The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems
Open accessAbstract
Degradation of Lithium-ion batteries is a complex process that is caused by a variety of mechanisms. For simplicity, ageing mechanisms are often grouped into three degradation modes (DMs): conductivity loss (CL), loss of active material (LAM) and loss of lithium inventory (LLI). State of Health (SoH) is typically the parameter used by the Battery Management System (BMS) to quantify battery degradation based on the decrease in capacity and the increase in resistance. However, the definition of SoH within a BMS does not currently include an indication of the underlying DMs causing the degradation. Previous studies have analysed the effects of the DMs using incremental capacity and differential voltage (IC-DV) and electrochemical impedance spectroscopy (EIS). The aim of this study is to compare IC-DV and EIS on the same data set to evaluate if both techniques provide similar insights into the causes of battery degradation. For an experimental case of parallelized cells aged differently, the effects due to LAM and LLI were found to be the most pertinent, outlining that both techniques are correlated. This approach can be further implemented within a BMS to quantify the causes of battery ageing which would support battery lifetime control strategies and future battery designs.
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Cites
Ageing mechanisms in lithium-ion batteries
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Degradation diagnostics for lithium ion cells
Birkl, C. R., Roberts, M. R., McTurk, E., Bruce, P. G., & Howey, D. A. (2017) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.12.011 · Cited by 1,945 · cited 2×
“Equivalent Circuit Model (AR-ECM) components with DMs; (c) DMs and ageing mechanisms in LIBs, adapted from [1,2,22]; (d) pseudo-OCV curve, (e) relationship of changes in IC and DV curves with the DMs.”
MethodResultA review on lithium-ion battery ageing mechanisms and estimations for automotive applications
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Synthesize battery degradation modes via a diagnostic and prognostic model
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Characterizing aging effects of lithium ion batteries by impedance spectroscopy
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Extending battery life: a low-cost practical diagnostic technique for lithium-ion batteries
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Cited by
Lithium Plating Mechanism, Detection, and Mitigation in Lithium-Ion Batteries
Lin, X., Khosravinia, K., Hu, X., Li, J., & Lu, W. (2021) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2021.100953 · Cited by 490
Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
Yang, S., Zhang, C., Jiang, J., Zhang, W., Zhang, L., & Wang, Y. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128015 · Cited by 435
Lithium-ion battery data and where to find it
dos Reis, G., Strange, C., Yadav, M., & Li, S. (2021) · Energy and AI · doi:10.1016/j.egyai.2021.100081 · Cited by 377
Liu, Y., Wang, L., Li, D., & Wang, K. (2023) · Protection and Control of Modern Power Systems · doi:10.1186/s41601-023-00314-w · Cited by 279
A Review of Lithium-Ion Battery State of Health Estimation and Prediction Methods
Yao, L., Xu, S., Tang, A., Zhou, F., Hou, J., Xiao, Y., & Fu, Z. (2021) · World Electric Vehicle Journal · doi:10.3390/wevj12030113 · Cited by 237
Metadata
- Authors
- Pastor-Fernández, C., Uddin, K., Chouchelamane, G. H., Widanage, W. D., & Marco, J.
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 360
- Pages
- 301-318
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2619257997
- Cited by
- 582
- References
- 10
- FWCI
- 18.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Pastor-Fernández, C., Uddin, K., Chouchelamane, G. H., Widanage, W. D., & Marco, J. (2017). A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2017.03.042
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