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Development and Verification of a Diagnostic Technology for Waste Battery Deterioration Factors

  • Sunghun Jung
  • , Joon Kyo Seo
  • , Il Chan Jang
  • , Jihun Kim
  • , Jae Hyun Shim
  • , Jung Je Woo*
  • *Corresponding author for this work
  • Chosun University
  • Korea Institute of Energy Research
  • Dongshin University

Research output: Contribution to journalJournal articlepeer-review

Abstract

We defined four major deterioration factors (electrolyte loss (EL), lithium loss (LL), lithium precipitation (LP), and compound deterioration (CD)). Then, we derived eleven key performance indicators (KPIs) for comparative analysis. After that, we fabricated three deteriorated cells for each of three deterioration factors (EL, LL, and LP) and one cell with CD (for verification) with four individual (dis)charging experiment manuals. The two major contributions of this study are the performance of 1) trend analysis to determine a suitable diagnostic metric by inspecting the eleven KPIs and 2) comparison analysis of (Formula presented.) and (Formula presented.) to verify the effectiveness of utilizing (Formula presented.) as a real-time deterioration diagnostic factor using a concept of model-in-the-loop simulation. The results show that 1) (Formula presented.) has the most conspicuous trendline tendency among the eleven comparison targets for all four major deterioration factors, and 2) the angle difference between the two trends of (Formula presented.) and (Formula presented.) lies within a minimum of 9° and a maximum of 43° (with a (Formula presented.) sscale on the x-axis and a (Formula presented.) scale on the y-axis for a clear trend line analysis). From this, we can conclude that the trendline-based real-time deterioration analysis employing (Formula presented.) may be practically applicable to a limited extent.

Original languageEnglish
Article numbere202300438
JournalChemPhysChem
Volume24
Issue number21
DOIs
StatePublished - 2023.11.2

Keywords

  • compound deterioration
  • electrolyte loss
  • fifth-degree polynomial
  • lithium Loss
  • lithium Precipitation

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