ABSCHLUSSARBEIT: MODELLPRÄDIKTIVE REGELUNG EINES BRENNSTOFFZELLEN-ANTRIEBSSYSTEMFÜR DIE LUFTFAHRT (m/w/d)

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Maximizing the performance is paramount in applying fuel cell systems as an aviation propulsion system. Power density and energy efficiency directly affect the achievable range. At the same time, degradation needs to be prevented during operation. Model predictive control (MPC) enables predictive, optimal control while explicitly considering state and control constraints. Optimal cooling of the fuel cell stack is critical to the efficiency and performance of the entire propulsion system. Optimal multi-input, multi-output control of the high-temperature cooling circuit is an entry point for implementing and testing an MPC for fuel cell systems controls. The posted thesis builds on two completed theses. The existing prototype implementation of an MPC for cooling control shall be ported to embedded hardware. The objective is to perform the proof of concept using a Hardware-in-the-Loop (HiL) simulation. The MPC implementation shall be adapted to real-world challenges.

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