20.500.12556/RUL-125942 Advanced porous electrode modelling framework based on more consistent virtual representation of the electrode topology The paper proposes an advanced continuum level modelling framework characterized by a more consistent virtual representation of electrode topology to enhance prediction capability and generality of porous electrode theory based models. The proposed modelling framework, therefore, establishes the missing link between the mesoscopic scale with a detailed 3D representation of electrode topology and the continuum single cell scale, where interrelation to the real electrode topology was missing. This link is established by elaborating a unified approach for modelling materials with significantly different topologies of active material by virtually creating agglomerates, representing secondary particles, from primary particles. Proposed approach relies on multi-particle size distribution of primary particles and particle-to-particle connectivity. Generality of the proposed modelling framework is demonstrated by simulating LFP and NMC materials featuring significantly different electrode topologies by the same modelling framework while adapting only virtual representation of electrode topologies and intrinsic material properties. Credibility of the proposed modelling framework is confirmed through good agreement with experimental results for various discharge tests. Insightful simulation results also reveal background of the topologically driven low Li utilization at high current densities of the LFP material and topologically driven voltage response difference during the memory effect of different LFP materials. batteries Li-Ion porous electrode models electrodes topology NCM LFP memory effect baterije Li-ion porozne elektrode topologija elektrod NCM LFP spominski pojavi true false true Angleški jezik Slovenski jezik Članek v reviji 2021-04-09 15:18:23 2021-04-09 15:18:26 2022-09-05 03:53:24 0000-00-00 00:00:00 2020 0 0 18 str. no. 6, art. 060531 Vol. 167 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.352(045) 1945-7111 10.1149/1945-7111/ab84fb 17157915 RAZ_Mele_Igor_2020.pdf RAZ_Mele_Igor_2020.pdf 1 FFD11AA0B8D714D2EF83A716EFD1CD7F 2fca975c1df77894438652981e97e65d623fc46bdabe92e5038fe48d428d43be d34375b4-a1bb-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=141812 https://iopscience.iop.org/article/10.1149/1945-7111/ab84fb 0 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=141811 Fakulteta za strojništvo 0 0 0