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

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 objectiv...

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Autores principales: Kunusch, Cristian, Puleston, Pablo Federico, Mayosky, Miguel Angel
Formato: Libro Capitulo de libro
Lenguaje:Inglés
Publicado: Springer, London 2012
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/132553
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id I19-R120-10915-132553
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería Electrónica
Fuel Cell
Mass Flow Rate
Linear Quadratic Regulator
Fuel Cell System
Oxygen Stoichiometry
spellingShingle Ingeniería Electrónica
Fuel Cell
Mass Flow Rate
Linear Quadratic Regulator
Fuel Cell System
Oxygen Stoichiometry
Kunusch, Cristian
Puleston, Pablo Federico
Mayosky, Miguel Angel
Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
topic_facet Ingeniería Electrónica
Fuel Cell
Mass Flow Rate
Linear Quadratic Regulator
Fuel Cell System
Oxygen Stoichiometry
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.
format Libro
Capitulo de libro
author Kunusch, Cristian
Puleston, Pablo Federico
Mayosky, Miguel Angel
author_facet Kunusch, Cristian
Puleston, Pablo Federico
Mayosky, Miguel Angel
author_sort Kunusch, Cristian
title Assessment of SOSM Techniques Applied to Fuel Cells : Case Study: Electric Vehicle Stoichiometry Control
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
publisher Springer, London
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/132553
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AT mayoskymiguelangel assessmentofsosmtechniquesappliedtofuelcellscasestudyelectricvehiclestoichiometrycontrol
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