20.500.12556/RUL-138725 Multi-domain and multi-scale model of a fuel cell electric vehicle to predict the effect of the operating conditions and component sizing on fuel cell degradation One of the key challenges in the design of fuel cell vehicles arises from the need for the simultaneous optimisation of their efficiency and lifetime, which is, in particular, challenging when operating under transient operating conditions; further, the minimisation of costs and the use of critical materials should be considered. To enable a more detailed virtual exploration of the design space, this paper presents a high-fidelity multi-domain and multi-scale model of a fuel cell electric vehicle that is capable of modelling the coupled phenomena from the vehicle level to intra-fuel cell level with a mechanistically based fuel cell model. The high-fidelity multi-domain and multi-scale model of a fuel cell electric vehicle is based on consistent coupling of different domains, that is, mechanical, electrical, electrochemical, gas flow, thermal, and control, which are modelled with mechanistic governing equations coupled to empirical degradation models of electrochemical devices and solved with multirate solvers ensuring flux conservations and synchronization of time steps. Establishing a consistent model based causal interactions between different domains and the significantly different scales associated with the phenomena in these domains, which more consistently virtually replicates the phenomena in a real fuel cell electric vehicle, is crucial for evaluating the impact of the parameters from high scales on intra-fuel cell spatio-temporal characteristics impacting fuel cell degradation. The results demonstrate that the application of an experimentally validated multi-domain and multi-scale model of a fuel cell electric vehicle enables the virtual exploration of interactions considering the scale of vehicle characteristics and its driving pattern to the scale of intra-fuel cell spatio-temporal characteristics and its degradation early in the development stages of the fuel cell electric vehicle. Therefore, the proposed approach represents a valuable contribution to the virtualisation of the system-level design of powertrains of fuel cell electric vehicles and supports front loading in the development process. fuel cell electric vehicles multi-domain multi-scale system-level modelling lifetime energy efficiency multi-objective genetic algorithm optimisation gorivne celice električna vozila življenjska doba energetska učinkovitost optimizacija modeliranje true false true Angleški jezik Slovenski jezik Članek v reviji 2022-08-10 13:51:32 2022-08-10 13:51:39 2022-09-15 04:17:06 0000-00-00 00:00:00 2022 0 0 27 str. Vol. 268, art. 116024 Sep. 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.43+621.352.6:662 0196-8904 10.1016/j.enconman.2022.116024 117952259 Rasic,_Katrasnik-Multi-domain_and_multi-scale_model_of_a_fuel_cell_electric_vehicle_to_predict_the_effect_of_the_operating_conditions_and_component_sizing_on_fuel_cell_degradation.pdf Rasic,_Katrasnik-Multi-domain_and_multi-scale_model_of_a_fuel_cell_electric_vehicle_to_predict_the_effect_of_the_operating_conditions_and_component_sizing_on_fuel_cell_degradation.pdf 1 B8F29284F90C528C41B2551801809D0F 661b7249b40ec99d3d6325af4f4caf2b77f0b685bafd3651e1649d92862f9c78 dc2d280e-18a2-11ed-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=159144 https://www.sciencedirect.com/science/article/pii/S0196890422008160 1 8129bc11-18a2-11ed-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=159143 Fakulteta za strojništvo 0 0 0