Effective methodology based on neural network optimizer for extracting model parameters of PEM fuel cells

Faculty Engineering Year: 2019
Type of Publication: ZU Hosted Pages: 8136-8147
Authors:
Attia Abdelaziz Hussien Ali
Journal: International Journal of Energy Research Wiley Volume: 43
Keywords : Effective methodology based , neural network optimizer    
Abstract:
I/V polarization curves of proton‐exchange membrane fuel cells (PEMFCs) are used to characterize the performance of single cells and stacks. Numerous semi‐empirical models are presented to predict such polarization curves by determining the
    
     
 
       

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