Research report 2019 - Max Planck Institute for Dynamics of Complex Technical Systems
Reliable diagnosis for fuel cells
Vidaković-Koch, Tanja; Sorrentino, Antonio
Max-Planck-Institut für Dynamik komplexer technischer Systeme, Magdeburg
SummaryIn the age of electromobility, electrochemical energy converters such as fuel cells will play an increasingly important role in everyday life. On this point, diagnostic tools that can precisely determine the various fail states (flooding, drying out, catalyst degradation, poisoning, etc.) of these devices are becoming increasingly important. We report on a new experimental method for fuel cell diagnostics, based on frequency response analysis of concentration input and electrical output (current or cell potential), which can selectively distinguish between the different fail states.