Least Squares Galvanostatic Intermittent Titration Technique (LS-GITT) for Accurate Solid Phase Diffusivity Measurement
Source abstract
Abstract
Solid phase diffusivity D s is a key parameter in Lithium-Ion cell models because solid phase diffusion typically dominates the voltage transients. The Galvanostatic Intermittent Titration Technique (GITT) is easy to implement and universally accepted as the standard for diffusivity measurement, but the accuracy of GITT diffusivity measurement is unknown. This paper develops a Least Squares GITT (LS-GITT) that uses all of the voltage data from a GITT test to optimally tune the diffusivity in a reduced order solid phase diffusion model. The accuracies of the GITT and LS-GITT diffusivity measurements are evaluated using the RMS error between the model predicted and experimentally measured voltages. Based on experimental results from a NCM half cell, LS-GITT is more accurate than GITT, often by an order of magnitude. The GITT test overestimates D s because the underlying model neglects the effects of bulk capacity on the voltage transients. LS-GITT gives results accurate to 1 mV RMS from 15%–100% SOC where GITT provides the same level of accuracy over less than half that SOC range. Neither technique provides accurate D s measurements below 10% SOC.
Source: openalex_inverted_index · 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.
References (20)
Show source-provided references
1. 10.1149/1.177521810.1149/1.1775218 ↗
2. 10.1021/jp970191110.1021/jp9701911 ↗
3. 10.1149/1.206937210.1149/1.2069372 ↗
4. 10.1063/1.283148410.1063/1.2831484 ↗
5. 10.1149/1.213311210.1149/1.2133112 ↗
6. 10.1149/1.137789710.1149/1.1377897 ↗
7. 10.1021/jp911333310.1021/jp9113333 ↗
8. 10.1149/1.139155610.1149/1.1391556 ↗
9. 10.1016/S0378-7753(96)02556-610.1016/S0378-7753(96)02556-6 ↗
10. 10.1021/ac60230a01610.1021/ac60230a016 ↗
11. Vielstich W. , Cyclic voltammetry, Wiley Online Library, Hoboken, NJ (2010).10.1002/9780470974001.f203017m ↗
12. 10.1016/j.electacta.2009.11.09610.1016/j.electacta.2009.11.096 ↗
13. 10.1149/1.243132110.1149/1.2431321 ↗
14. Rahn C. Wang C. , Battery Systems Engineering, John Wiley & Sons, Hoboken, NJ (2013).10.1002/9781118517048 ↗
15. Ljung L. , System Identification: Theory for the User, Pearson Education, Upper Saddle River, NJ (1998).10.1007/978-1-4612-1768-8_11 ↗
16. 10.1016/j.jpowsour.2013.01.04110.1016/j.jpowsour.2013.01.041 ↗
17. Shi Y. Prasad G. K. Shen Z. Rahn C. D. , IEEE Am. Control Conf., 356 (2011).
18. 10.1149/1.352131410.1149/1.3521314 ↗
19. Prasad G. K. Rahn C. D. , Proc. ASME Conf., (2012).
20. Golub G. Van Loan C. , Matrix Computations, Johns Hopkins Studies in the Mathematical Sciences, Johns Hopkins University Press, Baltimore, MD (1996).