20.500.12556/RUL-184816 Advancing EIS-based characterization of PEMFCs through model-based DoE and parameter sensitivity analysis Efficient parameterization of fuel cell (FC) models is essential for reducing experimental cost and time. Although several design of experiments (DoE) methodologies exist for time-domain models, frequency-domain DoE using electrochemical impedance spectroscopy (EIS) remains largely unexplored. To address this gap, we advance EIS-based PEMFC characterization by combining a physicochemically consistent frequency-domain model with model-based DoE and parameter sensitivity analysis. This integration enables systematic assessment of the identifiability of calibration parameters, including intrinsic current densities, double-layer capacitances, and proton conductivities, as well as the construction of a reduced experimental operating space based on parameter sensitivities. Using the DoE methodology, 20 optimally selected points achieve up to a 28-fold increase in calibration-parameter information compared to the full experimental dataset, thereby reducing the number of required measurement points while retaining or improving parameter identifiability. Moreover, frequency analysis reveals that the dominant sensitivity of model parameters lies above 1 Hz, enabling further measurement time reduction by up to 100-fold without an increase in parameter variance. The resulting enhancement in parameter identifiability is expected to support internal-state observability and future use of the model, together with the proposed model-based DoE methodology, in virtual-sensor-based intra-cell State-of-X diagnostics. PEM fuel cells electrochemical impedance spectroscopy model-based design of experiments parameter sensitivity analysis SoX diagnostics gorivne celice protonske izmenjevalne membrane elektrokemična impedančna spektroskopija modelsko zasnovano načrtovanje poskusov analiza občutljivosti parametrov SoX diagnostika true false true Angleški jezik Slovenski jezik Članek v reviji 2026-07-15 12:09:18 2026-07-15 12:09:27 2026-07-17 03:53:04 0000-00-00 00:00:00 2026 0 0 12 str. Vol. 690, art. 240788 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.352.6:543.428 0378-7753 10.1016/j.jpowsour.2026.240788 284897795 Voglar...Advancing_EIS-based....pdf Voglar...Advancing_EIS-based....pdf 1 5941F755F548B29CE744D97C439BDC12 58f409f5fe072a4513042f8ea704ff05a531bc7595db1edc7e81c17b863e4a5e 2d0c0328-8036-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=240107 https://www.sciencedirect.com/science/article/pii/S0378775326015387 1 1727a5e2-8035-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=240104 Fakulteta za strojništvo 0 0 0