Parameter characterization of HT-PEMFC stack with a non-isothermal 3D model

This paper proposes a methodology for characterizing electrochemical parameters in non-isothermal three-dimensional (3D) simulation models of fuel cell stacks. The proposed methodology involves utilizing only easily measurable construction and non-invasive operational data. In order to achieve a reasonable computational cost, an iterative method developed on various 3D computational domains is combined with a genetic algorithm optimization technique. The effectiveness of the methodology is demonstrated through its application on a real scale 40-cell high temperature PEM fuel cell (HTPEMFC) stack, with the results indicating good agreement between the model and experimental data. This approach has the potential to significantly reduce the computational cost of optimizing fuel cell designs while still maintaining accuracy.

Automated summary

This paper proposes a methodology for characterizing electrochemical parameters in non-isothermal three-dimensional (3D) simulation models of fuel cell stacks. The methodology utilizes easily measurable data and combines iterative methods and genetic algorithm optimization techniques to achieve reasonable computational cost. The effectiveness of the methodology is demonstrated through its application on a real scale fuel cell stack, with good agreement between the model and experimental data.