First findings arrived! 💪
Andraž Kravos, Tit Voglar, Ambroz Kregar, and Tomaž Katrašnik from the University of Ljubljana, released their first paper! 👀
Electrochemical Impedance Spectroscopy (EIS) is crucial for analyzing fuel cells but lacks precise, physico-chemically consistent models that inlcude parameters with clear physical meaning and are computationally efficient.
“Hybrid Methodology for Parametrisation of Proton Exchange Membrane Fuel Cell Model for Diagnostics and Control Applications” introduces a new, efficient modeling framework that improves accuracy by addressing fuel cell operation in both time and frequency domains. ⏱️
It uniquely integrates all fuel cell components into a one-dimensional analytical model, significantly enhancing prediction accuracy and computational efficiency. 🎯
This advanced model has been validated by high-accuracy experimental data, paving the way for better diagnostic tools in fuel cell technology. 💚
You can access the publication in its entirety at the following link: Andraž Kravos et al 2023 J. Electrochem. Soc. 170 114522