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Fizikalno-kemijsko konsistento nadomestno vezje za modeliranje Li-ionskih baterij
ID Cimermančič, Matevž (Author), ID Katrašnik, Tomaž (Mentor) More about this mentor... This link opens in a new window

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Abstract
V magistrskem delu smo raziskali delovanje litij-ionskih baterij s ciljem analize napovedovalnosti in sposobnosti enolične parametrizacije inovativnega fizikalno-kemijsko konsistentnega nadomestnega vezja, ki smo ga implementirali v programskem okolju Python. Na podlagi simulacijskih rezultatov smo izvedli analizo napačnosti napovedovanja napetostnega odziva baterijske celice implementiranega numeričnega modela napram laboratorijskim meritvam zastavljenih protokolov polnjenja in praznjenja. Nato smo model numerično validirali z ozirom na enolično določljivost modelskih parametrov. Rezultati kažejo, da ima model odlične sposobnosti prileganja simulacijskih in merjenih vrednosti napetosti, ravno tako pa ima tudi dobre ekstrapolacijske lastnosti. Ena ključnih prednosti analiziranega modela pred obstoječimi modeli je sledenje potencialu vsaki izmed elektrod posebej.

Language:Slovenian
Keywords:elektromobilnost, litij-ionske baterije, modeliranje, nadomestno vezje, napovedovanje stanja napolnjenosti, simulacije.
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[M. Cimermančič]
Year:2023
Number of pages:XX, 78 str.
PID:20.500.12556/RUL-148752 This link opens in a new window
UDC:621.352:621.3.049:004.925.8(043.2)
COBISS.SI-ID:167923459 This link opens in a new window
Publication date in RUL:31.08.2023
Views:992
Downloads:140
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Secondary language

Language:English
Title:A physico-chemical consistent equivalent circuit for modeling Li-ion batteries
Abstract:
In master thesis we investigated the performance of lithium-ion batteries with the aim of analysing the predictability and the ability to uniquely parameterise an innovative physico-chemical equivalent circuit, which we implemented in the Python. Based on the simulation results, we performed an analysis of the accuracy of the battery cell voltage response prediction of the implemented numerical model against laboratory measurements of the set charging and discharging protocols. The model was then numerically validated with respect to the uniqueness of the model parameters. The results show that the model has excellent fitting abilities to the simulated and measured voltage values, as well as good extrapolation properties. One of the key advantages of the model analysed here over existing models is that the potential of each electrode is tracked separately.

Keywords:electromobility, lithium-ion bateries, modeling, equivalent circuit, state-of-charge prediction, simulations.

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