Modeling and Control Strategies for a Fuel Cell System
Xing, Yashan
Sold by Buchpark, Trebbin, Germany
AbeBooks Seller since September 30, 2021
Used - Hardcover
Condition: Hervorragend
Ships from Germany to U.S.A.
Quantity: 1 available
Add to basketSold by Buchpark, Trebbin, Germany
AbeBooks Seller since September 30, 2021
Condition: Hervorragend
Quantity: 1 available
Add to basketZustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
Seller Inventory # 41404508/1
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.
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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