Hydrogen Sensor for LIB Thermal Runaway Based on Ag-Bi-Modified Co<sub>3</sub>O<sub>4</sub> Nanosheets: Experimental and DFT Calculation

Hydrogen (H2) is a typical gas generated by the thermal runaway (TR) fault of lithium-ion batteries (LIBs) and a typical gas for TR fault diagnosis. Fast detection and high sensitivity of hydrogen sensors have practical significance. In this article, the hydrothermal method was used to prepare Co3O4 nanosheets, and Ag- and Bi-modified Co3O4 composite was also successfully prepared. X-ray diffraction (XRD), scanning electron microscopy (SEM), TEM, and X-ray photoelectron spectroscopy (XPS) were used to characterize and analyze the crystalline phase structure, micromorphology, and physical equality properties of the material. Then the gas sensing properties of AgBi/Co3O4 composite on H2 were investigated. The experimental results showed that the optimum operating temperature of the AgBi/Co3O4 sensor for H2 is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$160~^{\circ }$ </tex-math></inline-formula>C. At this temperature, the AgBi/Co3O4 sensor has the best hydrogen sensing performance, with a response value of 2.6–400 ppm H2 and a response recovery time of 19/13 s, in addition, it has good stability and selectivity. Through first-principles calculation, the sensing mechanism of AgBi/Co3O4 was further explored. The results showed that the enhancement of AgBi/Co3O4 hydrogen sensing performance was the result of the synergistic catalytic action of Ag and Bi bimetals.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-03-14
DOI
https://doi.org/10.1109/jsen.2025.3547937
Citations
6
Primary Topic
Thermal and Kinetic Analysis
Type
article
Field-Weighted Citation Impact
3.11

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article

Hydrogen Sensor for LIB Thermal Runaway Based on Ag-Bi-Modified Co3O4 Nanosheets: Experimental and DFT Calculation

Xinyi Ji, Xingyan Shao, Peilin Jia, Dongzhi Zhang et al.
6 citations
IEEE Sensors Journal
Thermal and Kinetic Analysis
3.11
article

Hydrogen Sensor for LIB Thermal Runaway Based on Ag-Bi-Modified Co3O4 Nanosheets: Experimental and DFT Calculation

Xinyi Ji, Xingyan Shao, Peilin Jia, Dongzhi Zhang, Yong Zhang, Jieshuo Zhai, Gongao Jiao
article en
6 citations

Abstract

Hydrogen (H2) is a typical gas generated by the thermal runaway (TR) fault of lithium-ion batteries (LIBs) and a typical gas for TR fault diagnosis. Fast detection and high sensitivity of hydrogen sensors have practical significance. In this article, the hydrothermal method was used to prepare Co3O4 nanosheets, and Ag- and Bi-modified Co3O4 composite was also successfully prepared. X-ray diffraction (XRD), scanning electron microscopy (SEM), TEM, and X-ray photoelectron spectroscopy (XPS) were used to characterize and analyze the crystalline phase structure, micromorphology, and physical equality properties of the material. Then the gas sensing properties of AgBi/Co3O4 composite on H2 were investigated. The experimental results showed that the optimum operating temperature of the AgBi/Co3O4 sensor for H2 is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$160~^{\circ }$ </tex-math></inline-formula>C. At this temperature, the AgBi/Co3O4 sensor has the best hydrogen sensing performance, with a response value of 2.6–400 ppm H2 and a response recovery time of 19/13 s, in addition, it has good stability and selectivity. Through first-principles calculation, the sensing mechanism of AgBi/Co3O4 was further explored. The results showed that the enhancement of AgBi/Co3O4 hydrogen sensing performance was the result of the synergistic catalytic action of Ag and Bi bimetals.

IEEE Sensors JournalVol. 25(8)
China University of Petroleum, East China (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 9%
Thermal and Kinetic Analysis
3.11
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Hydrogen Sensor for LIB Thermal Runaway Based on Ag-Bi-Modified Co<sub>3</sub>O<sub>4</sub> Nanosheets: Experimental and DFT Calculation — Xinyi Ji, Xingyan Shao, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS