Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 1
Parametrized physics-informed deep operator networks for design of experiments applied to lithium-ion-battery cells
Philipp Brendel, Igor Mele, Andreas Rosskopf, Tomaž Katrašnik, Vincent Lorentz
Izvirni znanstveni članek
Oznake: Li-ion batteries;modelling;design of experiment DoE;machine learning;physics informed neural networks;
Model-based state estimation of lithium-ion batteries relies on a robust, yet efficient parametrization of the underlying model under different conditions, which can be analyzed and improved through the lenses of Design-of-Experiments (DoE) methodologies. This paper presents parametrized physics-inf ...
Leto: 2025 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 1
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: