Lithium-metal battery degradation dataset from continuous cycling experiments

Lithium-metal batteries are promising next-generation batteries but but their limited lifetime and safety concerns remain key challenges for real-world deployment. The dataset presented in this paper contains current and voltage data, from which the capacity is calculated from 23 different lithium-metal battery cells, encompassing four different design configurations and nominal capacities. The cells were manufactured at Sakuu Corp., and the data were collected in its R&D laboratory. The cells underwent continuous cycling with a constant-current (CC) discharge and a constant-current constant-voltage (CC-CV) charge at different C-rates and voltage cutoffs at room temperature. Each cell experiences capacity loss from repeated cycling due to degradation mechanisms that lead to the formation of dead or inactive lithium, electrolyte depletion and increase in impedance during cycling. The voltage, current, and capacity data for each cycle are presented in the dataset. This dataset can be used for developing models and strategies to predict cell lifespan, accelerating design to improve performance and durability.

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Publication Details

Journal
Data in Brief
Published
2025-06-20
DOI
https://doi.org/10.1016/j.dib.2025.111787
Citations
1
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
0.73
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article

Lithium-metal battery degradation dataset from continuous cycling experiments

Nojan Aliahmad, Maitri Uppaluri, Alireza Saatchi, Simona Onori et al.
1 citations
Data in Brief
Advanced Battery Materials and Technologies
0.73
article

Lithium-metal battery degradation dataset from continuous cycling experiments

Nojan Aliahmad, Maitri Uppaluri, Alireza Saatchi, Simona Onori, Le Xu, Wenting Ma, Karl Littau
article en
1 citations

Abstract

Lithium-metal batteries are promising next-generation batteries but but their limited lifetime and safety concerns remain key challenges for real-world deployment. The dataset presented in this paper contains current and voltage data, from which the capacity is calculated from 23 different lithium-metal battery cells, encompassing four different design configurations and nominal capacities. The cells were manufactured at Sakuu Corp., and the data were collected in its R&D laboratory. The cells underwent continuous cycling with a constant-current (CC) discharge and a constant-current constant-voltage (CC-CV) charge at different C-rates and voltage cutoffs at room temperature. Each cell experiences capacity loss from repeated cycling due to degradation mechanisms that lead to the formation of dead or inactive lithium, electrolyte depletion and increase in impedance during cycling. The voltage, current, and capacity data for each cycle are presented in the dataset. This dataset can be used for developing models and strategies to predict cell lifespan, accelerating design to improve performance and durability.

Data in BriefVol. 61
SLAC National Accelerator Laboratory (US), Saku University (JP), Environmental and Water Resources Engineering (IL), Stanford University (US)
Openalex Percentile: Top 27%
Advanced Battery Materials and Technologies
0.73
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Lithium-metal battery degradation dataset from continuous cycling experiments — Nojan Aliahmad, Maitri Uppaluri, et al. · Data in Brief (2025) | TGRS Research Map | TGRS