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This paper deals with an Optimal Iterative Learning Control approach for the anode pressure during the periodic purge processes of a fuel cell system. Due to accumulation of diffused nitrogen and water condensate inside the anode volume the chemical reaction is restrained. This adverse effect is avoided through the purge process, by which a short time opening of the exhaust valve forces the nitrogen...
Polymer electrolyte membrane (PEM) fuel cell (FC) systems convert chemical energy from hydrogen into electrical energy via a reaction with oxygen. FCs are highly efficient, nearly noiseless, and locally emission-free. An efficient and safe operation demands several variables in certain ranges. However, the electrical characteristic of a FC systems shows a nonlinear behavior and an exact control of...
This paper deals with an Iterative Learning Control (ILC) approach of the anode pressure during purge processes of a fuel cell (FC) system. The purge processes are necessary because diffused nitrogen and water condensate cumulate in the anode volume and influence the chemical reaction. The temporary opening of the exhaust valve allows the purge process, which removes the water and nitrogen. ILC is...
Polymer electrolyte membrane fuel cells are efficient energy converters that convert chemical energy directly into electrical energy. These units are suitable for dynamic applications and can be used for stationary as well as mobile electrical power generation. The field of application, however, predetermines the type of electrical connection network, electrical storage devices and electrical loads...
Of course, fuel cells are also subjects to signs of wear. Over time of usage this is shown by lower power efficiency, the degradation. Degradation correlates with wear due to mechanical stress, high stack temperature, and too fast load changes. Generally it is influenced by operating the fuel cell with wrong conditions regarding to temperature, anode and cathode pressure. Despite this time variant...
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