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Updated: Feb 21, 2026

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
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A degradation-based sorting method for lithium-ion battery reuse.

Hao Chen1,2, Julia Shen3

  • 1School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, P.R. China.

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|October 13, 2017
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Summary
This summary is machine-generated.

This study introduces a new X-ray scanning method to sort used 18650 Lithium-ion batteries for reuse. The efficient real-time sorting accurately identifies battery cells with remaining capacity for recycling applications.

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Environmental Science

Background:

  • Millions rely on portable energy from batteries, making battery recycling crucial.
  • Effective sorting of used batteries is essential for sustainable energy management and resource recovery.

Purpose of the Study:

  • To develop a novel, real-time method for sorting 18650 Lithium-ion batteries.
  • To assess the feasibility of reusing battery cells based on their remaining capacity.

Main Methods:

  • A new degradation-based sorting method using X-ray radiographic scanning.
  • Digital image contrast computation for analyzing battery cell degradation.
  • Comparison with traditional internal resistance and capacity tests.

Main Results:

  • The developed method achieved a sorting accuracy of approximately 79% for test cells.
  • The algorithm's execution time is around 200 milliseconds, enabling real-time processing.
  • Demonstrated potential for identifying usable capacity in discarded cells.

Conclusions:

  • The novel X-ray scanning method offers a viable real-time solution for sorting 18650 Lithium-ion batteries.
  • This approach facilitates the reuse of partially depleted battery cells, promoting a circular economy.
  • Significant advancements in battery recycling efficiency and sustainability are achievable.