Online optimal management of PEMFuel cells using neural networks

@article{Azmy2005OnlineOM,
  title={Online optimal management of PEMFuel cells using neural networks},
  author={A. M. Azmy and Istv{\'a}n Erlich},
  journal={IEEE Transactions on Power Delivery},
  year={2005},
  volume={20},
  pages={1051-1058}
}
A novel two-phase approach to manage the daily operation of proton exchange membrane (PEM) fuel cells for residential applications is presented in this paper. Conventionally, the performance optimization is carried out offline since it is a time-consuming process and needs high computational capabilities. To simplify the management process and to enable online parameter updating, the paper suggests a new technique using artificial neural networks (ANNs). First, a database is extracted by… CONTINUE READING
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