Št. zadetkov: 11
Pregledni znanstveni članek
Oznake:
patronažna služba;informacijski sistemi;
V članku sta predstavljena računalniško podprt informacijski sistem patronažne zdravstvene nege in njegova vloga. Razvoj tega poteka v okviru projekta Evropske unije IN-CO-COPERNICUS in je v fazi testiranja v praksi v dveh zdravstvenih domovih v Sloveniji. Prikazan je podatkovni model in delo s prog ...
Leto:
1999
Vir:
Repozitorij Univerze v Ljubljani (RUL)
Diplomsko delo
Oznake:
diplomske naloge;litij-ionske baterije;OCV;histereza;modeliranje;parametrizacije;python;diferencialna evolucija;
Litij-ionske baterije so ključne za sodobne naprave, njihovo delovanje pa upravlja sistem BMS, ki temelji na matematičnih modelih. Ti pogosto ne vključujejo napetostne histereze, kar zmanjša natančnost simulacij. Namen naloge je razvoj in parametrizacija modela z vključeno histerezo OCV, temelječega ...
Leto:
2024
Vir:
Fakulteta za strojništvo (UL FS)
Diplomsko delo
Oznake:
mladinska književnost;slikanice;tabujske teme;drugačnost v literaturi;predšolski otroci;
Leto:
2025
Vir:
Pedagoška fakulteta (UP PEF)
Izvirni znanstveni članek
Oznake:
Li-ion battery;phase separating material;continuum model;multi-scale modelling;heat generation;thermal runaway;
Multi-scale and multi-domain mathematical models capable of modelling main electrochemical reactions, side reactions and heat generation can reduce the time and cost of lithium-ion battery development and deployment, since these processes decisively influence performance, durability and safety of ba ...
Leto:
2021
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
litij ionske baterije;elektrodni materiali;aktivni delci;kvazi 3D model;model porozne elektrode;li-ion batteries;electrode materials;aktive particle;quazi 3D model;porous electrode model;
We unreveal mechanistic background of the presence of chemical inductive effects in phase separating ion intercalation energy storage materials, in particular lithium iron phosphate (LFP) and lithium titanate oxide (LTO), by applying a detailed phase field model. These materials feature fast (de)int ...
Leto:
2023
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
batteries;Li-Ion;porous electrode models;electrodes topology;NCM;LFP;memory effect;
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 mis ...
Leto:
2020
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
Li-ion battery;phase separating material;multi-particle porous electrode;memory effect;
Phase separating Li-ion battery cell cathode materials feature a well-known phenomenon called the memory effect. It manifests itself as an abnormal change in working voltage being dependent on cell cycling history. It was only recently that plausible mechanistic reasoning of the memory effect in Li- ...
Leto:
2019
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
Li-ion battery modelling;electrochemical model;electrochemical impedance spectroscopy;NMC;deciphering EIS spectra;
Electrochemical impedance spectroscopy (EIS) is essential for non-invasive battery characterization. This paper addresses the challenge of adequate interpretation of EIS spectra, which are often complicated by overlapping internal phenomena occurring on similar time scales. We present, for the first ...
Leto:
2024
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
Li-ion batteries;solid electrolyte interphase;molecular dynamics;kinetic Monte Carlo;continuum model;scale-bridging;
Despite extensive research, understanding the SEI’s formation mechanism, structure, and its impact on battery performance remains challenging due to its complexity. To enable model-based design studies and to enhance understanding and prediction of the macroscopically observable consequences of SEI ...
Leto:
2025
Vir:
Fakulteta za strojništvo (UL FS)
Kratki znanstveni prispevek
Oznake:
machine learning;neural network;phase field model;dataset;
Phase field models are an important mesoscale method that serves as a bridge between the atomic scale and the macroscale, used for modeling complex phenomena at the microstructure level. Machine learning can be employed to accelerate these simulations, enabling faster and more efficient analyses. Ho ...
Leto:
2024
Vir:
Fakulteta za strojništvo (UL FS)