The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Single-Particle Model for a Lithium-Ion Cell: Thermal Behavior
Open accessAbstract
The single-particle model presented by Santhanagopalan et al. [ J. Power Sources , 156 , 620 (2006)] is extended to include an energy balance. The temperature dependence of the solid phase diffusion coefficient of the lithium in the intercalation particles, the electrochemical reaction rate constants, and the open circuit potentials (OCPs) of the positive and negative electrodes are included in the model. The solution phase polarization is approximated using a nonlinear resistance, which is a function of current and temperature. The model is used to predict the temperature and voltage profiles in a lithium-ion cell during galvanostatic operations. The single-particle thermal model is validated by comparing the simulated voltage and temperature profiles to the results obtained using a distributed porous electrode model. The simulation results from the single-particle thermal model also show good agreement with experimental voltage data obtained from lithium-ion pouch cells under different discharge rates (C/33, C/2 and C) at different temperatures (15, 25, 35, and ).
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Citations
Cites
A 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
Simulation and Optimization of the Dual Lithium Ion Insertion Cell
Fuller, T. F., Doyle, M., & Newman, J. (1994) · Journal of The Electrochemical Society · doi:10.1149/1.2054684 · Cited by 2,057
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Predicting the state of charge and health of batteries using data-driven machine learning
Ng, M.-F., Zhao, J., Yan, Q., Conduit, G. J., & Seh, Z. W. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-0156-7 · Cited by 793
Li, J., Adewuyi, K., Lotfi, N., Landers, R. G., & Park, J. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.01.011 · Cited by 623
Electro-thermal modeling and experimental validation for lithium ion battery
Ye, Y., Shi, Y., Cai, N., Lee, J., & He, X. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.10.027 · Cited by 438
Laresgoiti, I., Käbitz, S., Ecker, M., & Sauer, D. U. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.09.033 · Cited by 377
Xiong, R., Li, L., Li, Z., Yu, Q., & Mu, H. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.03.053 · Cited by 326
Metadata
- Authors
- Guo, M., Sikha, G., & White, R. E.
- Venue
- Journal of The Electrochemical Society
- Publisher
- The Electrochemical Society
- Published
- 2011
- Volume
- 158
- Issue
- 2
- Pages
- A122
- ISSN
- 0013-4651 (ISSN-L)
- OpenAlex
- W2109385534
- Cited by
- 567
- References
- 2
- FWCI
- 25.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Guo, M., Sikha, G., & White, R. E. (2011). Single-Particle Model for a Lithium-Ion Cell: Thermal Behavior. Journal of The Electrochemical Society. https://doi.org/10.1149/1.3521314
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
