Nacionalni portal odprte znanosti

This doctoral thesis focuses on modeling and predicting fuel cell performance and degradation. Firstly, a reduced dimensionality model is developed, improving predictability in low current density regions and allowing for efficient determination of fuel cell intrinsic parameters, which can with deve ...

Polymer electrolyte membrane fuel cells (PEMFCs) are prone to membrane dehydration and liquid water flooding, negatively impacting their performance and lifetime. Therefore, PEMFCs require appropriate water management, which makes accurate water modeling indispensable. Unfortunately, available contr ...

Determination of the optimal design of experiments that enables efficient parametrisation of fuel cell (FC) model with a minimum parametrisation data-set is one of the key prerequisites for minimizing costs and effort of the parametrisation procedure. To efficiently tackle this challenge, the paper ...

The reduction and prevention of degradation effects of proton exchange membrane fuel cells calls for precise on-line monitoring and control tools such as coupled virtual observers. To present significant progress in the area of computationally fast electrochemical models used in observer application ...