LAPSE:2023.35826
Published Article
LAPSE:2023.35826
Long-Term Self-Discharge Measurements and Modelling for Various Cell Types and Cell Potentials
Mohamed Azzam, Moritz Ehrensberger, Reinhard Scheuer, Christian Endisch, Meinert Lewerenz
May 24, 2023
Self-discharge of lithium-ion cells leads to voltage decay over time. In this work, the self-discharge was measured at 30 ∘C for three cell types at various voltage levels for about 150 days in a constant voltage mode determining the current at a high precision (float current). All cells exhibit a transient part leading to a steady-state, which is no longer influenced by reversible effects. To study the effect of the check-ups on the steady-state float current, the cells, interrupted and not interrupted by check-ups, were compared. The results indicate that both the transient processes and steady-state currents are highly reproducible. In the first period of the float current, the polarization dominates the measured current, followed by the anode overhang effect dominating the process for a period of 5−30 days. After the decline of both processes, a mostly constant steady-state in the order of μA is observed. The check-up interruption generally shows no apparent effect on the reached steady-state and results only in an extended settling time. A model to simulate the transient process and steady-state of float currents was developed. The model shows a high accuracy in reproducing the results and identifying the time needed to reach the steady-state.
Keywords
18650, anode overhang, filtering, float current analysis, graphite, LFP, Modelling, NCA, NMC, potentiostatic hold, self-discharge rate
Suggested Citation
Azzam M, Ehrensberger M, Scheuer R, Endisch C, Lewerenz M. Long-Term Self-Discharge Measurements and Modelling for Various Cell Types and Cell Potentials. (2023). LAPSE:2023.35826
Author Affiliations
Azzam M: Research Group Electromobility and Learning Systems, Technische Hochschule Ingolstadt, D-85049 Ingolstadt, Germany [ORCID]
Ehrensberger M: Research Group Electromobility and Learning Systems, Technische Hochschule Ingolstadt, D-85049 Ingolstadt, Germany
Scheuer R: Research Group Electromobility and Learning Systems, Technische Hochschule Ingolstadt, D-85049 Ingolstadt, Germany
Endisch C: Research Group Electromobility and Learning Systems, Technische Hochschule Ingolstadt, D-85049 Ingolstadt, Germany
Lewerenz M: Research Group Electromobility and Learning Systems, Technische Hochschule Ingolstadt, D-85049 Ingolstadt, Germany
Journal Name
Energies
Volume
16
Issue
9
First Page
3889
Year
2023
Publication Date
2023-05-04
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16093889, Publication Type: Journal Article
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LAPSE:2023.35826
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doi:10.3390/en16093889
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May 24, 2023
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CC BY 4.0
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May 24, 2023
 
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Calvin Tsay
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