A microcrack propagation-based life prediction model for lithium-ion batteries with Ni-rich cathode materials

被引:9
|
作者
Park, Sun Ho
Lee, Hyobin [1 ]
Park, Joonam
Roh, Youngjoon [1 ]
Byun, Seoungwoo [1 ]
Lim, Jaejin [1 ]
Jung, Seungwon [1 ]
Kim, Nayeon [1 ]
Lee, Kang Taek [3 ]
Lee, Yong Min [1 ,2 ]
机构
[1] Daegu Gyeongbuk Inst Sci & Technol DGIST, Energy Sci & Engn Res Ctr, Daegu 42988, South Korea
[2] Daegu Gyeongbuk Inst Sci & Technol DGIST, Dept Energy Sci & Engn, Daegu 42988, South Korea
[3] Korea Adv Inst Sci & Technol KAIST, Dept Mech Engn, Daejeon 34141, South Korea
基金
新加坡国家研究基金会;
关键词
Life prediction model; Microcrack propagation; Normalized perimeter change; Ni-rich cathode material; Lithium-ion battery; SOLID-ELECTROLYTE-INTERPHASE; CAPACITY FADE; CHEMICAL DEGRADATION; PERFORMANCE; SIMULATION; STATE;
D O I
10.1016/j.est.2022.106420
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 formation and growth of solid electrolyte interphase (SEI) on the anode are key parameters governing battery life prediction models of lithium-ion batteries (LiBs). However, as conventional battery life prediction models do not reflect other degradation parameters such as crack formation and propagation in Ni-rich cathode materials, their accuracy is greatly reduced as the nickel content increases in layered oxide cathode materials. Herein, we propose an advanced prediction model that includes both crack propagation and SEI growth. The reliability of this microcrack propagation-based life prediction model is verified using experimental data of over 50 commercial 18650 LiB cells, which are tested under depths of discharge and current rates, from 500 to 5000 cycles. The proposed model predicts capacity retention values with less than 5 % error, even in practical operations of energy storage systems and electric vehicles, providing a standard solution for predicting the cycle life of LiBs with Ni-rich cathode materials.
引用
收藏
页数:7
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