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Modeling and Control Strategies for a Fuel Cell System: Springer Theses

Autor Yashan Xing
en Limba Engleză Paperback – 25 ian 2024
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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Specificații

ISBN-13: 9783031151149
ISBN-10: 3031151143
Ilustrații: XVIII, 173 p. 94 illus., 75 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.28 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Modeling of Fuel Cell Systems.- Model Tuning and Validation.

Textul de pe ultima copertă

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.

Caracteristici

Nominated as an outstanding thesis by the Universitat Politècnica de Catalunya, Spain Reports on novel parameter estimation methods and control systems for fuel cells Paves the way to the automation and further improvement of the operation of fuel cells