Electrochemical model boosting accurate prediction of calendar life for commercial LiFePO4|graphite cells by combining solid electrolyte interface side reactions

被引:4
作者
Chen, Long [1 ,3 ]
Ding, Shicong [2 ,4 ]
Wang, Li [2 ]
Zhu, Feng [3 ]
Zhu, Xiayu [1 ]
Zhang, Songtong [1 ]
Dai, Haifeng [4 ]
He, Xiangming [2 ]
Cao, Gaoping [1 ]
Qiu, Jinyi [1 ]
Zhang, Hao [1 ]
机构
[1] Res Inst Chem Def, Beijing 100191, Peoples R China
[2] Tsinghua Univ, Inst Nucl & New Energy Technol, Beijing 100084, Peoples R China
[3] Natl New Energy Vehicle Technol Innovat Ctr, Beijing 100176, Peoples R China
[4] Tongji Univ, Sch Automot Studies, 4800 Caoan Rd, Shanghai 201804, Peoples R China
基金
中国国家自然科学基金;
关键词
Lithium-ion battery; Calendar life prediction; Solid electrolyte interface growth; Physics-based model; LITHIUM-ION BATTERIES; SELF-DISCHARGE BEHAVIOR; CAPACITY FADE; AGING MODEL; DEGRADATION; PERFORMANCE; INTERPHASE; RELIABILITY; GRAPHITES; DESIGN;
D O I
10.1016/j.apenergy.2024.124175
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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 degrees C similar to 70 degrees 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.
引用
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页数:12
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