Određivanje i praćenje indikatora zdravlja baterijskog članka

master's thesis

• Title (english): Determining and monitoring of battery cell health indicators
• Author: Patrik Preradović
• Mentor: Mario Vašak (mentor)
• Committee member: Mario Vašak (član povjerenstva)
• Committee member: Vinko Lešić (član povjerenstva)
• Committee member: Branimir Novoselnik (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2025-02-21, Croatia

Abstract

Litij-ionski baterijski članak opisan je R2C modelom ekvivalentnog strujnog kruga (ECM). Objašnjen je princip optimizacije nelinearnog modela članka uz postavljena ograničenja. Korištena je Fmincon funkcija i metoda sekvencijalnog kvadratnog programiranja (SQP) kako bi se riješio zadani nelinearni problem. Parametri modela prvo su identificirani offline metodom. Nakon toga je pojednostavljen vektor parametara kako bi se dobili konkretni indikatori zdravlja članka. Odzivi modela s novim parametrima validirani su naspram odziva iz detaljno naučenog modela. Zatim je provedena online identifikacija modela s reduciranim vektorom parametara. Potom slijedi prikaz i objašnjenje rezultata, a na kraju je napisan zaključak rada.

Abstract (english)

The lithium-ion battery cell is described by the R2C model of the equivalent circuit (ECM), explaining the principle of optimizing the nonlinear model with set constraints. The Fmincon function and the sequential quadratic programming (SQP) method were used to solve the given nonlinear problem. First, the model parameters were identified offline. After that, the parameter vector was simplified to obtain specific health indicators of the cell. The model responses with the new parameters were validated against the responses from the detailed learned model. Then, online identification of the model with the reduced parameter vector was performed. Followed by the presentation and explanation of the results, and finally, a conclusion of the thesis.

• Keywords: litij-ionski članak; ECM; Fmincon funkcija; SQP algoritam; parametri; indikatori zdravlja; metode identifikacije
• Keywords (english): lithium-ion cell; ECM; Fmincon function; SQP algorithm; parameters; health indicators; identification methods
• Language: croatian
• URN:NBN: urn:nbn:hr:168:983886
• Study programme: Title: Information and Communication Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2025-03-12 11:16:46