journal article·2018Open access

Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries

M. Schimpe, M. E. von Kuepach, M. Naumann, H. C. Hesse, K. Smith, A. Jossen

Abstract

For reliable lifetime predictions of lithium-ion batteries, models for cell degradation are required. A comprehensive semi-empirical model based on a reduced set of internal cell parameters and physically justified degradation functions for the capacity loss is developed and presented for a commercial lithium iron phosphate/graphite cell. One calendar and several cycle aging effects are modeled separately. Emphasis is placed on the varying degradation at different temperatures. Degradation mechanisms for cycle aging at high and low temperatures as well as the increased cycling degradation at high state of charge are calculated separately. For parameterization, a lifetime test study is conducted including storage and cycle tests. Additionally, the model is validated through a dynamic current profile based on real-world application in a stationary energy storage system revealing the accuracy. Tests for validation are continued for up to 114 days after the longest parametrization tests. The model error for the cell capacity loss in the application-based tests is at the end of testing below 1% of the original cell capacity and the maximum relative model error is below 21%.
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Research context

OpenAlex topics: Advanced Battery Technologies Research · Advancements in Battery Materials · Advanced Battery Materials and Technologies

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References (30)

Show source-provided references
1. Munsell M. , Greentech Media (07.03.2017).
2. 10.1016/j.est.2015.11.01110.1016/j.est.2015.11.011 ↗
3. 10.1016/j.jpowsour.2016.12.09910.1016/j.jpowsour.2016.12.099 ↗
4. 10.1149/2.049208jes10.1149/2.049208jes ↗
5. 10.1016/j.jpowsour.2014.08.05110.1016/j.jpowsour.2014.08.051 ↗
6. 10.1016/j.jpowsour.2013.11.09810.1016/j.jpowsour.2013.11.098 ↗
7. 10.1016/j.jpowsour.2014.10.15310.1016/j.jpowsour.2014.10.153 ↗
8. 10.1016/j.jpowsour.2010.11.13410.1016/j.jpowsour.2010.11.134 ↗
9. 10.1016/j.jpowsour.2014.02.01210.1016/j.jpowsour.2014.02.012 ↗
10. 10.1109/TIA.2015.240550010.1109/TIA.2015.2405500 ↗
11. 10.1016/j.apenergy.2015.10.11510.1016/j.apenergy.2015.10.115 ↗
12. 10.1016/j.jpowsour.2012.05.01210.1016/j.jpowsour.2012.05.012 ↗
13. 10.1016/j.jpowsour.2014.03.11210.1016/j.jpowsour.2014.03.112 ↗
14. 10.1016/j.egypro.2015.07.55510.1016/j.egypro.2015.07.555 ↗
15. 10.3390/batteries202001410.3390/batteries2020014 ↗
16. 10.3390/batteries203002910.3390/batteries2030029 ↗
17. Yasuda Masayuki , in OREBA 1.0 - International Conference on Olivines for Rechargeable Batteries, (2014).
18. Konan M.-k. , SONY US26650FTC1 Product Specification, (2010).
19. Beck H.-P. , Project Report ESPEN - Potentials of electrochemical storages in power grids in competition to further technologies and system solutions.
20. 10.1016/j.est.2015.05.00310.1016/j.est.2015.05.003 ↗
21. 10.1016/j.jpowsour.2013.09.14310.1016/j.jpowsour.2013.09.143 ↗
22. 10.1016/j.jpowsour.2005.01.00610.1016/j.jpowsour.2005.01.006 ↗
23. 10.1016/j.jpowsour.2013.05.04010.1016/j.jpowsour.2013.05.040 ↗
24. 10.1016/j.jpowsour.2005.03.17210.1016/j.jpowsour.2005.03.172 ↗
25. Smith K. Saxon A. Keyser M. Lundstrom B. Cao Z. Roc A. , in 2017 American Control Conference (ACC), p. 4062, IEEE (2017).10.23919/ACC.2017.7963578 ↗
26. Santhanagopalan S. Smith K. Neubauer J. Kim G.-H. Pesaran A. Keyser M. , Design and analysis of large lithium-ion battery systems, Artech House (2014).
27. 10.1149/2.0411609jes10.1149/2.0411609jes ↗
28. 10.1149/1.356700710.1149/1.3567007 ↗
29. 10.1016/j.jpowsour.2014.11.06510.1016/j.jpowsour.2014.11.065 ↗
30. 10.1016/j.jpowsour.2012.01.10610.1016/j.jpowsour.2012.01.106 ↗