A decade of insights: Delving into calendar aging trends and implications

Lithium-ion batteries remain at rest for extended periods and experience calendar aging. Although lithium-ion batteries are expected to perform for over 10 years at room temperature, long-term calendar aging data are seldom reported over such timescales. We present a dataset from 232 commercial cells across eight cell types and five manufacturers that underwent calendar aging across various temperatures and states of charge (SOCs) for up to 13 years. We analyze calendar aging across these conditions by tracking capacity loss and resistance growth as the cells degrade. This dataset is used to validate simple models, primarily the Arrhenius law and the power law, which explain the temperature and storage time on calendar aging. Certain applications of Arrhenius and power law fail to describe the dependence of capacity loss on temperature and resistance growth on storage time. Through this dataset, we demonstrate the complexity of calendar aging and the challenges in reducing trends into phenomenological models.

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Publication Details

Journal
Joule
Published
2024-12-18
DOI
https://doi.org/10.1016/j.joule.2024.11.013
Citations
37
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
7.53
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A decade of insights: Delving into calendar aging trends and implications

Xiaofan Cui, Maitri Uppaluri, Florian Stroebl, Simona Onori et al.
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A decade of insights: Delving into calendar aging trends and implications

Xiaofan Cui, Maitri Uppaluri, Florian Stroebl, Simona Onori, Vivek Lam, William C. Chueh
article en
37 citations

Abstract

Lithium-ion batteries remain at rest for extended periods and experience calendar aging. Although lithium-ion batteries are expected to perform for over 10 years at room temperature, long-term calendar aging data are seldom reported over such timescales. We present a dataset from 232 commercial cells across eight cell types and five manufacturers that underwent calendar aging across various temperatures and states of charge (SOCs) for up to 13 years. We analyze calendar aging across these conditions by tracking capacity loss and resistance growth as the cells degrade. This dataset is used to validate simple models, primarily the Arrhenius law and the power law, which explain the temperature and storage time on calendar aging. Certain applications of Arrhenius and power law fail to describe the dependence of capacity loss on temperature and resistance growth on storage time. Through this dataset, we demonstrate the complexity of calendar aging and the challenges in reducing trends into phenomenological models.

JouleVol. 9(1)
SLAC National Accelerator Laboratory (US), Stanford University (US)
Openalex Percentile: Top 2%
Advanced Battery Technologies Research
7.53
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