Methodology for efficient parametrisation of electrochemical PEMFC model for virtual observers: Model based optimal design of experiments supported by parameter sensitivity analysis

Determination of the optimal design experiments that enables efficient parametrisation fuel cell (FC) model with a minimum data-set is one key prerequisites for minimizing costs and effort procedure. To efficiently tackle this challenge, paper present an innovative methodology based on electrochemical FC model, parameter sensitivity analysis application D-optimal plan. Relying consistent methodological basis answers fundamental questions: a) required to optimally parametrise b) impact reduced space operational points identifiability individual calibration parameters. Results reveal DoE enhancement parameters information resulting in up order magnitude lower relative standard errors smaller data-sets. In addition, it was shown increased thus identifiability, inherently leads improved robustness model.