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Razvoj, implementacija in parametrizacija modela Li-ionske baterije s histerezno napetostjo odprtega kroga
ID Džaić, Igor (Author), ID Zelič, Klemen (Mentor) More about this mentor... This link opens in a new window

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Abstract
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 na Theveninovem vezju. Model, implementiran v Pythonu, je bil optimiziran z diferencialno evolucijo, rezultati pa kažejo do 41,51 % izboljšanje natančnosti pri Samsung bateriji in 19,32 % pri LG bateriji.

Language:Slovenian
Keywords:litij-ionske baterije, OCV, histereza, modeliranje, parametrizacije, python, diferencialna evolucija
Work type:Final paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Year:2024
Number of pages:XI, 36 f.
PID:20.500.12556/RUL-166161 This link opens in a new window
UDC:621.352:539.98(043.2)
COBISS.SI-ID:221294595 This link opens in a new window
Publication date in RUL:22.12.2024
Views:658
Downloads:120
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Secondary language

Language:English
Title:Development, implementation and parametrization of Li-ion battery model with hysteresis open circuit voltage
Abstract:
Lithium-ion batteries are essential for modern devices, with their operation managed by a BMS system based on mathematical models. These often do not include open-circuit voltage hysteresis, reducing simulation accuracy. The aim of the thesis is to develop and parameterize a model with integrated OCV hysteresis, based on a Thevenin circuit. The model, implemented in Python, was optimized using differential evolution, with results showing up to 41.51% accuracy improvement for Samsung batteries and 19.32% for LG batteries.

Keywords:lithium-ion batteries, OCV, hysteresis, modeling, parametrizations, python, differential evolution

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