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Influence of state of charge window on the degradation of Tesla lithium-ion battery cells
Department of Electrical Engineering, Chalmers University of Technology, -412 96, Gothenburg, Sweden; Volvo Group Trucks Technology (GTT), SE-405 08, Gothenburg, Sweden.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering, Applied Electrochemistry.ORCID iD: 0000-0003-1321-6639
Department of Electrical Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden; Volvo Car Corporation, SE-405 31, Gothenburg, Sweden.
Ångström Laboratory, Department of Chemistry, Uppsala University, SE-751 21, Uppsala, Sweden.
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2024 (English)In: Journal of Energy Storage, ISSN 2352-152X, E-ISSN 2352-1538, Vol. 76, article id 110001Article in journal (Refereed) Published
Abstract [en]

The Tesla Model 3 is currently one of the most popular electric vehicle (EV) and was the best selling EV in 2020. In this article, performance and degradation of 21700 cylindrical cells, taken from a new vehicle, were studied by cycling within 10% State of charge (SOC) windows. Cells tested in either very high and very low SOC windows show faster degradation than at moderate SOC. In particular, the shortest service life was for cells cycled below 25% SOC. The ageing mechanisms of the cells cycled in these most extreme windows have been monitored by non-destructive electrochemical methods including analyses of differential voltage, incremental capacity, and voltage hysteresis. The combination of loss of lithium inventory (LLI) accelerated in early cycling by SiOx utilization, paired with loss of active material (LAM) of SiOx are responsible for the most rapid ageing, which is observed in the cells cycled in the 5%–15% SOC window. Calendar ageing, however, is not accelerated by storage at low SOC. The results from this study offer an understanding of the distinct, SOC-dependent ageing patterns observed in the cells. This understanding of the ageing mechanisms in different cycling and storage conditions can be used to recommend improved customer usage patterns and substantially extend the lifetime of lithium-ion batteries in operation.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 76, article id 110001
Keywords [en]
Battery aging, Electric vehicles, Li-ion battery, Silicon oxide, State of charge influence, Voltage hysteresis
National Category
Other Chemical Engineering Other Materials Engineering
Identifiers
URN: urn:nbn:se:kth:diva-341930DOI: 10.1016/j.est.2023.110001ISI: 001161240700001Scopus ID: 2-s2.0-85180533375OAI: oai:DiVA.org:kth-341930DiVA, id: diva2:1824834
Note

QC 20240108

Available from: 2024-01-08 Created: 2024-01-08 Last updated: 2025-12-05Bibliographically approved

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Smith, Alexander J.Wreland Lindström, Rakel

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