4.8 Article

Correlative acoustic time-of-flight spectroscopy and X-ray imaging to investigate gas-induced delamination in lithium-ion pouch cells during thermal runaway

期刊

JOURNAL OF POWER SOURCES
卷 470, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jpowsour.2020.228039

关键词

Li-ion batteries; Battery safety; X-ray imaging; Acoustic ToF spectroscopy; Thermal runaway

资金

  1. EPSRC [EP/R020973/1, EP/R023581/1, EP/N032888/1, EP/N001583/1, EP/P009050/1, EP/M009394/1, EP/M014371/1]
  2. National Measurement System of the UK Department of Business, Energy and Industrial Strategy
  3. Royal Academy of Engineering [ICRF1718\1\34, CiET1718]
  4. Faraday Institution [EP/S003053/1, FIG001]
  5. STFC [ST/K00171X/1]
  6. U.S. Department of Energy (DOE) [DE-AC36-08GO28308]
  7. U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Vehicle Technologies Office
  8. EPSRC [EP/M009394/1, EP/R023581/1, EP/S003053/1, EP/P009050/1, EP/N032888/1, EP/M014371/1, EP/N001583/1, EP/R020973/1] Funding Source: UKRI
  9. STFC [ST/K00171X/1] Funding Source: UKRI

向作者/读者索取更多资源

It remains difficult to detect internal mechanical deformation and gas-induced degradation in lithium-ion batteries, especially outside specialized diagnostics laboratories. In this work, we demonstrate that electrochemical acoustic time-of-flight (EA-ToF) spectroscopy can be used as an insightful and field-deployable diagnostic/prognostic technique to sense the onset of failure. A 210 mAh commercial lithium-ion cell undergoing thermal abuse testing is probed with in situ and operando EA-ToF spectroscopy, together with simultaneous fractional thermal runaway calorimetry (FTRC) and synchrotron X-ray imaging. The combination of X-ray imaging and EA-ToF analysis provides new understanding into the through-plane mechanical deformation in lithium-ion batteries through direct visualisation and the acoustic ToF response. Internal structural changes, such as gas-induced delamination, are identified using EA-ToF spectroscopy due to variations in the attenuation and signal peak shifts. This is corroborated using X-ray imaging, demonstrating EA-ToF spectroscopy as a promising technique for detecting onset of battery failure.

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