Efficient Two-Step Parametrization of a Control-Oriented Zero-Dimensional Polymer Electrolyte Membrane Fuel Cell Model Based on Measured Stack Data

This paper proposes a new efficient two-step method for parametrizing control-oriented zero-dimensional physical polymer electrolyte membrane fuel cell (PEMFC) models with measured stack data. Parametrizations of these are computationally intensive due to the numerous unknown parameters and typically nonlinear, stiff model properties. work reduces an existing decrease its stiffness accelerated numerical simulations. Subdividing parametrization into two consecutive subproblems (thermodynamic electrochemical ones) solution space significantly. A parameter sensitivity analysis further each sub-solution by excluding non-significant parameters. The results in process. approach minimizes space’s dimension two-thirds, respectively three-fourths, compared global one. An achieved R2 value between simulation measurement 91% on average provides required accuracy models.