Parameter optimization for a PEMFC model with a hybrid genetic algorithm
- Author
- MO, Zhi-Jun1 2 ; ZHU, Xin-Jian1 ; WEI, Ling-Yun3 ; CAO, Guang-Yi1
[1] Fuel Cell Institute, Shanghai Jiaotong University, Shanghai 200030, China
[2] School of Electrical Engineering, Guangxi University, Nanning 530004, China
[3] State Key Lab of Vibration, Shock and Noise, Shanghai Jiaotong University, Shanghai 200030, China - Source
International journal of energy research. 2006, Vol 30, Num 8, pp 585-597, 13 p ; ref : 15 ref
- CODEN
- IJERDN
- ISSN
- 0363-907X
- Scientific domain
- Biotechnology; Energy; Chemical engineering
- Publisher
- Wiley, Chichester
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- PEM fuel cell modelling hybrid genetic algorithms parameter optimization
- Keyword (fr)
- Algorithme génétique Electrolyte polymère Fiabilité Modèle Modélisation Optimisation Performance Pile combustible Régime permanent
- Keyword (en)
- Genetic algorithm Polymer electrolytes Reliability Models Modeling Optimization Performance Fuel cell Steady state
- Keyword (es)
- Algoritmo genético Fiabilidad Modelo Modelización Optimización Rendimiento Pila combustión Régimen permanente
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06D Energy. Thermal use of fuels / 001D06D03 Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc / 001D06D03E Fuel cells
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 17848940
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/er.1170 
https://dx.doi.org/10.1002/er.1170
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