Determination of the diffusion coefficient of an inserted species in a host electrode with EIS, PITT and GITT techniques
Applications | 2021 | BioLogicInstrumentation
The mobility of guest species inserted into intercalation electrodes governs the rate capability, cyclability and overall performance of electrochemical energy storage devices. Precise measurement of diffusion coefficients is vital for the design and optimization of Li-ion batteries and related systems.
This work compares three electrochemical techniques—Electrochemical Impedance Spectroscopy (EIS), Potentiostatic Intermittent Titration Technique (PITT) and Galvanostatic Intermittent Titration Technique (GITT)—for determination of diffusion coefficients under restricted linear diffusion conditions in thin film electrodes. Experimental validation employs a Tokin 1 F supercapacitor and a custom AC dummy cell simulating a two-electrode Li-ion cell.
EIS characterization uses a finite Warburg (M) element to model restricted linear diffusion, extracting diffusion resistance (Rd) and time constant (τd) via Nyquist plot fitting or the knee-frequency method. PITT applies small potential steps and analyses current decay in short-time (Cottrell) and long-time (exponential) regimes to derive τd. GITT imposes current pulses, measuring the voltage transient slope at long times to calculate τd and D. Experiments were conducted with BioLogic VMP3 and SP-300 potentiostats, a BCS series cycler, a Tokin 1 F/5.5 V supercapacitor and a three-RC AC dummy cell.
EIS yielded consistent τd ≈ 22 s for both the supercapacitor and dummy cell. PITT without IR compensation overestimated τd (≈ 41 s and 97 s); IR compensation improved values (≈ 27 s and 86 s) but remained above EIS. GITT gave τd ≈ 36 s and 110 s, while IR compensation reduced them to ≈ 26 s and 92 s. Only EIS reliably determined diffusion kinetics in systems with significant series resistance, interfacial capacitances and charge-transfer resistances. PITT/GITT deliver accurate results only for ideal single-electrode, reversible systems with negligible ohmic and kinetic limitations; compensation techniques partially mitigate errors in complex assemblies.
Integration of advanced numerical fitting routines for PITT/GITT under non-ideal conditions; development of high-frequency IR compensation methods; extension to solid-state and composite electrodes; coupling with in-situ/operando spectroscopy; application of machine-learning algorithms for automated parameter extraction and anomaly detection.
EIS with restricted diffusion modeling offers robust extraction of diffusion time constants and coefficients in real-world electrodes. PITT and GITT remain useful for ideal systems but require careful IR compensation and are limited by kinetic and ohmic contributions. Technique selection should match system complexity and desired accuracy.
1. Bard AJ, Faulkner LR. Electrochemical Methods: Fundamentals and Applications. Wiley; 1980.
2. Weppner W, Huggins RA. Determination of the kinetic parameters of mixed conductors and of simple and complex ion conductors by the galvanostatic intermittent titration technique. J Electrochem Soc. 1977;124(10):1569.
3. Wen C, Boukamp BC, Huggins RA, Weppner W. Diffusion coefficient measurement in thin film electrodes. J Electrochem Soc. 1979;126(12):2258.
4. BioLogic Application Note 56.
5. BioLogic Application Note 66.
6. BioLogic Application Note 61.
7. Diard JP, Le Gorrec B, Montella C. Handbook of Diffusion Impedances. BioLogic, 2015.
8. Zhang T, Fuchs B, Secchiaroli M, Wohlfahrt‐Mehrens M, Dsoke S. Electrochim Acta. 2016;218:163.
9. Brown S, Mellgren N, Vynnycky M, Lindbergh G. J Electrochem Soc. 2008;155(4):320.
10. Malifarge S, Delobel B, Delacourt C. J Electrochem Soc. 2017;164(11):3329.
11. Oldenbürger M, Bedürftig B, Gruhle A, et al. J Energy Storage. 2019;21:272.
12. Song S, Zhang X, Li C, Wang K, Sun X, Ma Y. J Power Sources. 2021;490:229332.
13. Zhang X, Zhang X, Sun X, et al. J Power Sources. 2021;488:229454.
14. BioLogic Application Note 64.
15. BioLogic Application Note 69/2.
16. Montella C. J Electroanal Chem. 2002;518(2):61.
17. Montella C. Electrochim Acta. 2006;51(15):3102.
18. Montella C. J Electroanal Chem. 2009;633(1):35.
19. Montella C. J Electroanal Chem. 2009;633(1):45.
20. Montella C, Michel R, Diard JP. J Electroanal Chem. 2007;608(1):37.
21. Markevich E, Levi M, Aurbach D. J Electroanal Chem. 2005;580:231.
22. Montella C, Diard JP. J Electroanal Chem. 2008;623(1):29.
23. BioLogic Application Note 27.
24. BioLogic Application Note 28.
25. BioLogic Application Note 29.
Electrochemistry
IndustriesEnergy & Chemicals , Materials Testing
ManufacturerBioLogic
Summary
Importance of the topic
The mobility of guest species inserted into intercalation electrodes governs the rate capability, cyclability and overall performance of electrochemical energy storage devices. Precise measurement of diffusion coefficients is vital for the design and optimization of Li-ion batteries and related systems.
Objectives and overview
This work compares three electrochemical techniques—Electrochemical Impedance Spectroscopy (EIS), Potentiostatic Intermittent Titration Technique (PITT) and Galvanostatic Intermittent Titration Technique (GITT)—for determination of diffusion coefficients under restricted linear diffusion conditions in thin film electrodes. Experimental validation employs a Tokin 1 F supercapacitor and a custom AC dummy cell simulating a two-electrode Li-ion cell.
Methodology and instrumentation
EIS characterization uses a finite Warburg (M) element to model restricted linear diffusion, extracting diffusion resistance (Rd) and time constant (τd) via Nyquist plot fitting or the knee-frequency method. PITT applies small potential steps and analyses current decay in short-time (Cottrell) and long-time (exponential) regimes to derive τd. GITT imposes current pulses, measuring the voltage transient slope at long times to calculate τd and D. Experiments were conducted with BioLogic VMP3 and SP-300 potentiostats, a BCS series cycler, a Tokin 1 F/5.5 V supercapacitor and a three-RC AC dummy cell.
Key results and discussion
EIS yielded consistent τd ≈ 22 s for both the supercapacitor and dummy cell. PITT without IR compensation overestimated τd (≈ 41 s and 97 s); IR compensation improved values (≈ 27 s and 86 s) but remained above EIS. GITT gave τd ≈ 36 s and 110 s, while IR compensation reduced them to ≈ 26 s and 92 s. Only EIS reliably determined diffusion kinetics in systems with significant series resistance, interfacial capacitances and charge-transfer resistances. PITT/GITT deliver accurate results only for ideal single-electrode, reversible systems with negligible ohmic and kinetic limitations; compensation techniques partially mitigate errors in complex assemblies.
Benefits and practical applications
- Rapid screening of electrode materials for diffusion kinetics.
- Support of battery performance modeling and design.
- Quality control in cell manufacturing.
- Characterization of supercapacitor and Li-ion cell prototypes.
Future trends and opportunities
Integration of advanced numerical fitting routines for PITT/GITT under non-ideal conditions; development of high-frequency IR compensation methods; extension to solid-state and composite electrodes; coupling with in-situ/operando spectroscopy; application of machine-learning algorithms for automated parameter extraction and anomaly detection.
Conclusion
EIS with restricted diffusion modeling offers robust extraction of diffusion time constants and coefficients in real-world electrodes. PITT and GITT remain useful for ideal systems but require careful IR compensation and are limited by kinetic and ohmic contributions. Technique selection should match system complexity and desired accuracy.
Instrumentation
- BioLogic VMP3 potentiostat (EIS, PITT, GITT)
- BioLogic SP-300 potentiostat (high-resolution IR compensation)
- BCS-805/810/815 battery cycler with AC dummy cell
- Tokin 1 F, 5.5 V supercapacitor
References
1. Bard AJ, Faulkner LR. Electrochemical Methods: Fundamentals and Applications. Wiley; 1980.
2. Weppner W, Huggins RA. Determination of the kinetic parameters of mixed conductors and of simple and complex ion conductors by the galvanostatic intermittent titration technique. J Electrochem Soc. 1977;124(10):1569.
3. Wen C, Boukamp BC, Huggins RA, Weppner W. Diffusion coefficient measurement in thin film electrodes. J Electrochem Soc. 1979;126(12):2258.
4. BioLogic Application Note 56.
5. BioLogic Application Note 66.
6. BioLogic Application Note 61.
7. Diard JP, Le Gorrec B, Montella C. Handbook of Diffusion Impedances. BioLogic, 2015.
8. Zhang T, Fuchs B, Secchiaroli M, Wohlfahrt‐Mehrens M, Dsoke S. Electrochim Acta. 2016;218:163.
9. Brown S, Mellgren N, Vynnycky M, Lindbergh G. J Electrochem Soc. 2008;155(4):320.
10. Malifarge S, Delobel B, Delacourt C. J Electrochem Soc. 2017;164(11):3329.
11. Oldenbürger M, Bedürftig B, Gruhle A, et al. J Energy Storage. 2019;21:272.
12. Song S, Zhang X, Li C, Wang K, Sun X, Ma Y. J Power Sources. 2021;490:229332.
13. Zhang X, Zhang X, Sun X, et al. J Power Sources. 2021;488:229454.
14. BioLogic Application Note 64.
15. BioLogic Application Note 69/2.
16. Montella C. J Electroanal Chem. 2002;518(2):61.
17. Montella C. Electrochim Acta. 2006;51(15):3102.
18. Montella C. J Electroanal Chem. 2009;633(1):35.
19. Montella C. J Electroanal Chem. 2009;633(1):45.
20. Montella C, Michel R, Diard JP. J Electroanal Chem. 2007;608(1):37.
21. Markevich E, Levi M, Aurbach D. J Electroanal Chem. 2005;580:231.
22. Montella C, Diard JP. J Electroanal Chem. 2008;623(1):29.
23. BioLogic Application Note 27.
24. BioLogic Application Note 28.
25. BioLogic Application Note 29.
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