DocumentCode
2842180
Title
Modeling for electrical characteristics of solid oxide fuel cell based on fractional calculus
Author
Cao, HongLiang ; Xi, Li ; Deng, ZhongHua ; Yi, Qin
Author_Institution
Dept. of Control Sci. & Technol., Huazhong Uni. of Sci. & Technol., Wuhan, China
fYear
2009
fDate
17-19 June 2009
Firstpage
319
Lastpage
322
Abstract
It´s vital for the research of electrochemical reaction in solid oxide fuel cell (SOFC) to establish accurate dynamic model of its electrical characteristics. The inherent potential polarization of SOFC is analyzed, and integer order dynamic model is established by equivalent circuit. Experimental data is studied by electrochemical impedance spectroscopy (EIS), and its novel fractional order dynamic model is proposed exploringly based on the capacitor theory. Then, the parameters of integer order and fractional order models are optimized by genetic algorithm. Finally, according to the comparison of integer order dynamic model, fractional order dynamic model and impedance spectra of experimental data, the conclusion can be obtained that electric double- layer in electrode/electrolyte interface have non-integer order characteristics, and potential polarization of SOFC is more suitable to be characterized via fractional order dynamic model.
Keywords
calculus; electrochemical electrodes; electrochemical impedance spectroscopy; genetic algorithms; solid oxide fuel cells; capacitor theory; electrical characteristics; electrochemical impedance spectroscopy; electrochemical reaction; electrode-electrolyte interface; fractional calculus; fractional order dynamic model; genetic algorithm; integer order dynamic model; solid oxide fuel cell; Capacitors; Electric variables; Electrochemical impedance spectroscopy; Electrodes; Equivalent circuits; Fractional calculus; Fuel cells; Genetic algorithms; Polarization; Solid modeling; Electrochemical Impedance Spectroscopy; Equivalent Circuit; Fractional Order Dynamic Model; Genetic Algorithm; Integer Order Dynamic Model; Solid Oxide Fuel Cell;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195103
Filename
5195103
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