Modeling of a PEM fuel-cell stack for dynamic and steady-state operation using ANN-based submodels

Modeling of a PEM fuel-cell stack for dynamic and steady-state operation using ANN-based submodels

10.1109/TIE.2009.2026768

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Bibliographic Details
Main Authors: Kong, X., Khambadkone, A.M.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Article
Published: 2014
Subjects:
Artificial neural network (ANN)
Fuel-cell model
Proton exchange membrane (PEM)
Real time.
Online Access:http://scholarbank.nus.edu.sg/handle/10635/56670
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Institution: National University of Singapore
Description
Summary:10.1109/TIE.2009.2026768

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