Electrochemical model boosting accurate prediction of calendar life for commercial LiFePO4|graphite cells by combining solid electrolyte interface side reactions
Long Chen,
Shicong Ding,
Li Wang,
Feng Zhu,
Xiayu Zhu,
Songtong Zhang,
Haifeng Dai,
Xiangming He,
Gaoping Cao,
Jinyi Qiu and
Hao Zhang
Applied Energy, 2024, vol. 376, issue PA, No S0306261924015587
Abstract:
The lithium-ion battery (LIB) is considered an ideal next-generation energy storage device owing to its high safety, high energy density, and low cost. Calendar loss of LIBs is the most important element in the long-term degradation of batteries. However, the calendar life is difficult to measure precisely because of the uncertain and overlong storage years. Consequently, accurately predicting the calendar life of LIBs is a key but challenging issue. In this work, a calendar life prediction model is developed for commercial large-capacity LiFePO4|graphite LIBs based on the pseudo-two-dimensional (P2D) electrochemical model integrated with solid electrolyte interface (SEI) growth side reactions and an empirical degradation rate model for reliability research. The excellent agreement between the model and the experimental storage data over a wide range of temperatures (−40 °C ∼ 70 °C) and SOCs demonstrates the high-fidelity of the model. The established model is sufficiently generic to predict the storage aging of LIBs over a long period of years. On the basis of the verified model, the impact of graphite particle radius distribution on the calendar loss of Li-ion batteries throughout a broad temperature range is investigated. This modeling work contributes to an improved understanding of the calendar loss behavior of LIBs and provides valuable guidance for future battery design optimization.
Keywords: Lithium-ion battery; Calendar life prediction; Solid electrolyte interface growth; Physics-based model (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261924015587
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:376:y:2024:i:pa:s0306261924015587
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2024.124175
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().