Optimizing Areal Capacities through Understanding the Limitations of Lithium-Ion Electrodes
Source abstract
Abstract
Increasing the areal capacity or electrode thickness in lithium ion batteries is one possible means to increase pack level energy density while simultaneously lowering cost. The physics that limit use of high areal capacity as a function of battery power to energy ratio are poorly understood and thus most currently produced automotive lithium ion cells utilize modest loadings to ensure long life over the vehicle battery operation. Here we show electrolyte transport limits the utilization of the positive electrode at critical C-rates during discharge; whereas, a combination of electrolyte transport and polarization lead to lithium plating in the graphite electrode during charge. Experimental measurements are compared with theoretical predictions based on concentrated solution and porous electrode theories. An analytical expression is derived to provide design criteria for long lived operation based on the physical properties of the electrode and electrolyte. Finally, a guideline is proposed that graphite cells should avoid charge current densities near or above 4 mA/cm 2 unless additional precautions have been made to avoid deleterious side reaction.
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Research context
OpenAlex topics: Advancements in Battery Materials · Advanced Battery Technologies Research · Advanced Battery Materials and Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (33)
Show source-provided references
1. 10.1039/C5TA00361J10.1039/C5TA00361J ↗
2. Gallagher K. G. Nelson P. A. , Lithium-Ion Batteries: Advances and Applications, 97 (2013).10.1016/B978-0-444-59513-3.00006-6 ↗
3. 10.1002/ese3.4710.1002/ese3.47 ↗
4. Group BMW , unpublished work, Munich, Germany, (2014).
5. 10.1016/j.jpowsour.2003.12.01510.1016/j.jpowsour.2003.12.015 ↗
6. 10.1149/1.217919910.1149/1.2179199 ↗
7. 10.5012/bkcs.2013.34.1.7910.5012/bkcs.2013.34.1.79 ↗
8. 10.1016/j.jpowsour.2010.08.11710.1016/j.jpowsour.2010.08.117 ↗
9. 10.1016/j.jpowsour.2012.03.01710.1016/j.jpowsour.2012.03.017 ↗
10. 10.1016/j.electacta.2012.03.16110.1016/j.electacta.2012.03.161 ↗
11. 10.1021/jp512564f10.1021/jp512564f ↗
12. 10.1149/2.0401507jes10.1149/2.0401507jes ↗
13. 10.1149/1.139251210.1149/1.1392512 ↗
14. 10.1149/1.339386010.1149/1.3393860 ↗
15. 10.1149/1.354443910.1149/1.3544439 ↗
16. 10.1016/j.jpowsour.2014.07.10610.1016/j.jpowsour.2014.07.106 ↗
17. 10.1016/j.jpowsour.2013.06.13010.1016/j.jpowsour.2013.06.130 ↗
18. 10.1149/2.0621506jes10.1149/2.0621506jes ↗
19. 10.1016/j.jpowsour.2014.02.07710.1016/j.jpowsour.2014.02.077 ↗
20. 10.1149/1.242526910.1149/1.2425269 ↗
21. 10.1149/1.222159710.1149/1.2221597 ↗
22. Newman J. Thomas-Alyea K. E. , Electrochemical Systems; Wiley, (2012).
23. 10.1149/1.205468410.1149/1.2054684 ↗
24. 10.1149/1.192816910.1149/1.1928169 ↗
25. 10.1149/1.293921110.1149/1.2939211 ↗
26. 10.1149/2.015301jes10.1149/2.015301jes ↗
27. 10.1016/j.electacta.2005.09.01110.1016/j.electacta.2005.09.011 ↗
28. Günen E. , AC Impedance and DC Electrochemical Modeling of Li-ion Cells, Illinois Institute of Technology, (2003).
29. 10.1002/aenm.20130127810.1002/aenm.201301278 ↗
30. 10.1149/2.0111502jes10.1149/2.0111502jes ↗
31. 10.1016/j.jpowsour.2008.12.03210.1016/j.jpowsour.2008.12.032 ↗
32. 10.1016/j.jpowsour.2010.10.02010.1016/j.jpowsour.2010.10.020 ↗
33. Nelson P. Gallagher K. Bloom I. Dees D. , Modeling the Performance and Cost of Lithium-Ion Batteries for Electric Vehicles, Chemical Sciences and Engineering Division, Argonne National Laboratory, ANL-11/32, Argonne, IL USA, 2011.10.2172/1027714 ↗