Design-of-Experiment and Statistical Modeling of a Large Scale Aging Experiment for Two Popular Lithium Ion Cell Chemistries
Source abstract
Abstract
This paper demonstrates the method of design-of-experiment for an aging test of two popular lithium ion cell chemistries used in consumer and automotive industry. A design of experiment helps to produce statistically repeatable data of the aging behavior of cells, unlike small scale experiments with single cells and/or single influences. After setting up the experiment, measurements for over 150 cells of the two popular cathode chemistries iron-phosphate and nickel-cobalt-aluminum against a graphite anode are presented. These results are then subjected to statistical modeling in order to distill the information gain about the cell aging more easily. The models received reflect the complex behavior of the many electrochemical cell aging processes rather well. So it can be concluded that pure influence factors and their interactions show significant influence on the cell aging behavior, but not all possible interactions are needed in future testing for cell aging of new chemistries.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Battery Technologies Research · Advancements in Battery Materials · Reliability and Maintenance Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (40)
Show source-provided references
1. Fischnaller · VDI-Berichte · 2011 · 2132 · 103
2. Kawakami N. Iijima Y. Sakanaka Y. Fukuhara M. Ogawa K. Bando M. Matsuda T. , Development and field experiences of stabilization system using 34 MW NAS batteries for a 51 MW wind farm. Industrial Electronics (ISIE), 2010 IEEE International Symposium on, 2371–2376 (2010).10.1109/ISIE.2010.5637487 ↗
3. 10.1016/S0262-4079(13)60224-910.1016/S0262-4079(13)60224-9 ↗
4. Wiedemann U. , Alterungsuntersuchungen an Nickelmetall-Hydrid-Hochleistungsakkumulatoren für Hybridfahrzeuge, Universität Ulm, (2007).
5. Herb F. , Alterungsmechanismen in Lithium-Ionen-Batterien und PEM-Brennstoffzellen und deren Einfluss auf die Eigenschaften von daraus bestehenden Hybrid-Systemen. PhD Thesis, Fakultät für Naturwissenschaften der Universität Ulm, (2010).
6. 10.1016/j.jpowsour.2009.10.01010.1016/j.jpowsour.2009.10.010 ↗
7. 10.1016/j.jpowsour.2008.12.12410.1016/j.jpowsour.2008.12.124 ↗
8. 10.1016/j.cplett.2009.12.03310.1016/j.cplett.2009.12.033 ↗
9. 10.1016/j.jpowsour.2005.01.00610.1016/j.jpowsour.2005.01.006 ↗
10. 10.1016/j.jpowsour.2007.11.03210.1016/j.jpowsour.2007.11.032 ↗
11. 10.1016/j.jpowsour.2003.09.03410.1016/j.jpowsour.2003.09.034 ↗
12. 10.1016/S0378-7753(03)00531-710.1016/S0378-7753(03)00531-7 ↗
13. 10.1016/j.jpowsour.2003.09.00810.1016/j.jpowsour.2003.09.008 ↗
14. Hartmann R. , An Aging Model for Lithium-Ion Cells. University of Akron (2008).
15. 10.1016/j.jpowsour.2006.10.04610.1016/j.jpowsour.2006.10.046 ↗
16. 10.1149/2.056206jes10.1149/2.056206jes ↗
17. 10.1016/j.jpowsour.2012.05.01210.1016/j.jpowsour.2012.05.012 ↗
18. Dudézert C. Franger P. Reynier Y. Burlet H. , Application of a mechanical methodology for lithium-ion battery life prediction, EVS 24, Stavanger, Norway, 1, 1-11 (2009).
19. 10.1149/1.361452910.1149/1.3614529 ↗
20. 10.1016/j.jpowsour.2012.02.06810.1016/j.jpowsour.2012.02.068 ↗
21. 10.1016/j.jpowsour.2010.07.02910.1016/j.jpowsour.2010.07.029 ↗
22. Linden D. Reddy T. , Handbook of Batteries, McGraw-Hill, 1454 (2002).
23. 10.1016/j.jpowsour.2009.05.03610.1016/j.jpowsour.2009.05.036 ↗
24. Santhanagopalan S. White R. E. , Quantifying Cell to Cell Variations in Lithium Ion Batteries, Submitted to the Journal of Electrochemistiry (2011).10.1155/2012/395838 ↗
25. 10.1016/S0378-7753(03)00729-810.1016/S0378-7753(03)00729-8 ↗
26. 10.1016/j.ijhydene.2008.10.06610.1016/j.ijhydene.2008.10.066 ↗
27. Haselgruber · AUSTRIAN JOURNAL OF STATISTICS · 2008 · 37 · 229
28. Montgomery D. , Design and Analysis of Experiments, John Wiley \& Sons, (2005).
29. Prochazka W. Cifrain , An Ageing Experiment for Two Established Lithium Ion Cell Chemistries Using Reference Electrode Equipped Cells (2012).
30. 10.1016/j.jpowsour.2005.08.05810.1016/j.jpowsour.2005.08.058 ↗
31. Janacek G. Swift L. Bell G. (Ed.), TIME SERIES Forecasting, Simulation, Applications, Ellis Horwood (1993).
32. 10.1149/1.277209210.1149/1.2772092 ↗
33. 10.1149/1.212909510.1149/1.2129095 ↗
34. RHelp, (19/11/2012) http://www.r-project.org.
35. 10.1109/TAC.1974.110070510.1109/TAC.1974.1100705 ↗
36. 10.1021/cm901452z10.1021/cm901452z ↗
37. 10.1149/1.352659710.1149/1.3526597 ↗
38. Srinivasan V. , LBNL OVT Merit Review, June 8th 2010 (visited 10/02/2013) http://www1.eere.energy.gov/vehiclesandfuels/pdfs/merit_review_2010/electrochemical_storage/es086_srinivasan_2010_p.pdf.
39. Beltran H. Swierczynski M. Aparicio N. Belenguer E. Teodorescu R. Rodriguez P. , Lithium ion batteries ageing analysis when used in a PV power plant Industrial Electronics (ISIE), IEEE International Symposium on, 1604–1609 (2012).10.1109/ISIE.2012.6237330 ↗
40. Pourmousavi S. Sharma R. Asghari B. , A framework for real-time power management of a grid-tied microgrid to extend battery lifetime and reduce cost of energy. Innovative Smart Grid Technologies (ISGT), IEEE PES, 1–8 (2012).10.1109/ISGT.2012.6175707 ↗