Cited by 586Battery Modeling and ManagementAdvancements in Battery MaterialsAdvanced Battery Materials and Technologies

The DOI matches its Crossref record.

Mathematical Modeling of the Lithium Deposition Overcharge Reaction in Lithium‐Ion Batteries Using Carbon‐Based Negative Electrodes

Open access

Arora, Pankaj, Doyle, Marc, White, Ralph E.·1999·Journal of The Electrochemical Society

Open this paper in CoChat — free account Open PDF

Abstract

The processes that lead to capacity fading affect severely the cycle life and rate behavior of lithium‐ion cells. One such process is the overcharge of the negative electrode causing lithium deposition, which can lead to capacity losses including a loss of active lithium and electrolyte and represents a potential safety hazard. A mathematical model is presented to predict lithium deposition on the negative electrode under a variety of operating conditions. The , 2:1 ethylene carbonate/dimethyl carbonate, poly(vinylidene fluoride‐hexalfuoropropylene)| cell is simulated to investigate the influence of lithium deposition on the charging behavior of intercalation electrodes. The model is used to study the effect of key design parameters (particle size, electrode thickness, and mass ratio) on the lithium deposition overcharge reaction. The model predictions are compared for coke and graphite‐based negative electrodes. The cycling behavior of these cells is simulated before and after overcharge to understand the effect of overcharge on extended cycling. These results can be used to establish operational and design limits within which safety hazards and capacity fade problems, inherent in these cells, can be minimized. © 1999 The Electrochemical Society. All rights reserved.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1149/1.1392512

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The publisher hasn’t deposited this paper’s reference list.

Research works printed but not linked: 15

P. Arora, R. E. White, and M. Doyle, J. Electrochem. Soc., 145, 3647 (1998).
M. Doyle, T. F. Fuller, and J. Newman, J. Electrochem. Soc., 140, 1527 (1993).
T. F. Fuller, M. Doyle, and J. Newman, J. Electrochem. Soc., 141, 1 (1994).
M. Doyle, J. Newman, A. S. Gozdz, C. N. Schmutz, and J. M. Tarascon, J. Elec- trochem. Soc., 143, 1890 (1996).
P. Arora, M. Doyle, A. S. Gozdz, R. E. White, and J. Newman, Advances in Math- ematical Modeling and Simulation of Electrochemical Processes and Oxygen Depolarized Cathodes for Chlor-Alkali and Chlorate Processes, J. W. Van Zee, T. F. Fuller, P. C. Foller, and F. Hine, Editors, PV 98-10, p. 29, The Electrochemi- cal Society Proceedings Series, Pennington, NJ (1998).
R. Darling and J. Newman, J. Electrochem. Soc., 145, 990 (1998).
A. N. Dey and B. P. Sullivan, J. Electrochem. Soc., 117, 222 (1970).
R. Fong, U. Von Sacken, and J. R. Dahn, J. Electrochem. Soc., 137, 2009 (1990).
J. S. Newman, Electrochemical Systems, 2nd ed., Prentice Hall, Englewood Cliffs, NJ (1991).
R. Jasinski, Advances in Electrochemistry and Electrochemical Engineering, Vol. 8, P. Delahay and C. W. Tobias, Editors, Wiley-Interscience, New York (1971).
M. W. Verbrugge and B. J. Koch, J. Electroanal. Chem., 367, 123 (1994).
M. W. Verbrugge, AIChE J., 41, 1550 (1995).
E. Peled, D. Golodnitsky, C. Menachem, and D. Bar-Tow, J. Electrochem. Soc., 145, 3482 (1998).
Y. Geronov, F. Schwager, and R. H. Muller, in Lithium Nonaqueous Battery Elec- trochemistry, E. G. Yeager, B. Schumm, G. Blomgren, D. R. Blankenship, V. Leger, and J. Akridge, Editors, PV 80-7, p. 115, The Electrochemical Society Proceedings Series, Princeton, NJ (1980).
E. Peled, Ambient Temperature Lithium Batteries, J. P. Gabano, Editor, Academic Press, New York (1983).

Sorted by citations

Items 101–200 of 582

Electrochemical Modeling of Linear and Nonlinear Aging of Lithium-Ion Cells
Keil, J., & Jossen, A. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/aba44f · Cited by 158
Quantification of Inactive Lithium and Solid–Electrolyte Interphase Species on Graphite Electrodes after Fast Charging
McShane, E. J., Colclasure, A. M., Brown, D. E., Konz, Z. M., Smith, K. A., & McCloskey, B. D. (2020) · ACS Energy Letters · doi:10.1021/acsenergylett.0c00859 · Cited by 156
Parameterization of a Physico-Chemical Model of a Lithium-Ion Battery
Ecker, M., Käbitz, S., Laresgoiti, I., & Sauer, D. U. (2015) · Journal of The Electrochemical Society · doi:10.1149/2.0541509jes · Cited by 153
A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data
Zhang, Y., Wik, T., Bergström, J., PECHT, M. G., & Zou, C. (2022) · Journal of Power Sources · doi:10.1016/j.jpowsour.2022.231110 · Cited by 152
Simulation-Based Analysis of Aging Phenomena in a Commercial Graphite/LiFePO4 Cell
Safari, M., & Delacourt, C. (2011) · Journal of The Electrochemical Society · doi:10.1149/2.103112jes · Cited by 149
Temperature-Adaptive Alternating Current Preheating of Lithium-Ion Batteries with Lithium Deposition Prevention
Ge, H., Huang, J., Zhang, J., & Li, Z. Y. (2015) · Journal of The Electrochemical Society · doi:10.1149/2.0961602jes · Cited by 151
Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries
Li, W., Zhang, J., Ringbeck, F., Jöst, D., Zhang, L., Wei, Z., & Sauer, D. U. (2021) · Journal of Power Sources · doi:10.1016/j.jpowsour.2021.230034 · Cited by 156
Controls oriented reduced order modeling of lithium deposition on overcharge
Perkins, R. D., Randall, A. V., Zhang, X., & Plett, G. L. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.03.003 · Cited by 147
Electrochemical Model-Based State of Charge Estimation for Li-Ion Cells
Corno, M., Bhatt, N., Savaresi, S. M., et al. (2014) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2014.2314333 · Cited by 145
Influence of local lithium metal deposition in 3D microstructures on local and global behavior of Lithium-ion batteries
Hein, S., & Latz, A. (2016) · Electrochimica Acta · doi:10.1016/j.electacta.2016.01.220 · Cited by 144
A survey on lithium-ion battery internal and external degradation modeling and state of health estimation
Vennam, G., Sahoo, A., & Ahmed, S. M. F. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104720 · Cited by 146
Effect of Calendering on Electrode Wettability in Lithium-Ion Batteries
Sheng, Y., Fell, C. R., Son, Y. K., Metz, B. M., Jiang, J., & Church, B. C. (2014) · Frontiers in Energy Research · doi:10.3389/fenrg.2014.00056 · Cited by 148
Electrochemical Analysis of Lithiated Graphite Anodes
Verbrugge, M. W., & Koch, B. J. (2003) · Journal of The Electrochemical Society · doi:10.1149/1.1553788 · Cited by 143
Fast charging of an electric vehicle lithium-ion battery at the limit of the lithium deposition process
Sieg, J., Bandlow, J., Mitsch, T., Dragicevic, D., Materna, T., Spier, B., Witzenhausen, H., Ecker, M., & Sauer, D. U. (2019) · Journal of Power Sources · doi:10.1016/j.jpowsour.2019.04.047 · Cited by 141
Effect of pre-lithiation degrees of mesocarbon microbeads anode on the electrochemical performance of lithium-ion capacitors
Zhang, J., Shi, Z., & Wang, C. (2014) · Electrochimica Acta · doi:10.1016/j.electacta.2014.01.040 · Cited by 138
Identification of nano-sized holes by TEM in the graphene layer of graphite and the high rate discharge capability of Li-ion battery anodes
Takamura, T., Endo, K., Fu, L., et al. (2007) · Electrochimica Acta · doi:10.1016/j.electacta.2007.03.052 · Cited by 137
Multiscale dynamics of charging and plating in graphite electrodes coupling operando microscopy and phase-field modelling
Lu, X., Lagnoni, M., Bertei, A., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40574-6 · Cited by 137
Particle Size Polydispersity in Li-Ion Batteries
Chung, D., Shearing, P. R., Brandon, N. P., Harris, S. J., & Garcı́a, R. E. (2014) · Journal of The Electrochemical Society · doi:10.1149/2.097403jes · Cited by 131
Numerical and experimental evaluation of the relationship between porous electrode structure and effective conductivity of ions and electrons in lithium-ion batteries
Inoue, G., & Kawase, M. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.12.098 · Cited by 132
Extreme Fast Charge Challenges for Lithium-Ion Battery: Variability and Positive Electrode Issues
Tanim, T. R., Dufek, E. J., Evans, M., Dickerson, C. C., Jansen, A. N., Polzin, B. J., Dunlop, A. R., Trask, S. E., Jackman, R., Bloom, I., et al. (2019) · Journal of The Electrochemical Society · doi:10.1149/2.0731910jes · Cited by 133
Overcharge Effect on Morphology and Structure of Carbon Electrodes for Lithium-Ion Batteries
Lu, W., López, C. M., Liu, N., Vaughey, J. T., Jansen, A. N., & Dees Dennis, W. (2012) · Journal of The Electrochemical Society · doi:10.1149/2.jes035205 · Cited by 131
Electrochemical-thermal modeling of lithium plating/stripping of Li(Ni0.6Mn0.2Co0.2)O2/Carbon lithium-ion batteries at subzero ambient temperatures
Zhao, X., Yin, Y., Hu, Y., & Choe, S.-Y. (2019) · Journal of Power Sources · doi:10.1016/j.jpowsour.2019.02.001 · Cited by 129
Thermodynamically consistent modeling of elementary electrochemistry in lithium-ion batteries
Colclasure, A. M., & Kee, R. J. (2010) · Electrochimica Acta · doi:10.1016/j.electacta.2010.08.018 · Cited by 128
Direct in situ observation and explanation of lithium dendrite of commercial graphite electrodes
Guo, Z., Zhu, J., Feng, J., et al. (2015) · RSC Advances · doi:10.1039/c5ra13289d · Cited by 126
Online state of health and aging parameter estimation using a physics-based life model with a particle filter
Bi, Y., Yin, Y., & Choe, S.-Y. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.228655 · Cited by 124
A generalizable, data-driven online approach to forecast capacity degradation trajectory of lithium batteries
Liu, X., Zhang, X., Chen, X., Zhu, G., Yan, C., Huang, J., & Peng, H. (2021) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2021.12.004 · Cited by 127
Health conscious fast charging of Li-ion batteries via a single particle model with aging mechanisms
Lin, X., Hao, X., Liu, Z., & Jia, W. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.08.030 · Cited by 122
Life Simulation of a Graphite/LiFePO4Cell under Cycling and Storage
Delacourt, C., & Safari, M. (2012) · Journal of The Electrochemical Society · doi:10.1149/2.049208jes · Cited by 121
Fast-charging effects on ageing for energy-optimized automotive LiNi1/3Mn1/3Co1/3O2/graphite prismatic lithium-ion cells
Mussa, A. S., Liivat, A., Marzano, F. L., Klett, M., Philippe, B., Tengstedt, C., Lindbergh, G., Edström, K., Lindström, R. W., & Svens, P. I. (2019) · Journal of Power Sources · doi:10.1016/j.jpowsour.2019.02.095 · Cited by 116
Life-Prediction Methods for Lithium-Ion Batteries Derived from a Fatigue Approach
Safari, M., Morcrette, M., Teyssot, A., & Delacourt, C. (2010) · Journal of The Electrochemical Society · doi:10.1149/1.3374634 · Cited by 117
Stratified Zinc‐Binding Strategy toward Prolonged Cycling and Flexibility of Aqueous Fibrous Zinc Metal Batteries
Shen, Z., Luo, L., Li, C., et al. (2021) · Advanced Energy Materials · doi:10.1002/aenm.202100214 · Cited by 118
Semi-supervised learning for explainable few-shot battery lifetime prediction
Guo, N., Chen, S., Tao, J., Liu, Y., Wan, J., & Li, X. (2024) · Joule · doi:10.1016/j.joule.2024.02.020 · Cited by 119
On Graded Electrode Porosity as a Design Tool for Improving the Energy Density of Batteries
Dai, Y., & Srinivasan, V. (2015) · Journal of The Electrochemical Society · doi:10.1149/2.0301603jes · Cited by 114
High-throughput Li plating quantification for fast-charging battery design
Konz, Z. M., Wirtz, B. M., Verma, A., Huang, T., Bergstrom, H. K., Crafton, M. J., Brown, D. E., McShane, E. J., Colclasure, A. M., & McCloskey, B. D. (2023) · Nature Energy · doi:10.1038/s41560-023-01194-y · Cited by 118
Nonlinear phase field model for electrodeposition in electrochemical systems
Liang, L., & Chen, L. (2014) · Applied Physics Letters · doi:10.1063/1.4905341 · Cited by 110
A strategy of selective and dendrite-free lithium deposition for lithium batteries
Xiang, J., Zhao, Y., Yuan, L., et al. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.10.065 · Cited by 110
Fast Charging of Li-Ion Cells: Part I. Using Li/Cu Reference Electrodes to Probe Individual Electrode Potentials
Rodrigues, M., Kalaga, K., Trask, S., Dees, D., Shkrob, I., & Abraham, D. (2019) · Journal of the Electrochemical Society · doi:10.1149/2.0401906jes · Cited by 91
Ultrafast charging of energy-dense lithium-ion batteries for urban air mobility
Liu, T., Yang, X.-G., Ge, S., Leng, Y.-J., & Wang, C.-Y. (2021) · eTransportation · doi:10.1016/j.etran.2021.100103 · Cited by 99
A Deep Reinforcement Learning Framework for Fast Charging of Li-Ion Batteries
Park, S., Pozzi, A., Whitmeyer, M., Perez, H. E., Kandel, A., Kim, G., Choi, Y., Joe, W. T., Raimondo, D. M., & Moura, S. J. (2022) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2022.3140316 · Cited by 117
Lithium-ion battery life prognostic health management system using particle filtering framework
Dalal, M., Ma, J., & He, D. (2011) · Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability · doi:10.1177/1748006xjrr342 · Cited by 109
Multi-length scale microstructural design of lithium-ion battery electrodes for improved discharge rate performance
Lu, X., Zhang, X., Tan, C., Heenan, T. M. M., Lagnoni, M., O’Regan, K. B., Daemi, S. R., Bertei, A., Jones, H. G., Hinds, G., et al. (2021) · Energy & Environmental Science · doi:10.1039/d1ee01388b · Cited by 107
Direct observation of internal short circuits by lithium dendrites in cross-sectional lithium-ion in situ full cells
Hogrefe, C., Waldmann, T., Hölzle, M., & Wohlfahrt‐Mehrens, M. (2022) · Journal of Power Sources · doi:10.1016/j.jpowsour.2022.232391 · Cited by 107
Fast and safe charging method suppressing side reaction and lithium deposition reaction in lithium ion battery
Song, M., & Choe, S.-Y. (2019) · Journal of Power Sources · doi:10.1016/j.jpowsour.2019.226835 · Cited by 102
In Situ Observation and Mathematical Modeling of Lithium Distribution within Graphite
Thomas‐Alyea, K. E., Jung, C., Smith, R. B., et al. (2017) · Journal of The Electrochemical Society · doi:10.1149/2.0061711jes · Cited by 102
Overcharge and Aging Analytics of Li-Ion Cells
Robles, D. J., Vyas, A. A., Fear, C., Jeevarajan, J. A., & Mukherjee, P. P. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab9569 · Cited by 102
Research Progress of Lithium Plating on Graphite Anode in Lithium‐Ion Batteries
Hu, D., Chen, L., Tian, J., Su, Y., Li, N., Chen, G., Hu, Y., Dou, Y., Chen, S., & Wu, F. (2020) · Chinese Journal of Chemistry · doi:10.1002/cjoc.202000512 · Cited by 108
Mathematical model for thermal behavior of lithium ion battery pack under overcharge
Qi, C., Zhu, Y., Gao, F., et al. (2018) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2018.03.100 · Cited by 101
An ultra-fast charging strategy for lithium-ion battery at low temperature without lithium plating
Qin, Y., Zuo, P., Chen, X., Yuan, W., Huang, R., Yang, X., Du, J., Lu, L., Han, X., & Ouyang, M. (2022) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2022.05.010 · Cited by 99
An Electrochemical Model of Lithium Plating and Stripping in Lithium Ion Batteries
Hein, S., Danner, T., & Latz, A. (2020) · ACS Applied Energy Materials · doi:10.1021/acsaem.0c01155 · Cited by 95
Modeling and Estimation for Advanced Battery Management
Lin, X., Kim, Y., Mohan, S. N., Siegel, J. B., & Stefanopoulou, A. G. (2019) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-053018-023643 · Cited by 99
Fast charge implications: Pack and cell analysis and comparison
Tanim, T. R., Shirk, M. G., Bewley, R. L., Dufek, E. J., & Liaw, B. Y. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.01.091 · Cited by 93
Spatially Resolved Modeling of Microstructurally Complex Battery Architectures
Garcı́a, R. E., & Chiang, Y. (2007) · Journal of The Electrochemical Society · doi:10.1149/1.2754072 · Cited by 92
Electrochemical-thermal P2D aging model of a LiCoO2/graphite cell: Capacity fade simulations
Lamorgese, A. G., Mauri, R., & Tellini, B. (2018) · Journal of Energy Storage · doi:10.1016/j.est.2018.08.011 · Cited by 91
The Effect of Microstructure on the Galvanostatic Discharge of Graphite Anode Electrodes in LiCoO[sub 2]-Based Rocking-Chair Rechargeable Batteries
Smith, M., Garcı́a, R. E., & Horn, Q. C. (2009) · Journal of The Electrochemical Society · doi:10.1149/1.3216000 · Cited by 87
Enhanced performance and lifetime of lithium-ion batteries by laser structuring of graphite anodes
Kriegler, J., Hille, L., Stock, S., Kraft, L., Hagemeister, J., Habedank, J. B., Jossen, A., & Zaeh, M. F. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117693 · Cited by 86
LiH formation and its impact on Li batteries revealed by cryogenic electron microscopy
Vilá, R. A., Boyle, D. T., Dai, A. X., Zhang, W.-B., Sayavong, P., Ye, Y., Yang, Y., Dionne, J., & Cui, Y. (2023) · Science Advances · doi:10.1126/sciadv.adf3609 · Cited by 73
Impacts of lean electrolyte on cycle life for rechargeable Li metal batteries
Nagpure, S. C., Tanim, T. R., Dufek, E. J., Viswanathan, V., Crawford, A., Wood, S. M., Xiao, J., Dickerson, C. C., & Liaw, B. Y. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.10.060 · Cited by 86
Fingerprinting Redox Heterogeneity in Electrodes during Extreme Fast Charging
Mistry, A. N., Usseglio‐Viretta, F. L. E., Colclasure, A. M., Smith, K. A., & Mukherjee, P. P. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab8fd7 · Cited by 85
Fast Charging of Lithium-ion Batteries via Electrode Engineering
Vishnugopi, B. S., Verma, A., & Mukherjee, P. P. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab7fb9 · Cited by 82
Effect of thermal environments on fast charging Li-ion batteries
Liu, T., Ge, S., Yang, X., et al. (2021) · Journal of Power Sources · doi:10.1016/j.jpowsour.2021.230466 · Cited by 79
Research progress on electrolytes for fast-charging lithium-ion batteries
Zhang, D., Li, L., Zhang, W.-Z., Cao, M.-H., Qiu, H.-W., & Ji, X.-Y. (2022) · Chinese Chemical Letters · doi:10.1016/j.cclet.2022.01.015 · Cited by 53
Pseudo 3D Modeling and Analysis of the SEI Growth Distribution in Large Format Li-Ion Polymer Pouch Cells
Awarke, A., Pischinger, S., & Ogrzewalla, J. (2012) · Journal of The Electrochemical Society · doi:10.1149/2.022302jes · Cited by 79
Review of computational parameter estimation methods for electrochemical models
Miguel, E., Plett, G. L., Trimboli, M. S., Oca, L., Iraola, U., & Bekaert, É. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103388 · Cited by 78
Optimal Charging Profiles with Minimal Intercalation-Induced Stresses for Lithium-Ion Batteries Using Reformulated Pseudo 2-Dimensional Models
Suthar, B., Northrop, P. W. C., Braatz, R. D., & Subramanian, V. R. (2014) · Journal of The Electrochemical Society · doi:10.1149/2.0211411jes · Cited by 79
A study on effect of lithium ion battery design variables upon features of thermal-runaway using mathematical model and simulation
Lee, C. H., Bae, S. J., & Jang, M. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.05.095 · Cited by 77
Optimal Design of Li-Ion Batteries through Multi-Physics Modeling and Multi-Objective Optimization
Liu, C., & Liu, L. (2017) · Journal of The Electrochemical Society · doi:10.1149/2.0291711jes · Cited by 74
Overcharge Investigation of Large Format Lithium-Ion Pouch Cells with Li(Ni 0.6 Co 0.2 Mn 0.2 )O 2 Cathode for Electric Vehicles: Degradation and Failure Mechanisms
Zhu, X., Wang, Z., Wang, C., & Huang, L. (2018) · Journal of The Electrochemical Society · doi:10.1149/2.0161816jes · Cited by 74
Modeling, estimation, and control challenges for lithium-ion batteries
Chaturvedi, N. A., Klein, R., Christensen, J., Ahmed, J., & Kojić, A. (2010) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2010.5531623 · Cited by 80
Communication—Technique for Visualization and Quantification of Lithium-Ion Battery Separator Microstructure
Lagadec, M. F., Ebner, M., Zahn, R., & Wood, V. C. (2016) · Journal of The Electrochemical Society · doi:10.1149/2.0811606jes · Cited by 72
Modeling the effect of two-stage fast charging protocol on thermal behavior and charging energy efficiency of lithium-ion batteries
Xu, M., Wang, R., Reichman, B., et al. (2018) · Journal of Energy Storage · doi:10.1016/j.est.2018.09.004 · Cited by 73
Influence of lithium plating on lithium-ion battery aging at high temperature
Liu, J.-L., Zhang, Y., Bai, J.-L., Zhou, L.-F., & Wang, Z.-R. (2023) · Electrochimica Acta · doi:10.1016/j.electacta.2023.142362 · Cited by 66
Challenges and Strategies of Fast-Charging Li-Ion Batteries with a Focus on Li Plating
Dong, Y., Chen, Y., Zeng, Q., Feng, J., Fang, M., Shi, Z., Liu, J., Sheng, Y., Yue, X., & Liang, Z. (2024) · Energy Material Advances · doi:10.34133/energymatadv.0113 · Cited by 79
A control-oriented electrochemical model for lithium-ion battery. Part II: Parameter identification based on reference electrode
Chu, Z., Jobman, R. R., Rodríguez, A., Plett, G. L., Trimboli, M. S., Feng, X., & Ouyang, M. (2019) · Journal of Energy Storage · doi:10.1016/j.est.2019.101101 · Cited by 67
Enhanced representations of lithium-ion batteries in power systems models and their effect on the valuation of energy arbitrage applications
Sakti, A., Gallagher, K. G., Sepulveda, N. A., et al. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.12.063 · Cited by 69
Analysis of the effect of resistance increase on the capacity fade of lithium ion batteries
Mandli, A. R., Kaushik, A., Patil, R. S., Naha, A., Hariharan, K. S., Kolake, S. M., Han, S., & Choi, W. (2019) · International Journal of Energy Research · doi:10.1002/er.4397 · Cited by 68
Diagnosis of failure modes for all-solid-state Li-ion batteries enabled by three-electrode cells
Nam, Y. J., Park, K. H., Oh, D. Y., An, W. H., & Jung, Y. S. (2018) · Journal of Materials Chemistry A · doi:10.1039/c8ta03450h · Cited by 68
Lithium-ion batteries under pulsed current operation to stabilize future grids
Qin, Y., Chen, X., Tomaszewska, A., Chen, H., Wei, Y., Zhu, H., Li, Y., Cui, Z., Huang, J., Du, J., et al. (2021) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2021.100708 · Cited by 64
In Situ Scanning Electron Microscopy Characterization of the Mechanism for Li Dendrite Growth
Tang, C.-Y., & Dillon, S. J. (2016) · Journal of The Electrochemical Society · doi:10.1149/2.0891608jes · Cited by 67
Thermal safety study of Li‐ion batteries under limited overcharge abuse based on coupled electrochemical‐thermal model
Zeng, G., Bai, Z., Huang, P., & Wang, Q. (2020) · International Journal of Energy Research · doi:10.1002/er.5125 · Cited by 68
A Single Particle model with electrolyte and side reactions for degradation of lithium-ion batteries
Planella, F. B., & Widanage, W. D. (2022) · Applied Mathematical Modelling · doi:10.1016/j.apm.2022.12.009 · Cited by 69
Comparison of approximate solution methods for the solid phase diffusion equation in a porous electrode model
Zhang, Q., & White, R. E. (2007) · Journal of Power Sources · doi:10.1016/j.jpowsour.2006.12.056 · Cited by 66
Self-citation
Application of MOFs-derived mixed metal oxides in energy storage
Wang, Y., Li, B., Zhang, B., et al. (2020) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2020.114576 · Cited by 65
Stochastic 3D modeling of the microstructure of lithium-ion battery anodes via Gaussian random fields on the sphere
Feinauer, J., Brereton, T. J., Spettl, A., Weber, M., Manke, I., & Schmidt, V. (2015) · Computational Materials Science · doi:10.1016/j.commatsci.2015.06.025 · Cited by 64
Optimal charging profiles for mechanically constrained lithium-ion batteries
Suthar, B., Ramadesigan, V., De, S., Braatz, R. D., & Subramanian, V. R. (2013) · Physical Chemistry Chemical Physics · doi:10.1039/c3cp52806e · Cited by 66
Accurate Model Parameter Identification to Boost Precise Aging Prediction of Lithium‐Ion Batteries: A Review
Ding, S., Li, Y., Dai, H., Wang, L., & He, X. (2023) · Advanced Energy Materials · doi:10.1002/aenm.202301452 · Cited by 67
Maximizing the Life of a Lithium-Ion Cell by Optimization of Charging Rates
Rahimian, S. K., Rayman, S. C., & White, R. E. (2010) · Journal of The Electrochemical Society · doi:10.1149/1.3491367 · Cited by 64
Self-citation
Anode potential controlled charging prevents lithium plating
Rangarajan, S. P., Barsukov, Y., & Mukherjee, P. (2020) · Journal of Materials Chemistry A · doi:10.1039/d0ta04467a · Cited by 37
Cycle performance of lithium-ion capacitors using graphite negative electrodes at different pre-lithiation levels
Kumagai, S., Ishikawa, T., & Sawa, N. (2015) · Journal of Energy Storage · doi:10.1016/j.est.2015.05.005 · Cited by 64
Physical Origin of the Differential Voltage Minimum Associated with Lithium Plating in Li-Ion Batteries
O’Kane, S. E. J., Campbell, I. D., Marzook, M. W., Offer, G. J., & Marinescu, M. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab90ac · Cited by 64
Phase-field study of dendritic morphology in lithium metal batteries
Chen, C., & Pao, C. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.229203 · Cited by 63
Online aging determination in lithium-ion battery module with forced temperature gradient
Zilberman, I., Ludwig, S., Schiller, M., & Jossen, A. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2019.101170 · Cited by 61
Extremely Fast-Charging Batteries: Principle, Strategies, Detection, and Prediction
Liu, H., Zhao, L., Ye, Y., Yang, X., Zhang, Y., Li, Q., Li, R., Liu, H., Huang, B., Wu, F., et al. (2025) · Chemical Reviews · doi:10.1021/acs.chemrev.5c00203 · Cited by 65
Remaining capacity estimation of Li-ion batteries based on temperature sample entropy and particle filter
Li, J., Lyu, C., Wang, L., Zhang, L., & Li, C. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.06.133 · Cited by 62
A Computationally Efficient Approach for Optimizing Lithium-Ion Battery Charging
Liu, J., Li, G., & Fathy, H. K. (2015) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4032066 · Cited by 62
Anode Overpotential Control via Interfacial Modification: Inhibition of Lithium Plating on Graphite Anodes.
Tallman, K. R., Zhang, B., Wang, L., Yan, S.-H., Thompson, K., Tong, X., Thieme, J., Kiss, A. M., Marschilok, A., Takeuchi, K., et al. (2019) · ACS Applied Materials and Interfaces · doi:10.1021/acsami.9b16794 · Cited by 52
Modeling the Performance and Cost of Lithium-Ion Batteries for Electric-Drive Vehicles (Second Edition)
Nelson, P. A., Gallagher, K. G., Bloom, I., et al. (2012) · doi:10.2172/1209682 · Cited by 61
Lithium-ion battery cathode and anode potential observer based on reduced-order electrochemical single particle model
Li, L., Ren, Y., O’Regan, K. B., Koleti, U. R., Kendrick, E., Widanage, W. D., & Marco, J. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103324 · Cited by 58
Effect of Relaxation Periods over Cycling Performance of a Li-Ion Battery
Rashid, M. M., & Gupta, A. K. (2015) · Journal of The Electrochemical Society · doi:10.1149/2.0201502jes · Cited by 60
A comprehensive overview of lithium-ion batteries for electric vehicles: Materials, performance, safety, recycling, and emerging technologies
Sciatti, F., Tamburrano, P., Distaso, E., Amirante, R., Radogna, A. V., Morciano, A., & Grassi, G. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.119694 · Cited by 76
Reduced Order Modeling of Mechanical Degradation Induced Performance Decay in Lithium-Ion Battery Porous Electrodes
Barai, P., Smith, K. A., Chen, C., Kim, G., & Mukherjee, P. P. (2015) · Journal of The Electrochemical Society · doi:10.1149/2.0241509jes · Cited by 56

Authors: Arora, P., Doyle, M., & White, R. E.
Affiliations: University of South Carolina (US)
DuPont (United States) (US)
ORCID: White, Ralph E.
Venue: Journal of The Electrochemical Society
Publisher: The Electrochemical Society
Published: 1999-10-01
Volume: 146
Issue: 10
Pages: 3543-3553
ISSN: 0013-4651 (ISSN-L)
1945-7111
DOI: 10.1149/1.1392512
OpenAlex: W2059262407
Cited by: 586
References: 0
Citations by year: 2026: 41 · 2025: 58 · 2024: 57 · 2023: 42 · 2022: 46 · 2021: 44 · 2020: 50 · 2019: 44 · 2018: 31 · 2017: 28 · 2016: 17 · 2015: 25 · 2014: 22 · 2013: 11 · 2012: 13
FWCI: 7.60
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: iopscience.iop.org/page/copyright (vor, 7371 d)
iopscience.iop.org/info/page/text-and-data-mining (tdm, 7371 d)
Locations: Journal of The Electrochemical Society (publishedVersion)
Scholar Commons (University of South Carolina) (submittedVersion)
Funders: Office of Research and Development
University of South Carolina
Topics: Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Battery Materials and Technologies
Keywords: lithium plating, overcharging, lithium-ion batteries, carbon negative electrode, capacity fade, mathematical modeling, coke, graphite, intercalation electrodes, particle size, electrode thickness, mass ratio, cycling behavior, safety hazards, PVDF-HFP

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Mathematical Modeling of the Lithium Deposition Overcharge Reaction in Lithium‐Ion Batteries Using Carbon‐Based Negative Electrodes

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks