Ensuring proper operating conditions of a fuel cell assembly is a demanding control and engineering challenge, as it combines operating conditions from different domains. Therefore, in order to simultaneously optimize efficiency, ensure sustainability, manage the content and dynamics of water, and prevent overheating, the use of model-supported control is essential. In this thesis, a numerical model framework of the fuel cell fund support system with a proton exchange membrane is presented and implemented for use in control applications and applications of model-driven development in both the transport and energy sectors. The modeled support system is developed in Python software environment and includes a compressor, supply manifold, cooler and humidifier, fuel cell cathode and return manifold. Based on external edge conditions, the model is analyzed, verified and optimized. However, the calculation speed of the model frame allows for real-time calculations, whereby the model is stable even when using dynamic external edge conditions.
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