The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Modeling and simulation of inhomogeneities in a 18650 nickel-rich, silicon-graphite lithium-ion cell during fast charging
Open accessAbstract
Abstract Recent high-energy lithium-ion batteries contain highly densified electrodes, but they are expected to endure fast charging without safety compromises or accelerated aging. To investigate fast charging strategies, we use a multi-dimensional model consisting of several newman-type electrochemical models (p2D) coupled to an electrical-thermal cell domain model. Open-circuit potential, infrared thermography and calorimetry experiments of a high-energy 18650 NMC-811/SiC lithium-ion cell are used for model parameterization and validation. First, a single p2D model is used to compare the charging rate capabilities of NMC-811/SiC and NMC-111/graphite cells. We assess the modeling error of the single p2D model relative to the multi-dimensional model as a function of tab design. The multi-dimensional model is then used to study different tab and electrode designs regarding their susceptibility to lithium plating, which is evaluated based on local anode overpotential and local temperature. High-rate charging current profiles that minimize the risk of lithium plating are derived by implementing an anode potential threshold. We show that a state of charge beyond 60% can be reached in less than 18 min.
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Cites
1 retracted
Dash, R. K., & Pannala, S. (2016) · Scientific Reports · doi:10.1038/srep27449 · Cited by 108
RetractedBruggeman, D. A. G. (1935) · Annalen der Physik · doi:10.1002/andp.19354160705 · Cited by 8,645
High-performance lithium battery anodes using silicon nanowires
Chan, C. K., Peng, H., Liu, G., McIlwrath, K., Zhang, X. F., Huggins, R. A., & Cui, Y. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2007.411 · Cited by 6,683
Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell
Doyle, M., Fuller, T. F., & Newman, J. (1993) · Journal of The Electrochemical Society · doi:10.1149/1.2221597 · Cited by 4,328 · cited 2×
“The electrochemical model used in this work is the widely applied newmantype p2D model [22] which is based on porous electrode theory, reaction kinetics and concentrated solution theory [66].”
MethodA General Energy Balance for Battery Systems
Bernardi, D., Pawlikowski, E., & Newman, J. (1985) · Journal of The Electrochemical Society · doi:10.1149/1.2113792 · Cited by 2,548 · cited 1×
“[89] Γ Only at the surface of the jelly roll x∗ = x ∈ [0, Lneg ] ∧ [Lneg + Lsep, Lneg + Lsep + Lpos] ** < 0 for cc,- and > 0 cc,+ 47”
BackgroundNoh, H.-J., Youn, S., Yoon, C. S., & Sun, Y.-K. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.01.063 · Cited by 2,302
High-performance lithium-ion anodes using a hierarchical bottom-up approach
Magasinski, A., Dixon, P., Hertzberg, B., Kvit, A., Ayala, J., & Yushin, G. (2010) · Nature Materials · doi:10.1038/nmat2725 · Cited by 2,044
The development and future of lithium ion batteries
Blomgren, G. E. (2017) · Journal of The Electrochemical Society · doi:10.1149/2.0251701jes · Cited by 1,940
Über die Reaktionsgeschwindigkeit bei der Inversion von Rohrzucker durch Säuren
Arrhenius, S. (1889) · Zeitschrift für Physikalische Chemie · doi:10.1515/zpch-1889-0416 · Cited by 1,577
Myung, S.-T., Maglia, F., Park, K.-J., Yoon, C. S., Lamp, P., Kim, S.-J., & Sun, Y.-K. (2017) · ACS Energy Letters · doi:10.1021/acsenergylett.6b00594 · Cited by 1,382
Cited by
Lithium-ion batteries – Current state of the art and anticipated developments
Armand, M., Axmann, P., Bresser, D., Copley, M., Edström, K., Ekberg, C., Guyomard, D., Lestriez, B., Novák, P., Petranikova, M., et al. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.228708 · Cited by 888
Lithium-ion battery degradation: how to model it
O'Kane, S. E. J., Ai, W., Madabattula, G., Alonso-Alvarez, D., Timms, R., Sulzer, V., Edge, J. S., Wu, B., Offer, G. J., & Marinescu, M. (2022) · Physical Chemistry Chemical Physics · doi:10.1039/d2cp00417h · Cited by 400
Kim, N., Kim, Y., Sung, J., & Cho, J. (2023) · Nature Energy · doi:10.1038/s41560-023-01333-5 · Cited by 299
The Dilemma of C-Rate and Cycle Life for Lithium-Ion Batteries under Low Temperature Fast Charging
Gao, Z., Xie, H., Yang, X., Niu, W., Li, S., & Chen, S. (2022) · Batteries · doi:10.3390/batteries8110234 · Cited by 70
Kunz, A., Kirst, C., Durdel, A., Singer, J. P., & Jossen, A. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.235732 · Cited by 6
Self-citation
Metadata
- Authors
- Sturm, J., Rheinfeld, A., Zilberman, I., Spingler, F. B., Kosch, S., Frie, F., & Jossen, A.
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 412
- Pages
- 204-223
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2902687257
- Cited by
- 300
- References
- 74
- FWCI
- 9.46
- Type
- journal article
- Language
- en
- Open access
- green
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- Sturm, J., Rheinfeld, A., Zilberman, I., Spingler, F. B., Kosch, S., Frie, F., & Jossen, A. (2019). Modeling and simulation of inhomogeneities in a 18650 nickel-rich, silicon-graphite lithium-ion cell during fast charging. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2018.11.043
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