The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Fractional-Order Model-Based Incremental Capacity Analysis for Degradation State Recognition of Lithium-Ion Batteries
Abstract
State of health (SOH) estimation of lithium-ion batteries is a key but challengeable technique for the application of electric vehicles. Due to the ambiguous aging mechanisms and sensitivity to the applied conditions of lithium-ion batteries, the recognition of aging mechanisms and SOH monitoring of the battery might be difficult. A novel SOH estimation and aging mechanism identification method is presented in this paper. First, considering the dispersion effect, a fractional-order model is constructed, and the parameter identification approach is proposed, and a comparison between integer-order model and fractional-order model has been done from the prospect of predicting accuracy. Then, based on the identified open-circuit voltage, the battery aging mechanism can be analyzed by the means of an incremental capacity analysis method. Moreover, the normalized incremental capacity peak is used to estimate the remaining capacity. Finally, the robustness of the SOH estimation method is validated by batteries aged at different conditions based on the idea of cross validation, and the estimation error of the remaining capacity can be reduced within 3.1%.
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Cites
Methods for state-of-charge determination and their applications
Piller, S., Perrin, M., & Jossen, A. (2001) · Journal of Power Sources · doi:10.1016/s0378-7753(01)00560-2 · Cited by 1,162
Critical review of state of health estimation methods of Li-ion batteries for real applications
Berecibar, M., Gandiaga, I., Villarreal, I., Omar, N., Van Mierlo, J., & Van den Bossche, P. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.042 · Cited by 1,126 · cited 1×
“These methods cannot discriminate different aging mechanisms and computational burden should be considered when using the electrochemical model [34].”
MethodCritical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
Xiong, R., Cao, J., Yu, Q., He, H., & Sun, F. (2018) · IEEE Access · doi:10.1109/access.2017.2780258 · Cited by 1,004
Self-citationWaag, W., Käbitz, S., & Sauer, D. U. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.09.030 · Cited by 987 · cited 2×
“studied the dependence of the battery impedance on the previous history and current [17].”
Fractional-Order Nonlinear Systems: Modeling, Analysis and Simulation
Petráš, I. (2011) · Cited by 964
A review on prognostics and health monitoring of Li-ion battery
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“studied the influence of SOC and temperature on battery impedance [15], [16].”
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
Differential voltage analyses of high-power, lithium-ion cells
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Cited by
Wang, Y., Tian, J., Sun, Z., Wang, L., Xu, R., Li, M., & Chen, Z. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110015 · Cited by 1,377
Self-citationXiong, R., Li, L., & Tian, J. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.10.019 · Cited by 1,017
Self-citationHannan, M. A., Hoque, M. M., Hussain, A., Yusof, Y., & Ker, P. J. (2018) · IEEE Access · doi:10.1109/access.2018.2817655 · Cited by 988
Wang, S., Takyi-Aninakwa, P., Jin, S., Yu, C., Fernandez, C., & Stroe, D.-I. (2022) · Energy · doi:10.1016/j.energy.2022.124224 · Cited by 355
Xiong, R., Li, L., Li, Z., Yu, Q., & Mu, H. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.03.053 · Cited by 326
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Metadata
- Authors
- Tian, J., Xiong, R., & Yu, Q.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2019-02
- Volume
- 66
- Issue
- 2
- Pages
- 1576-1584
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W2786791342
- Cited by
- 267
- References
- 49
- FWCI
- 15.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tian, J., Xiong, R., & Yu, Q. (2019). Fractional-Order Model-Based Incremental Capacity Analysis for Degradation State Recognition of Lithium-Ion Batteries. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2018.2798606
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