Skip to content
DraconiticResearch
Search Sources API
186,125 studies31 sourcesUpdated 40 min ago
PreprintCC BYChemRxiv

GITT Evaluation with PyBaMM

  1. 1Tangram Battery sp. z o.o., Al. Jerozolimskie 424A, Pruszków, Poland, 05-800

Abstract

The accuracy of the galvanostatic intermittent titration technique (GITT) for determining solidstate lithium diffusion coefficients was systematically evaluated using synthetic data generated with Doyle–Fuller–Newman model in PyBaMM. GITT-derived diffusion coefficients were compared with the known values used to generate the data across a broad range of possible material properties. GITT systematically underestimated the diffusion coefficient, with absolute errors increasing at higher diffusivities. For an optimized cell, reliable determination was generally limited to D ≤ 10 -14 m2/s, while a non-optimized cell provided much worse performance. These results demonstrate that GITT-derived diffusivities should be used with caution for quantitative battery-model parametrization. Nevertheless, GITT remains useful for comparative materials evaluation when cell design and analysis conditions are kept consistent.

Related

  1. AMIDR Validation with PyBaMM
    Marcin Kwidziński
    ChemRxivPreprintCC BYFull textGeneral chemistryChemRxiv
  2. Synthesis and Evaluation of 5-Heteroarylidene-2-thioxo-4-thiazolidinones as PIM1 Kinase Inhibitors
    Molecules (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral chemistryEurope PMC
  3. Evaluation of airborne PFAS concentrations in PFAS-using industrial facilities
    Myoungho Lee, Seunghon Ham, Chungsik Yoon
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textEnvironmental chemistryCrossref
  4. Evaluation and Health Risk Analysis of Residual Pesticides in Some Cereal Crops in Mangu Market, Plateau State, Nigeria
    BAHAGO BAMSHAK
    ChemRxivPreprintCC BYFull textGeneral chemistryChemRxiv
  5. Chemical Synthesis and Immunological Evaluation of Archaeal Rare Sugar L-TalNAcA and Its Derivatives
    Shiori Oka, Norihito Arichi, Hiroaki Ohno +1
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
BibTeX
@misc{kwidzinski2026gitt,
  title = {{GITT Evaluation with PyBaMM}},
  author = {Marcin Kwidziński},
  howpublished = {ChemRxiv},
  year = {2026},
  month = sep,
  doi = {10.26434/chemrxiv.15009346/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15009346/v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - GITT Evaluation with PyBaMM
AU  - Marcin Kwidziński
PY  - 2026
DA  - 2026/09/23
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15009346/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15009346/v1
AB  - The accuracy of the galvanostatic intermittent titration technique (GITT) for determining solidstate lithium diffusion coefficients was systematically evaluated using synthetic data generated with Doyle–Fuller–Newman model in PyBaMM. GITT-derived diffusion coefficients were compared with the known values used to generate the data across a broad range of possible material properties. GITT systematically underestimated the diffusion coefficient, with absolute errors increasing at higher diffusivities. For an optimized cell, reliable determination was generally limited to D ≤ 10 -14 m2/s, while a non-optimized cell provided much worse performance. These results demonstrate that GITT-derived diffusivities should be used with caution for quantitative battery-model parametrization. Nevertheless, GITT remains useful for comparative materials evaluation when cell design and analysis conditions are kept consistent.
ER  -