Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects
Source abstract
Abstract
Battery ageing is an important issue in e-mobility applications. The performance degradation of lithium-ion batteries has a strong influence on electric vehicles’ range and cost. Modelling capacity fade of lithium-ion batteries is not simple: many ageing mechanisms can exist and interact. Because calendar and cycling ageings are not additive, a major challenge is to model battery ageing in applications where the combination of cycling and rest periods are variable as, for example, in the electric vehicle application. In this work, an original approach to capacity fade modelling based on the formulation of reaction rate of a two-step reaction is proposed. A simple but effective model is obtained: based on only two differential equations and seven parameters, it can reproduce the capacity evolution of lithium-ion cells subjected to cycling profiles similar to those found in electric vehicle applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Battery Technologies Research · Advancements in Battery Materials · Advanced Battery Materials and Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
AME-Eco7, Univ Gustave Eiffel, IFSTTAR, Univ Lyon, 69500 Bron, France
ERC GEST (IFSTTAR/Ampère Joint Research Team for Energy Management and Storage for Transport), 69500 Bron, France
Univ Lyon, Université Claude Bernard Lyon 1, École Centrale de Lyon, INSA Lyon, CNRS, Ampère, F-69100 Villeurbanne, France
References (26)
Show source-provided references
1. Ageing mechanisms in lithium-ion batteries10.1016/j.jpowsour.2005.01.006 ↗
2. Lithium Ion Battery Anode Aging Mechanisms10.3390/ma6041310 ↗
3. Calendar and cycling ageing combination of batteries in electric vehicles
4. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications10.1016/j.jpowsour.2013.05.040 ↗
5. A review on the key issues of the lithium ion battery degradation among the whole life cycle10.1016/j.etran.2019.100005 ↗
6. A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries10.1016/j.jpowsour.2014.02.012 ↗
7. Combined cycling and calendar capacity fade modeling of a Nickel-Manganese-Cobalt Oxide Cell with real-life profile validation10.1016/j.apenergy.2017.05.018 ↗
8. Aging mechanisms under different state-of-charge ranges and the multi-indicators system of state-of-health for lithium-ion battery with Li(NiMnCo)O2 cathode10.1016/j.jpowsour.2018.07.018 ↗
9. Postmortem analysis of calendar-aged graphite/LiFePO4 cells10.1016/j.jpowsour.2013.01.147 ↗
10. Delaille, A., Grolleau, S., Duclaud, F., Bernard, J., Revel, R., Pelissier, S., Redondo-Iglesias, E., Vinassa, J.M., Eddahech, A., and Forgez, C. (2013). SIMCAL Project: Calendar Aging Results Obtained On a Panel of 6 Commercial Li-Ion Cells, The Electrochemical Society. Number 14.10.1149/MA2013-02/14/1191 ↗
11. Advanced model for solid electrolyte interphase electrodes in liquid and polymer electrolytes10.1149/1.1837858 ↗
12. Degradation Mechanisms of C6/LiFePO4 Batteries: Experimental Analyses of Calendar Aging10.1016/j.electacta.2015.12.161 ↗
13. Low-temperature charging of lithium-ion cells part I: Electrochemical modeling and experimental investigation of degradation behavior10.1016/j.jpowsour.2013.12.022 ↗
14. Physical characterization of the charging process of a Li-ion battery and prediction of Li plating by electrochemical modelling10.1016/j.jpowsour.2013.06.130 ↗
15. Comparison of different approaches for lifetime prediction of electrochemical systems—Using lead-acid batteries as example10.1016/j.jpowsour.2007.08.057 ↗
16. Remaining useful life prediction of lithium batteries in calendar ageing for automotive applications10.1016/j.microrel.2012.06.085 ↗
17. Grolleau, S., Delaille, A., and Gualous, H. (2013, January 17–20). Predicting lithium-ion battery degradation for efficient design and management. Proceedings of the Electric Vehicle Symposium and Exhibition (EVS27), Barcelona, Spain.10.1109/EVS.2013.6914799 ↗
18. Calendar aging of commercial graphite/LiFePO4 cell – Predicting capacity fade under time dependent storage conditions10.1016/j.jpowsour.2013.11.098 ↗
19. Cycle-life model for graphite-LiFePO4 cells10.1016/j.jpowsour.2010.11.134 ↗
20. The optimization of a hybrid energy storage system at subzero temperatures: Energy management strategy design and battery heating requirement analysis10.1016/j.apenergy.2015.08.120 ↗
21. Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime10.1016/j.apenergy.2016.03.119 ↗
22. (2016, October 01). NIST/SEMATECH E-Handbook of Statistical Methods, Available online: http://www.itl.nist.gov/div898/handbook/index.htm.
23. Eyring acceleration model for predicting calendar ageing of lithium-ion batteries10.1016/j.est.2017.06.009 ↗
24. Efficiency Degradation Model of Lithium-ion Batteries for Electric Vehicles10.1109/TIA.2018.2877166 ↗
25. Redondo-Iglesias, E., Venet, P., and Pelissier, S. (April, January 31). Influence of the non-conservation of SoC value during calendar ageing tests on modelling the capacity loss of batteries. Proceedings of the 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER), Monte Carlo, Monaco.10.1109/EVER.2015.7112987 ↗
26. Mechanism of self-discharge in graphite–lithium anode10.1016/S0013-4686(01)00827-1 ↗