20.500.12556/DKUM-92070 Uporaba namenskega čipa za izvajanje elektrospektroskopije pri določanju različnih stanj SoX litij-ionskih baterijskih celic magistrsko delo The use of a dedicated chip for performing electrochemical spectroscopy in determining various SoX states of lithium-ion battery cells Litij-ionske baterije, zaradi svojih ugodnih karakteristik, kot so visoka energijska gostota, dolga življenjska doba in visoka učinkovitost, danes predstavljajo standardno tehnologijo za tovrstne aplikacije – od prenosnih elektronskih naprav do velikih omrežno povezanih shranjevalnikov energije. Osrednji cilj magistrskega dela je raziskava zmogljivosti namenskega integriranega vezja za izvajanje elektrokemijske impedančne spektroskopije (EIS) kot orodja za ocenjevanje notranjih stanj litij-ionskih baterijskih celic, zlasti stanja napolnjenosti (SoC), stanja zdravja (SoH) in stanja moči (SoP). EIS je neinvazivna diagnostična metoda, ki omogoča analizo notranjih elektrokemijskih procesov v bateriji z merjenjem frekvenčno odvisne impedance. V kombinaciji z namenskim čipom, ki izvaja generacijo signalov, zajem podatkov ter analizo, ta pristop omogoča integracijo v realnočasovne sisteme za nadzor baterij (BMS). Magistrsko delo vključuje razvoj in validacijo linearnega in dinamičnega modela litij-ionske baterijske celice v okolju MATLAB/Simulink, ki temelji na Theveninovem pristopu z več RC-členi. V eksperimentalnem delu so bile izvedene meritve z uporabo EIS ter izračun stanja napolnjenosti, pri čemer so rezultati primerjani z vrednostmi, pridobljenimi iz simulacijskega modela. Poseben poudarek je namenjen zanesljivosti meritev, natančnosti identifikacije parametrov nadomestnega vezja in možnostim praktične uporabe EIS čipa v kontekstu naprednega upravljanja baterijskih sistemov. Rezultati raziskave prispevajo k razumevanju možnosti uporabe cenovno dostopnih in integriranih merilnih rešitev za poglobljeno karakterizacijo baterijskih celic ter potrjujejo uporabnost EIS za napredno diagnostiko in napovedovanje stanja baterije v realnih aplikacijah. Lithium-ion batteries, due to their favorable characteristics such as high energy density, long cycle life, and high efficiency, have become the standard technology for a wide range of applications – from portable electronic devices to large-scale, grid-connected energy storage systems. The main objective of this master’s thesis is to investigate the capabilities of a dedicated integrated circuit for performing electrochemical impedance spectroscopy (EIS) as a diagnostic tool for evaluating the internal states of lithium-ion battery cells, in particular the state of charge (SoC), state of health (SoH), and state of power (SoP). EIS is a non-invasive diagnostic technique that enables the analysis of internal electrochemical processes in a battery by measuring the frequency-dependent impedance. In combination with a dedicated chip that generates excitation signals, acquires data, and performs analysis, this approach enables integration into real-time battery management systems (BMS). The thesis includes the development and validation of both a linear and a dynamic model of a lithium-ion battery cell in the MATLAB/Simulink environment, based on the Thévenin equivalent circuit approach using multiple RC elements. The experimental part comprises EIS-based measurements and SoC estimation, with results compared to the values obtained from the simulation model. Particular attention is given to the reliability of measurements, the accuracy of parameter identification for the equivalent circuit model, and the practical applicability of the EIS chip in the context of advanced battery system control. The results of the research contribute to a better understanding of the potential of low-cost and integrated measurement solutions for in-depth battery cell characterization and confirm the usefulness of EIS for advanced diagnostics and real-time state estimation in practical applications. impedančna elektrospektroskopija razširjeni Kalmanov filter stanje zdravja stanje napolnjenosti baterijski upravljalnik electrochemical impadance spectroscopy extended Kalman filter state of health state of charge battery management system true true false [D. Batiuk] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2025-03-13 19:21:29 2025-04-23 13:21:41 2025-04-24 03:12:34 0000-00-00 00:00:00 2025 0 Maribor 0 Velenje XVIII, 87 f. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 544.6:621.352(043.2) 234033155 MAG_Batiuk_Denis_2025.pdf MAG_Batiuk_Denis_2025.pdf 1 7FFD7D5B798E8BB4D639454CBBFF39DE d9b74c24626f4bb715a762592cac7b2901e146838a07256c05f839feeb7d2fd9 11b83c5a-0ff4-11f0-bfc8-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=189947 Fakulteta za energetiko 0 0 0