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An advanced 1D physics-based model for PEM hydrogen fuel cells with enhanced overvoltage prediction
This quantity replaces the limit current density coefficient ($i_{lim}$) and establishes a connection between the voltage drop at high current densities, the amount of liquid water present in the catalyst layers of the cell, and the operating conditions.
Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks
To face the dependency on fossil fuels and limit carbon emissions, fuel cells are a very promising technology and appear to be a key candidate to tackle the increase of the energy demand and promote the energy transition.
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time
This paper describes a pattern recognition approach aiming to estimate fuel cell duration time from electrochemical impedance spectroscopy measurements.
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