Life prediction model and performance degradation of lithium-ion battery under different cut-off voltages

IF 3 4区 材料科学 Q3 CHEMISTRY, PHYSICAL
Pengju Lei , Yonglian Xiong , Chao Zhang , Ting Yi , Xing Qian
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Abstract

Battery lifetime prediction is critical to successfully introducing new products to the market, and a long testing time will affect the promotion of the product. In this paper, The prediction model of battery cycle life composed of cut-off voltages and state of health (SOH) is established based on an inverse power law equation to evaluate the NCM(811)battery. It is found that the capacity is more sensitive to the charge cut-off voltages (CCOV) than to the discharge cut-off voltages (DCOV). The capacity degrades to 67.3 % at 180th cycle in the range of 3–4.4 V, while it is 65.8 % at 380th cycle in the range of 2.5–4.2 V (the normal work voltage of battery is 3–4.2 V). The internal resistance and capacity degradation of the battery is analyzed by the incremental capacity curve and the hybrid pulse power characterization (HPPC) test. The error between prediction and measurement is less than 3 % within 400 cycles, and the model can predict the battery lifetime under different conditions (SOH, voltage). It helps to shorten the test time of new products and optimize the operating conditions of battery.
不同截止电压下锂离子电池寿命预测模型及性能退化
电池寿命预测是新产品成功推向市场的关键,测试时间过长会影响产品的推广。本文基于反幂律方程,建立了由截止电压和健康状态(SOH)组成的电池循环寿命预测模型,对NCM(811)电池进行了评价。研究发现,电容对充电截止电压(CCOV)比放电截止电压(DCOV)更敏感。当电池正常工作电压为3-4.2 V时,当循环180次时,电池容量在3-4.4 V范围内下降到67.3%,当循环380次时,电池容量在2.5-4.2 V范围内下降到65.8%。通过增量容量曲线和混合脉冲功率特性(HPPC)测试分析了电池的内阻和容量下降。在400次循环内,预测与测量误差小于3%,该模型可以预测不同工况(SOH、电压)下的电池寿命。有助于缩短新产品的测试时间,优化电池的运行条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Solid State Ionics
Solid State Ionics 物理-物理:凝聚态物理
CiteScore
6.10
自引率
3.10%
发文量
152
审稿时长
58 days
期刊介绍: This interdisciplinary journal is devoted to the physics, chemistry and materials science of diffusion, mass transport, and reactivity of solids. The major part of each issue is devoted to articles on: (i) physics and chemistry of defects in solids; (ii) reactions in and on solids, e.g. intercalation, corrosion, oxidation, sintering; (iii) ion transport measurements, mechanisms and theory; (iv) solid state electrochemistry; (v) ionically-electronically mixed conducting solids. Related technological applications are also included, provided their characteristics are interpreted in terms of the basic solid state properties. Review papers and relevant symposium proceedings are welcome.
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