Parameter optimization for tubular solid oxide fuel cell stack based on the dynamic model and an improved genetic algorithm

International Journal of Hydrogen Energy

Volumn 36, Issue 10, 2011, Pages 6160-6174

  Yang, Jie ^a,b,c   Li, Xi ^c   Jiang, Jian Hua ^c   Jian, Li ^c   Zhao, Lei ^a   Jiang, Jin Guo ^a   Wu, Xiao Guang ^a   Xu, Lin Hong ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b University of California   (United States)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Dynamic model; Electrochemical model; Improved genetic algorithm (IGA); Simple genetic algorithm (SGA); Solid oxide fuel cell (SOFC)

Indexed keywords

CONTROL PROCESS; ELECTROCHEMICAL MODEL; ELECTROCHEMICAL MODELS; EXPERIMENTAL DATA; HIGH OUTPUT POWER; IMPROVED GENETIC ALGORITHMS; PARAMETER OPTIMIZATION; PARAMETER OPTIMIZATION METHODS; SIMPLE GENETIC ALGORITHM; SIMULATED DATA; SUBMODELS; TUBULAR SOLID OXIDE FUEL CELLS; ELECTROCHEMICAL MODELING; SOFC MODELS;

COMPUTER SIMULATION; DYNAMIC MODELS; GENETIC ALGORITHMS; OPTIMIZATION; SOLID OXIDE FUEL CELLS (SOFC); ALGORITHMS; PARAMETER ESTIMATION;

PARAMETER ESTIMATION; SOLID OXIDE FUEL CELLS (SOFC);

EID: 79955477015     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2011.02.019     Document Type: Article

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