02-10-2025 - Lecture Hall E

PhD presentation

Dynamic Modeling, Parameter Identification, and Control of PEM Fuel Cells for Maritime Applications

Ege Ceyhun

The decarbonization of the maritime industry requires efficient and reliable power and energy systems that can operate under demanding conditions.
Proton Exchange Membrane (PEM) fuel cells are a promising zero-emission solution for ships, offering high efficiency and flexibility, but their integration into maritime applications depends on accurate system modeling and carefully designed control strategies.
In this work, a control-oriented dynamic PEM fuel cell model is developed to represent the essential electrochemical, thermal, and flow processes with the minimum number of states. The parameters of the model are identified using the collected data from the experiments, which provides a connection between theoretical formulations and practical system behavior. The identified model is used for the design and comparison of different control strategies, addressing key objectives such as state tracking.
Future work will extend this framework by comparing additional control approaches relevant to maritime operations, enhancing the model to capture further dynamic phenomena and integrating it with a battery model to design different energy management strategies.