國立高雄大學圖資館 |

Language: English

Back

Modeling and control strategies for a fuel cell system

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling and control strategies for a fuel cell systemby Yashan Xing.
Author:	Xing, Yashan.
Published:	Cham :Springer International Publishing :2023.
Description:	xviii, 173 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Fuel cellsMathematical models.
Online resource:	https://doi.org/10.1007/978-3-031-15112-5
ISBN:	9783031151125$q(electronic bk.)

Modeling and control strategies for a fuel cell system
Xing, Yashan.

Modeling and control strategies for a fuel cell system[electronic resource] /by Yashan Xing. - Cham :Springer International Publishing :2023. - xviii, 173 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5061. - Springer theses..

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.

ISBN: 9783031151125$q(electronic bk.)

Standard No.: 10.1007/978-3-031-15112-5doiSubjects--Topical Terms:

536362
Fuel cells
--Mathematical models.

LC Class. No.: TK2931 / .X56 2023

Dewey Class. No.: 621.312429

Modeling and control strategies for a fuel cell system
LDR:01812nmm a2200349 a 4500 001 640233
003 DE-He213
005 20230124055851.0
006 m d
007 cr nn 008maaau
008 231025s2023 sz s 0 eng d
020 $a 9783031151125$q(electronic bk.)
020 $a 9783031151118$q(paper)
024 7 $a 10.1007/978-3-031-15112-5 $2 doi
035 $a 978-3-031-15112-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK2931 $b .X56 2023
072 7 $a TJFM $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 621.312429 $2 23
090 $a TK2931 $b .X6 2023
100 1 $a Xing, Yashan. $3 946815
245 1 0 $a Modeling and control strategies for a fuel cell system $h [electronic resource] / $c by Yashan Xing.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xviii, 173 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5061
505 0 $a Introduction -- Modeling of Fuel Cell Systems -- Model Tuning and Validation.
520 $a 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.
650 0 $a Fuel cells $x Mathematical models. $3 536362
650 0 $a Fuel cells $x Computer simulation. $3 921975
650 0 $a Automatic control. $3 182078
650 1 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Fuel Cells. $3 919597
650 2 4 $a Hydrogen Energy. $3 921385
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer theses. $3 557607
856 4 0 $u https://doi.org/10.1007/978-3-031-15112-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)