A Thermal Tanks-in-Series Model for Simulating over-Discharge Cycling in Lithium-Ion Batteries

作者
Raghav Sai Thiagarajan,Anthony Concepcion,D. P. Tewari,Judith A. Jeevarajan,Venkat R. Subramanian
出处
期刊:Meeting abstracts [Institute of Physics]
卷期号:MA2024-01 (2): 248-248
标识
DOI:10.1149/ma2024-012248mtgabs
摘要

Energy storage will play a crucial role in the transition to clean and renewable sources of energy production to meet future consumption demands.1 Lithium-ion (Li-ion) batteries are widely adopted due to their high energy density, low self-discharge rate and fast charging capabilities for applications like electric vehicles and grid storage.2 Li-ion batteries for high voltage operations, where several cells are connected in series, can experience inadvertent over-discharge due to differences between cells3,4. These differences can arise due to many reasons including changes in internal resistance and deviation in electrochemical degradation that can cause divergence of cell open circuit potentials. Over-discharge is a condition when the manufacturer recommended lower voltage limit is crossed while discharging4, which results in various side effects such as electrolyte decomposition, capacity degradation, cathode morphology change and possible internal short circuit3,5. Increase in anode potential during over-discharge leads to copper dissolution from the anode current collector and subsequent plating within cell components. The Solid Electrolyte Interface (SEI) can decompose during excessive deintercalation and reform during charging, reducing the lithium inventory. Excessive heat generation during cycle life testing after occurrences of over-discharges has been found in some cases to lead to temperatures >150 °C6,7. Temperature plays a key role in the electrochemical performance of individual cells, affecting the diffusivities of ions, kinetics of reactions and rate of degradation of the battery. A physics-based modeling approach coupled with a thermal model can be employed to understand the effect of over-discharge on the electrochemical behavior of Li-ion batteries and provides insights into the interplay of various degradation mechanisms that cause capacity fade. The Thermal Tank-In-Series9,10(TTiS) model is a systematically volume-averaged form of the standard pseudo-2-dimensional (p2D)11 model with energy balance equations for the current collectors, cathode, separator and anode. This reduces the number of equations in the model and improves computational speed while maintaining accuracy, as it is sensitive to changes in the battery’s state of charge (SOC) and cell temperature, which helps predict the overpotential changes to the cell electrodes and thermodynamics. We use the TTiS model to identify the dominant fade mechanisms in 3 sets of experimental cycling and temperature data for the: i) normal operating window (2.5V – 4.2V), ii) 5 initial cycles of over-discharge (1.5V – 4.2V) followed by normal operation until 20% capacity fade and iii) 5 cycles of periodic over-discharge every 20 cycles, until 20% capacity fade. Analysis on the effect of C-rate, ambient temperature and voltage window of operation will facilitate understanding the temperature behavior and overpotentials in a cell sandwich. Key considerations required in extending a model to simulate over-discharge will also be examined. References S.P. S. Badwal, S. S. Giddey, C. Munnings, A. I. Bhatt, and A. F. Hollenkamp, Frontiers in Chemistry, 2, 28 (2014). G. Pistoia. Lithium-Ion Batteries: Advances and Applications. First ed. Elsevier, Amsterdam (2014). R. Guo, L. Lu., M. Ouyang, X. Feng. Sci Rep 6, 30248 (2016). G.Zhang, X. Wei, S. Chen, J. Zhu, G. Han, and H. Dai. J. Power Sources, 521, 230990. (2022). C. Fear, D. Juarez-Robles, J. A. Jeevarajan, and P. P. Mukherjee, J. Electrochem. Soc., 165, A1639–A1647 (2018). D. Juarez-Robles, Purdue Univ. Ph.D. Thesis (2019). H. Maleki and J. N. Howard, J. Power Sources, 160, 1395–1402 (2006). H. Liu, Z. Wei, W. He, and J. Zhao, Energy Convers. Manag., 150, 304–330 (2017). A. Subramaniam, S. Kolluri, S. Santhanagopalan, and V. R. Subramanian, J. Electrochem. Soc., 167, 113506 (2020). A. Subramaniam, S. Kolluri, C. D. Parke, M. Pathak, S. Santhanagopalan, and V. R. Subramanian, J. Electrochem. Soc., 167, 013534 (2020). M. Doyle, T. F. Fuller, and J. Newman, J. Electrochem. Soc., 140, 1526 (1993)

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小呆发布了新的文献求助10
1秒前
科研通AI6.2的应助被mm采纳,获得10
1秒前
1秒前
1秒前
罪恶之王发布了新的文献求助10
1秒前
清秀蹇发布了新的文献求助30
1秒前
ganjqly完成签到,获得积分10
2秒前
马志海发布了新的文献求助10
2秒前
无花果的应助被青蛙起的采纳,获得10
2秒前
3秒前
4秒前
5秒前
默默的念露完成签到,获得积分20
5秒前
5秒前
5秒前
甜豆花粉完成签到 ,获得积分10
5秒前
九九完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
123发布了新的文献求助10
6秒前
安生完成签到 ,获得积分10
7秒前
WWW发布了新的文献求助20
7秒前
林朗发布了新的文献求助10
7秒前
无奈醉柳完成签到,获得积分10
7秒前
芝麻球ii发布了新的文献求助10
8秒前
sss2021完成签到,获得积分10
8秒前
怎么吃不饱呢完成签到 ,获得积分10
8秒前
miaomiao完成签到,获得积分10
8秒前
9秒前
Leon完成签到,获得积分10
9秒前
10秒前
li发布了新的文献求助10
10秒前
zzh完成签到,获得积分10
10秒前
10秒前
修哥发布了新的文献求助10
10秒前
张泽海发布了新的文献求助10
10秒前
qinsu完成签到,获得积分10
11秒前
11秒前
NexusExplorer的应助被严严采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Représentation chimique de la structure des kérogènes et des asphaltènes en fonction de leur origine et de leur degré d'évolution 900
Ecotourism 400
Analytical Separation Science 300
Civilization and War 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8069829
求助须知:如何正确求助?哪些是违规求助? 9490488
关于积分的说明 21359502
捐赠科研通 7638036
什么是DOI,文献DOI怎么找? 3398605
关于科研通互助平台的介绍 2528413
邀请新用户注册赠送积分活动 2436723