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Electrochemical impedance spectroscopy of lithium-ion batteries : a data-driven modelling approach using distribution of relaxation times

Aguilar Boj, E. (2023) Electrochemical impedance spectroscopy of lithium-ion batteries : a data-driven modelling approach using distribution of relaxation times.

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Embargo date:30 April 2026
Abstract:Lithium-ion batteries have a significant role in storing and using energy, an increasing market led by the electrification of transportation. Developing reliable and accurate models for lithium-ion batteries is crucial for optimizing their performance and assure they are working in optimal conditions and minimizing the ageing and degradation they experience in the cycling process. In this project, several lithium-ion batteries aged under different conditions, C-rate, Temperature and ΔDoD, were measured using Electrochemical Impedance Spectroscopy (EIS). The acquired data was processed using the proposed algorithm based on the Distribution of Relaxation Times (DRT) analysis. The inclusion of DRT analysis in the processing algorithm produced more consistent fitting results for the Equivalent Circuit Model (ECM) with less variability between measurements. A preliminary study was also conducted to investigate the correlations between the changes in the ECM and the cycling conditions of the cell. The results of this project demonstrate the potential of DRT analysis as a dataset processing method to improve the accuracy and reliability of lithium-ion battery models.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Embedded Systems MSc (60331)
Link to this item:https://purl.utwente.nl/essays/94759
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