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万福, 孙宏程, 冉童沁, 孔维平, 龙英凯, 陈伟根. 锂离子电池热失控气体协同降噪空芯光纤增强拉曼光谱检测技术[J]. 高电压技术, 2024, 50(8): 3440-3447. DOI: 10.13336/j.1003-6520.hve.20240434
引用本文: 万福, 孙宏程, 冉童沁, 孔维平, 龙英凯, 陈伟根. 锂离子电池热失控气体协同降噪空芯光纤增强拉曼光谱检测技术[J]. 高电压技术, 2024, 50(8): 3440-3447. DOI: 10.13336/j.1003-6520.hve.20240434
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WAN Fu, SUN Hongcheng, RAN Tongqin, KONG Weiping, LONG Yingkai, CHEN Weigen. Hollow-core Fiber Enhanced Raman Spectroscopy Detection Technique with Synergistic Noise Reduction for Thermal Runaway Gases of Lithium-ion Battery[J]. High Voltage Engineering, 2024, 50(8): 3440-3447. DOI: 10.13336/j.1003-6520.hve.20240434
Citation: WAN Fu, SUN Hongcheng, RAN Tongqin, KONG Weiping, LONG Yingkai, CHEN Weigen. Hollow-core Fiber Enhanced Raman Spectroscopy Detection Technique with Synergistic Noise Reduction for Thermal Runaway Gases of Lithium-ion Battery[J]. High Voltage Engineering, 2024, 50(8): 3440-3447. DOI: 10.13336/j.1003-6520.hve.20240434
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锂离子电池热失控气体协同降噪空芯光纤增强拉曼光谱检测技术

Hollow-core Fiber Enhanced Raman Spectroscopy Detection Technique with Synergistic Noise Reduction for Thermal Runaway Gases of Lithium-ion Battery

    摘要
  • 摘要: 准确检测热失控气体是保障锂离子电池安全可靠运行的关键。针对热失控气体常用检测方法易老化、交叉干扰和拉曼光谱灵敏度偏低等问题，该文提出锂离子电池热失控气体协同降噪空芯光纤增强拉曼光谱检测方法。基于低噪声阵列式相机(charge coupled device，CCD)和小孔协同降噪，使信噪比提升2.2倍，H2、CO2、C2H2、CO、CH4、C2H6、C2H4体积分数检测下限分别达到3.71×10–5、1.98×10–5、6.2×10–6、9.2×10–6、2.6×10–6、9.1×10–6、4.1×10–6。实现了18650电池H2、CO2、C2H2、CO、CH4、C2H6、C2H4共7种热失控气体原位拉曼光谱动态分析，并在最终热失控气体产物中检测到H2、CO2、C2H2、CO、CH4、C2H6、C2H4、C3H6、HF共9种热失控气体组分。结果表明，空芯光纤拉曼光谱检测技术可为锂离子电池热失控气体分析提供支撑。

     

    Abstract: Accurate detection of thermal runaway gas is the key to ensure the safe and reliable operation of lithium-ion batteries. Aiming at the problems of easy aging, cross-interference and low Raman spectroscopy sensitivity of common methods for thermal runaway gas detection, this paper proposes a thermal runaway gas detection method for lithium-ion batteries based on hollow-core fiber enhanced Raman spectroscopy with synergistic noise reduction. Based on charge coupled device and pinhole synergistic noise reduction, the signal-to-noise ratio is increased by 2.2 times. The detection limits of H2, CO2, C2H2, CO, CH4, C2H6 and C2H4 are 3.71×10–5, 1.98×10–5, 6.2×10–6, 9.2×10–6, 2.6×10–6, 9.1×10–6 and 4.1×10–6, respectively. Based on the Raman spectroscopy, the dynamic analysis of 7 thermal runaway fault gases (namely, H2, CO2, C2H2, CO, CH4, C2H6 and C2H4) of 18650 battery is completed. Finally, 9 thermal runaway gas components in total are detected, namely H2, CO2, C2H2, CO, CH4, C2H6, C2H4, C3H6 and HF. The results show that the hollow-core fiber enhanced Raman spectroscopy technology can provide important supports for thermal runaway gas analysis of lithium-ion batteries.

     

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