The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
State-of-Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead-Acid and Lithium-Ion Batteries
Abstract
State-of-charge (SOC) determination is an increasingly important issue in battery technology. In addition to the immediate display of the remaining battery capacity to the user, precise knowledge of SOC exerts additional control over the charging/discharging process, which can be employed to increase battery life. This reduces the risk of overvoltage and gassing, which degrade the chemical composition of the electrolyte and plates. The proposed model in this paper determines the SOC by incorporating the changes occurring due to terminal voltage, current load, and internal resistance, which mitigate the disadvantages of using impedance only. Electromotive force (EMF) voltage is predicted while the battery is under load conditions; from the estimated EMF voltage, the SOC is then determined. The method divides the battery voltage curve into two regions: 1) the linear region for full to partial SOC and 2) the hyperbolic region from partial to low SOC. Algorithms are developed to correspond to the different characteristic changes occurring within each region. In the hyperbolic region, the rate of change in impedance and terminal voltage is greater than that in the linear region. The magnitude of current discharge causes varying rates of change to the terminal voltage and impedance. Experimental tests and results are presented to validate the new models.
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Cites
Methods for state-of-charge determination and their applications
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A mathematical model for lead-acid batteries
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A review of state-of-charge indication of batteries by means of a.c. impedance measurements
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Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena
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Cited by
Hannan, M. A., Lipu, M. S. H., Hussain, A., & Mohamed, A. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.001 · Cited by 2,005
Ng, K. S., Moo, C.-S., Chen, Y.-P., & Hsieh, Y.-C. (2009) · Applied Energy · doi:10.1016/j.apenergy.2008.11.021 · Cited by 1,636
Emadi, A., Lee, Y. J., & Rajashekara, K. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.922768 · Cited by 1,461
Waag, W., Fleischer, C., & Sauer, D. U. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.064 · Cited by 1,059
A lumped-parameter electro-thermal model for cylindrical batteries
Lin, X., Perez, H. E., Mohan, S., Siegel, J. B., Stefanopoulou, A. G., Ding, Y., & Castanier, M. P. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.01.097 · Cited by 677
Metadata
- Authors
- Coleman, M., Lee, C. K., Zhu, C., & Hurley, W. G.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2007-10
- Volume
- 54
- Issue
- 5
- Pages
- 2550-2557
- ISSN
- 0278-0046 (ISSN-L)
- OpenAlex
- W2158701335
- Cited by
- 473
- References
- 15
- FWCI
- 35.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Coleman, M., Lee, C. K., Zhu, C., & Hurley, W. G. (2007). State-of-Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead-Acid and Lithium-Ion Batteries. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2007.899926
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