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Modeling and Control Strategies for a Fuel Cell System [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Xing, Yashan
  • Author:  Xing, Yashan
  • ISBN-10:  3031151143
  • ISBN-10:  3031151143
  • ISBN-13:  9783031151149
  • ISBN-13:  9783031151149
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  3031151143-11-SPRI
  • SKU:  3031151143-11-SPRI
  • Pages:  173
  • Pages:  173
  • Item ID: 106799502
  • List Price: $199.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 16 to Oct 18
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

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.

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.

Nominated as an outstanding thesis by the Universitat Polit?cnica 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
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