20.500.12556/RUL-138441 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 of experiments that enables efficient parametrisation of fuel cell (FC) model with a minimum parametrisation data-set is one of the key prerequisites for minimizing costs and effort of the parametrisation procedure. To efficiently tackle this challenge, the paper present an innovative methodology based on the electrochemical FC model, parameter sensitivity analysis and application of D-optimal design plan. Relying on this consistent methodological basis the paper answers fundamental questions: a) on a minimum required data-set to optimally parametrise the FC model and b) on the impact of reduced space of operational points on identifiability of individual calibration parameters. Results reveal that application of D-optimal DoE enables enhancement of calibration parameters information resulting in up to order of magnitude lower relative standard errors on smaller data-sets. In addition, it was shown that increased information and thus identifiability, inherently leads to improved robustness of the FC electrochemical model. PEM fuel cells electrochemical PEM FC performance model model-based design of experiments reduced dimensionality models parameter sensitivity virtual observers PEM gorivne celice elektrokemični model PEM gorivne celice modelsko osnovan dizajn eksperimentov modeli z zmanjšano dimenzionalnostjo občutljivostna analiza parametrov virtualna tipala true false true Angleški jezik Slovenski jezik Članek v reviji 2022-07-20 15:34:48 2022-07-20 15:34:52 2022-09-15 04:16:46 0000-00-00 00:00:00 2021 0 0 Str. 13832-13844 iss. 26 Vol. 46 Apr. 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.352.6:004.9(045) 0360-3199 10.1016/j.ijhydene.2020.10.146 36716803 1-s2.0-S036031992033994X-main_(1).pdf 1-s2.0-S036031992033994X-main_(1).pdf 1 CF33532B29F28D72D89B738579AA194A 7a17e86d274d9a5b4ec648a4b1cea36f28e2ee154c616edba9476279f4a5dc92 72ef4fc8-0831-11ed-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=158773 https://www.sciencedirect.com/science/article/pii/S036031992033994X 1 7d6c4c20-0830-11ed-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=158772 Fakulteta za strojništvo 0 0 0