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Insight Generation from Information-Dense Formation Protocols

  • Helmholtz-Institute Ulm (HIU)
  • Humanoid Technologies Lab (H2T)
  • Technical University of Munich
  • Munich Institute of Integrated Materials
  • Munich Center for Machine Learning

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Accelerated formation protocols that utilize pulsed charging offer an unprecedented wealth of electrochemical data. Herein, methods are presented to extract diagnostic data relating to pseudodiffusion coefficients, internal resistance, and others that give live insight into solid electrolyte interphase (SEI) growth. Specifically, a purely mathematical method is used to track formation progression in near-real time and chart a path toward incorporation of adjustable pulse parameters for targeted SEI synthesis. The method and analysis are performed on 3 mAh cells but can also be applied to higher-capacity cells.

Original languageEnglish
Article numbere202500153
JournalBatteries and Supercaps
Volume9
Issue number2
DOIs
StatePublished - Feb 2026

Keywords

  • data analysis
  • formation
  • galvanostatic intermittent titration technique
  • hybrid pulse power characterization

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