Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
title_fullStr Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
title_full_unstemmed Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
title_sort Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
dc.creator.none.fl_str_mv Kunusch, Cristian
Puleston, Pablo Federico
Mayosky, Miguel Angel
author Kunusch, Cristian
author_facet Kunusch, Cristian
Puleston, Pablo Federico
Mayosky, Miguel Angel
author_role author
author2 Puleston, Pablo Federico
Mayosky, Miguel Angel
author2_role author
author
dc.subject.none.fl_str_mv Ingeniería Electrónica
Fuel Cell
Mass Flow Rate
Linear Quadratic Regulator
Fuel Cell System
Oxygen Stoichiometry
topic Ingeniería Electrónica
Fuel Cell
Mass Flow Rate
Linear Quadratic Regulator
Fuel Cell System
Oxygen Stoichiometry
dc.description.none.fl_txt_mv The feasibility of SOSM techniques to control PEM fuel cells is evaluated in this chapter. Assessment is accomplished through simulations, using a benchmark model of a fuel cell system for an electric vehicle. The viability of SOSM techniques for oxygen stoichiometry control, with the prime objective of improving the overall energy efficiency, is established. Taking into account several features, such as the controlled system performance, robustness and implementation simplicity, the SOSM controllers prove to be a highly efficient solution for this challenging problem. Among them, theSuper-Twisting emerges as a very suitable algorithm for the fuel cell stack, given that it is specially intended for relative degree one systems and only requires real-time knowledge of the sliding variable. Comparisons with standard LQR control are conducted. SOSM controllers demonstrate better robustness features in a wide range of operation. Additionally, no state observers are required, resulting in a simple and low computational cost control solution for this type of applications.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
description The feasibility of SOSM techniques to control PEM fuel cells is evaluated in this chapter. Assessment is accomplished through simulations, using a benchmark model of a fuel cell system for an electric vehicle. The viability of SOSM techniques for oxygen stoichiometry control, with the prime objective of improving the overall energy efficiency, is established. Taking into account several features, such as the controlled system performance, robustness and implementation simplicity, the SOSM controllers prove to be a highly efficient solution for this challenging problem. Among them, theSuper-Twisting emerges as a very suitable algorithm for the fuel cell stack, given that it is specially intended for relative degree one systems and only requires real-time knowledge of the sliding variable. Comparisons with standard LQR control are conducted. SOSM controllers demonstrate better robustness features in a wide range of operation. Additionally, no state observers are required, resulting in a simple and low computational cost control solution for this type of applications.
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
Capitulo de libro
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/132553
url http://sedici.unlp.edu.ar/handle/10915/132553
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-1-4471-2431-3
info:eu-repo/semantics/altIdentifier/issn/1430-9491
info:eu-repo/semantics/altIdentifier/issn/2193-1577
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-1-4471-2431-3_4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
73-103
dc.publisher.none.fl_str_mv Springer, London
publisher.none.fl_str_mv Springer, London
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1856307016170995712
score 13.11174

Publicaciones similares