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- W1875240552 abstract "Fuel cells are electrochemical devices that convert the chemical energy of a reaction directly into dc electrical energy. Proton Exchange Membrane (PEM) fuel cell is a suitable alternative for both electrical transportation and stationary applications. In this article, an Artificial Neural Network (ANN) modelling approach of a PEM fuel cell is developed. This model describes the behaviour of PEM fuel cell voltage under both steady-state and transient conditions. Moreover, the prediction of the operating temperature of a PEM fuel cell based only on its measured voltage and current is proposed and tested. Indeed, experimental data from a 1.2 kW Nexa Ballard PEM fuel cell is used to validate the proposed method." @default.
- W1875240552 created "2016-06-24" @default.
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- W1875240552 date "2014-09-23" @default.
- W1875240552 modified "2023-09-26" @default.
- W1875240552 title "PEM Fuel Cell Modelling Using Artificial Neural Networks" @default.
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