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Galvanostatic Intermittent Titration Technique (GITT)

Applications | 2018 | MetrohmInstrumentation
Electrochemistry
Industries
Energy & Chemicals
Manufacturer
Metrohm

Summary

Importance of the Topic


This summary examines the galvanostatic intermittent titration technique (GITT), a key electrochemical method for probing both kinetic and thermodynamic properties of lithium‐ion battery electrodes. By measuring the chemical diffusion coefficient of active materials, GITT supports optimization of charge/discharge performance and informs material development for high‐energy and high‐power applications.

Objectives and Overview


The main goals of the original study were to describe a complete GITT workflow using commercial battery cells, to demonstrate how to extract diffusion coefficients and open‐circuit potentials, and to highlight the practical implementation of GITT on a lab‐scale potentiostat/galvanostat system.

Methodology


GITT applies repeated current pulses (charge or discharge) of defined duration, each followed by a relaxation period with zero current. During each pulse, the cell potential response comprises an immediate iR drop and a slower variation tied to concentration gradients. During relaxation, diffusion drives the potential back toward the open‐circuit value. By plotting potential versus the square root of pulse time and fitting linear regions, one obtains slopes for both the titration curve (ΔE/Δx) and the transient response (ΔE/Δ√t). These slopes, combined with known material constants (molar volume, electrode area, current, pulse duration), allow calculation of the chemical diffusion coefficient using established GITT equations.

Instrumentation Used


  • Autolab PGSTAT302N with FRA32M module (up to 30 V, 2 A, 1 MHz bandwidth)
  • Autolab PGSTAT204 potentiostat/galvanostat (20 V/400 mA or 10 A with BOOSTER10A)
  • Autolab DuoCoin Cell Holder (4‐point Kelvin contacts for coin cells)
  • NOVA software (procedure editor, real‐time data, linear regression tools)
  • Commercial 2.2 Ah, 3.75 V Li‐ion cell from Enix Energies

Key Results and Discussion


The study applied a C/10 current rate (±220 mA) in 10‐minute pulses, each followed by 10 minutes of rest, covering a charge from 3.62 V to 4.20 V and discharge down to 2.80 V. The full potential‐time profile revealed clear iR drops at pulse boundaries and linear potential transients versus √t. Analysis of the first two charge steps illustrated how ΔEt and ΔEs values were extracted. Limitations included the inability to separate contributions from positive and negative electrodes in a full‐cell format and missing material constants (molar volume, surface area) needed for absolute diffusion coefficient calculations.

Benefits and Practical Applications


GITT offers a robust, non‐destructive approach to determine diffusion coefficients and thermodynamic potentials of electrode materials. It informs battery design by linking material transport properties to cell performance, guides the selection of electrode formulations, and supports quality control in manufacturing.

Future Trends and Applications


Future implementations will likely emphasize half‐cell and three‐electrode configurations to isolate individual electrode behavior. Advances may include high‐throughput GITT protocols for rapid screening of new materials, integration with electrochemical modeling to predict performance under real‐world cycling, and in situ methods coupling GITT with structural characterization (e.g., X‐ray or neutron diffraction).

Conclusion


This application example demonstrated how Autolab instrumentation and NOVA software facilitate GITT measurements on lithium‐ion cells. By systematically applying current pulses and recording relaxation behavior, both diffusion coefficients and equilibrium potentials can be extracted, providing valuable insights for battery research and development.

References


  1. C.J. Wen, B.A. Boukamp, R.A. Huggins, J. Electrochem. Soc. 126(12) (1979) 2258.
  2. W. Weppner, R.A. Huggins, J. Electrochem. Soc. 124(10) (1977) 1569.
  3. Y. Zhu, C. Wang, J. Phys. Chem. 114(6) (2010) 2830.
  4. Z. Shen, L. Cao, C.D. Rahn, C.-Y. Wang, J. Electrochem. Soc. 160(10) (2013) A1842.

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