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Unveiling chemomechanical degradation in aqueous batteries with online acoustic emission sensing

Espinoza Ramos, Inti ; Guo, Ziyin ; Clulow, Rebecca ; Su, Boyang ; Zhao, Qi ; Holm Gjørup, Frederik LU orcid ; Ahlberg Tidblad, Annika and Zhang, Leiting (2025) In Materials Today Energy 51.
Abstract

Online acoustic emission (AE) sensing is a promising nondestructive technique for battery health monitoring. Herein, we report on the ability of AE sensing to differentiate among different chemomechanical degradation events in a TiS2-based model aqueous chemistry. Short and high-frequency AE signals primarily stem from fracture-related degradation of TiS2, such as layer delamination, exfoliation, and cracking. Long and low-frequency signals originate from gas bubbles bursting when the cell is cycled outside the water stability window. The two processes demonstrate distinct AE features, allowing them to be semi-quantitatively distinguished from both time and frequency domains. Complementary physicochemical... (More)

Online acoustic emission (AE) sensing is a promising nondestructive technique for battery health monitoring. Herein, we report on the ability of AE sensing to differentiate among different chemomechanical degradation events in a TiS2-based model aqueous chemistry. Short and high-frequency AE signals primarily stem from fracture-related degradation of TiS2, such as layer delamination, exfoliation, and cracking. Long and low-frequency signals originate from gas bubbles bursting when the cell is cycled outside the water stability window. The two processes demonstrate distinct AE features, allowing them to be semi-quantitatively distinguished from both time and frequency domains. Complementary physicochemical characterizations have been conducted to correlate with the AE observation, including online electrochemical mass spectrometry, operando synchrotron X-ray diffraction, and ex situ scanning electron microscopy. Our work indicates that online AE sensing holds the promise to identify complex chemomechanical degradation processes in batteries with liquid and potentially solid electrolytes.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Acoustic emission sensing, Aqueous batteries, Battery diagnostics, Chemomechanical degradation, Signal processing
in
Materials Today Energy
volume
51
article number
101899
publisher
Elsevier
external identifiers
  • scopus:105003815389
ISSN
2468-6069
DOI
10.1016/j.mtener.2025.101899
language
English
LU publication?
yes
id
4b47d28d-6331-45b0-a386-d7a485e490b8
date added to LUP
2025-07-18 09:24:00
date last changed
2025-07-18 09:24:51
@article{4b47d28d-6331-45b0-a386-d7a485e490b8,
  abstract     = {{<p>Online acoustic emission (AE) sensing is a promising nondestructive technique for battery health monitoring. Herein, we report on the ability of AE sensing to differentiate among different chemomechanical degradation events in a TiS<sub>2</sub>-based model aqueous chemistry. Short and high-frequency AE signals primarily stem from fracture-related degradation of TiS<sub>2</sub>, such as layer delamination, exfoliation, and cracking. Long and low-frequency signals originate from gas bubbles bursting when the cell is cycled outside the water stability window. The two processes demonstrate distinct AE features, allowing them to be semi-quantitatively distinguished from both time and frequency domains. Complementary physicochemical characterizations have been conducted to correlate with the AE observation, including online electrochemical mass spectrometry, operando synchrotron X-ray diffraction, and ex situ scanning electron microscopy. Our work indicates that online AE sensing holds the promise to identify complex chemomechanical degradation processes in batteries with liquid and potentially solid electrolytes.</p>}},
  author       = {{Espinoza Ramos, Inti and Guo, Ziyin and Clulow, Rebecca and Su, Boyang and Zhao, Qi and Holm Gjørup, Frederik and Ahlberg Tidblad, Annika and Zhang, Leiting}},
  issn         = {{2468-6069}},
  keywords     = {{Acoustic emission sensing; Aqueous batteries; Battery diagnostics; Chemomechanical degradation; Signal processing}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Materials Today Energy}},
  title        = {{Unveiling chemomechanical degradation in aqueous batteries with online acoustic emission sensing}},
  url          = {{http://dx.doi.org/10.1016/j.mtener.2025.101899}},
  doi          = {{10.1016/j.mtener.2025.101899}},
  volume       = {{51}},
  year         = {{2025}},
}