The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Advancements in OCV Measurement and Analysis for Lithium-Ion Batteries
Abstract
Incremental open-circuit voltage (OCV) curves and low-current charge/discharge voltage profiles of a lithium-ion (Li-ion) battery are compared and evaluated for optimizing measurement time and resolution. Since these curves are often used for further analysis, minimizing kinetic contributions is crucial for approximating battery OCV behavior. In this context, an incremental OCV measurement is characterized by state of charge (SOC) intervals and relaxation times. Various constant low C-rates, SOC intervals, and relaxation times are tested for approximating OCV behavior. Differential capacity and voltage analysis is used to check whether the main electrode features can be resolved satisfactorily. An interpolation method yields additional data points for the differential analysis of incremental OCV curves. It is shown that incremental OCV measurements are suitable for an approximation of battery OCV behavior, rather than low current-voltage profiles. Furthermore, extrapolation of voltage relaxation enables the estimation of fully relaxed OCV.
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Cites
Identify capacity fading mechanism in a commercial LiFePO4 cell
Dubarry, M., & Liaw, B. Y. (2009) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.05.036 · Cited by 675 · cited 1×
“, loss of cyclable lithium or loss of active material [20]–[22].”
BackgroundDubarry, M., Svoboda, V., Hwu, R., & Yann Liaw, B. (2006) · Electrochemical and Solid-State Letters · doi:10.1149/1.2221767 · Cited by 427
Cited by
Shrivastava, P., Soon, T. K., Idris, M. Y. I. B., & Mekhilef, S. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.06.040 · Cited by 704
Zheng, F., Xing, Y., Jiang, J., Sun, B., Kim, J., & Pecht, M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.09.010 · Cited by 574
State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks
Chaoui, H., & Ibe-Ekeocha, C. C. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2715333 · Cited by 555
A comparison of methodologies for the non-invasive characterisation of commercial Li-ion cells
Barai, A., Uddin, K., Dubarry, M., Somerville, L., McGordon, A., Jennings, P., & Bloom, I. (2019) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2019.01.001 · Cited by 319
Xiong, R., Yu, Q., Wang, L. Y., & Lin, C. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.136 · Cited by 293
Metadata
- Authors
- Petzl, M., & Danzer, M. A.
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 2013-09
- Volume
- 28
- Issue
- 3
- Pages
- 675-681
- ISSN
- 0885-8969 (ISSN-L)
- 1558-0059
- OpenAlex
- W2007223064
- Cited by
- 217
- References
- 2
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Petzl, M., & Danzer, M. A. (2013). Advancements in OCV Measurement and Analysis for Lithium-Ion Batteries. IEEE Transactions on Energy Conversion. https://doi.org/10.1109/tec.2013.2259490
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