Modeling and Control Strategies for a Fuel Cell System [electronic resource] / by Yashan Xing.

Por: Xing, Yashan [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Springer Theses, Recognizing Outstanding Ph.D. ResearchEditor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XVIII, 173 p. 94 illus., 75 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031151125Tema(s): Control engineering | Fuel cells | Materials | Hydrogen as fuel | Control and Systems Theory | Fuel Cells | Hydrogen EnergyFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8312 | 003 Clasificación LoC:TJ212-225Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction -- Modeling of Fuel Cell Systems -- Model Tuning and Validation.
En: Springer Nature eBookResumen: This book reports on a comprehensive study on the modeling, online and offline parameter estimation and control strategies for fuel cell systems. Upon reviewing the control-oriented modeling of proton-exchange membrane fuel cell systems (PEMFC) and solid oxide fuel cell systems (SOFC), it describes a new a set of methodologies to estimate the parameters of these models, both online and offline. In turn, it reports on the design of different control systems for PEMFC and SOFC. Experimental findings are shown to demonstrate the efficiency of the newly developed methods in practical applications, and their improved performance over classical methods.
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Introduction -- Modeling of Fuel Cell Systems -- Model Tuning and Validation.

This book reports on a comprehensive study on the modeling, online and offline parameter estimation and control strategies for fuel cell systems. Upon reviewing the control-oriented modeling of proton-exchange membrane fuel cell systems (PEMFC) and solid oxide fuel cell systems (SOFC), it describes a new a set of methodologies to estimate the parameters of these models, both online and offline. In turn, it reports on the design of different control systems for PEMFC and SOFC. Experimental findings are shown to demonstrate the efficiency of the newly developed methods in practical applications, and their improved performance over classical methods.

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