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High-throughput Li plating quantification for fast-charging battery design

Author

Listed:
  • Zachary M. Konz

    (University of California
    Energy Storage and Distributed Resources Division, Lawrence Berkeley National Laboratory)

  • Brendan M. Wirtz

    (University of California
    Stanford University)

  • Ankit Verma

    (Energy Conversion and Storage Systems Center, National Renewable Energy Laboratory)

  • Tzu-Yang Huang

    (University of California
    Energy Storage and Distributed Resources Division, Lawrence Berkeley National Laboratory)

  • Helen K. Bergstrom

    (University of California
    Energy Storage and Distributed Resources Division, Lawrence Berkeley National Laboratory)

  • Matthew J. Crafton

    (University of California
    Energy Storage and Distributed Resources Division, Lawrence Berkeley National Laboratory)

  • David E. Brown

    (University of California
    Energy Storage and Distributed Resources Division, Lawrence Berkeley National Laboratory)

  • Eric J. McShane

    (University of California
    Energy Storage and Distributed Resources Division, Lawrence Berkeley National Laboratory
    Stanford University)

  • Andrew M. Colclasure

    (Energy Conversion and Storage Systems Center, National Renewable Energy Laboratory)

  • Bryan D. McCloskey

    (University of California
    Energy Storage and Distributed Resources Division, Lawrence Berkeley National Laboratory)

Abstract

Fast charging of most commercial lithium-ion batteries is limited due to fear of lithium plating on the graphite anode, which is difficult to detect and poses considerable safety risk. Here we demonstrate the power of simple, accessible and high-throughput cycling techniques to quantify irreversible Li plating spanning data from over 200 cells. We first observe the effects of energy density, charge rate, temperature and state of charge on lithium plating, use the results to refine a mature physics-based electrochemical model and provide an interpretable empirical equation for predicting the plating onset state of charge. We then explore the reversibility of lithium plating and its connection to electrolyte design for preventing irreversible Li accumulation. Finally, we design a method to quantify in situ Li plating for commercially relevant graphite|LiNi0.5Mn0.3Co0.2O2 (NMC) cells and compare with results from the experimentally convenient Li|graphite configuration. The hypotheses and abundant data herein were generated primarily with equipment universal to the battery researcher, encouraging further development of innovative testing methods and data processing that enable rapid battery engineering.

Suggested Citation

  • Zachary M. Konz & Brendan M. Wirtz & Ankit Verma & Tzu-Yang Huang & Helen K. Bergstrom & Matthew J. Crafton & David E. Brown & Eric J. McShane & Andrew M. Colclasure & Bryan D. McCloskey, 2023. "High-throughput Li plating quantification for fast-charging battery design," Nature Energy, Nature, vol. 8(5), pages 450-461, May.
  • Handle: RePEc:nat:natene:v:8:y:2023:i:5:d:10.1038_s41560-023-01194-y
    DOI: 10.1038/s41560-023-01194-y
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