This article tackles some ideas about parameters identification in the anode line of a typical PEM fuel cell test station. The approach is focused in the nonlinear model structure and solves an observation problem using a system transformation and Kalman filtering. Simulation results are presented to show the feasibility of the proposal.


automation, observability.

Author keywords

PEM fuel cells, membrane water transport, online parameter identification, Kalman filtering

Scientific reference

C. Kunusch. Online identification of time varying parameters in PEM fuel cells, 5th International Conference on Fundamentals & Development of Fuel Cells, 2013, Karlsruhe, Germany.