The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
A dynamic lithium-ion battery model considering the effects of temperature and capacity fading
Abstract
Battery models capture the characteristics of real-life batteries, and can be used to predict their behavior under various operating conditions. In this paper, a dynamic model of lithium-ion battery has been developed with MATLAB/Simulinkregin order to investigate the output characteristics of lithium-ion batteries. Dynamic simulations are carried out, including the observation of the changes in battery terminal output voltage under different charging/discharging, temperature and cycling conditions, and the simulation results are compared with the results obtained from several recent studies. The simulation studies are presented for manifesting that the model is effective and operational.
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Citations
Cites
Accurate electrical battery model capable of predicting runtime and I-V performance
Chen, M., & Rincon-Mora, G. A. (2006) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2006.874229 · Cited by 2,427
Dynamic lithium-ion battery model for system simulation
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Thermal analysis of lithium-ion batteries
Chen, S. C., Wan, C. C., & Wang, Y. Y. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.05.064 · Cited by 708
Simulation of capacity fade in lithium-ion batteries
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Thermal Analysis of Lithium‐Ion Batteries
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Mathematical modeling of the capacity fade of Li-ion cells
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Study of the charging process of a LiCoO2-based Li-ion battery
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An analytical model for predicting the remaining battery capacity of lithium-ion batteries
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Cited by
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
Barré, A., Deguilhem, B., Grolleau, S., Gérard, M., Suard, F., & Riu, D. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.05.040 · Cited by 1,758
Lithium-ion battery fast charging: A review
Tomaszewska, A., Chu, Z., Feng, X., O'Kane, S., Liu, X., Chen, J., Ji, C., Endler, E., Li, R., Liu, L., et al. (2019) · eTransportation · doi:10.1016/j.etran.2019.100011 · Cited by 1,592
Jaguemont, J., Boulon, L., & Dubé, Y. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.11.034 · Cited by 1,188
Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment
Xu, B., Oudalov, A., Ulbig, A., Andersson, G., & Kirschen, D. S. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2578950 · Cited by 1,162
Farmann, A., Waag, W., Marongiu, A., & Sauer, D. U. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.01.129 · Cited by 472
Metadata
- Authors
- Erdinc, O., Vural, B., & Uzunoglu, M.
- Venue
- 2009 International Conference on Clean Electrical Power
- Publisher
- IEEE
- Published
- 2009-06
- Pages
- 383-386
- OpenAlex
- W2150540693
- Cited by
- 285
- References
- 20
- FWCI
- 13.41
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Erdinc, O., Vural, B., & Uzunoglu, M. (2009). A dynamic lithium-ion battery model considering the effects of temperature and capacity fading. 2009 International Conference on Clean Electrical Power. https://doi.org/10.1109/iccep.2009.5212025
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
