Hosamane, Suhas Essen
(2024)
Development of Battery Test Simulator and Battery Characterization.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Electric vehicle engineering [LM-DM270], Documento ad accesso riservato.
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Abstract
Lithium-ion Batteries (LiBs) are at the lead of energy storage technology, having remarkable characteristics that have propelled them into a very wide use in different industries. The main principle of their operation is the complex interaction of lithium ions between the electrodes during the charging and discharging cycles. A constant advancement in the field of battery technology is vital in addressing the growing demand for energy storage solutions in various applications.
Accurately estimating the battery parameters is vital for optimizing its performance, enhancing the management strategies, and extending the battery lifespan. This thesis explores the integration of MATLAB Simulink framework and Simulink based Battery tester simulation tool for advanced battery parameter estimation, virtual and real testing, and Analysis.
Development of Simulink based battery tester tool is the the central focus of this thesis. The testing tool incorporates various features and options like choice of configuration, choice of cell, type of test to be conducted and automated testing procedures. The simulation-driven approach enhances the accuracy and reliability of parameter estimation while reducing reliance on costly and time-consuming physical experiments.
Furthermore, MATLAB based Battery parameter estimation tool incorporates various components, including data importation, resampling, visualization, parameter calculation, state of charge (SoC) estimation, cyclic data analysis, and global parameter fitting. Each component is meticulously examined to elucidate its functionality and contribution to the overall parameter estimation process.
Abstract
Lithium-ion Batteries (LiBs) are at the lead of energy storage technology, having remarkable characteristics that have propelled them into a very wide use in different industries. The main principle of their operation is the complex interaction of lithium ions between the electrodes during the charging and discharging cycles. A constant advancement in the field of battery technology is vital in addressing the growing demand for energy storage solutions in various applications.
Accurately estimating the battery parameters is vital for optimizing its performance, enhancing the management strategies, and extending the battery lifespan. This thesis explores the integration of MATLAB Simulink framework and Simulink based Battery tester simulation tool for advanced battery parameter estimation, virtual and real testing, and Analysis.
Development of Simulink based battery tester tool is the the central focus of this thesis. The testing tool incorporates various features and options like choice of configuration, choice of cell, type of test to be conducted and automated testing procedures. The simulation-driven approach enhances the accuracy and reliability of parameter estimation while reducing reliance on costly and time-consuming physical experiments.
Furthermore, MATLAB based Battery parameter estimation tool incorporates various components, including data importation, resampling, visualization, parameter calculation, state of charge (SoC) estimation, cyclic data analysis, and global parameter fitting. Each component is meticulously examined to elucidate its functionality and contribution to the overall parameter estimation process.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Hosamane, Suhas Essen
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Battery Pack,Li-ion cells,Battery Testing,LFP,Simulink Simulation
Data di discussione della Tesi
18 Marzo 2024
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Hosamane, Suhas Essen
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Battery Pack,Li-ion cells,Battery Testing,LFP,Simulink Simulation
Data di discussione della Tesi
18 Marzo 2024
URI
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