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

作　　者：万福 孙宏程 冉童沁 孔维平 龙英凯 陈伟根[1,2] WAN Fu;SUN Hongcheng;RAN Tongqin;KONG Weiping;LONG Yingkai;CHEN Weigen(State Key Laboratory of Power Transmission Equipment Technology,School of Electrical Engineering,Chongqing University,Chongqing 400044,China;National Innovation Center for Industry-Education Integration of Energy Storage Technology,School of Electrical Engineering,Chongqing University,Chongqing 400044,China;Electric Power Research Institute of State Grid Chongqing Electric Power Company,Chongqing 401123,China)

机构地区：[1]输变电装备技术全国重点实验室(重庆大学电气工程学院),重庆400044 [2]国家储能技术产教融合创新平台(重庆大学电气工程学院),重庆400044 [3]国网重庆市电力公司电力科学研究院,重庆401123

出　　处：《高电压技术》2024年第8期3440-3447,共8页High Voltage Engineering

基　　金：国家自然科学基金(62275035)。

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,H_(2)、CO_(2)、C_(2)H_(2)、CO、CH_(4)、C_(2)H_(6)、C_(2)H_(4)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H_(2)、CO_(2)、C_(2)H_(2)、CO、CH_(4)、C_(2)H_(6)、C_(2)H_(4)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H_(2)、CO_(2)、C_(2)H_(2)、CO、CH_(4)、C_(2)H_(6)、C_(2)H_(4)、C3H_(6)、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。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 H_(2), CO_(2), C_(2)H_(2), CO, CH_(4), C_(2)H_(6) and C_(2)H_(4) 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, H_(2), CO_(2), C_(2)H_(2), CO, CH_(4), C_(2)H_(6) and C_(2)H_(4)) of 18650 battery is completed. Finally, 9 thermal runaway gas components in total are detected, namely H_(2), CO_(2), C_(2)H_(2), CO, CH_(4), C_(2)H_(6), C_(2)H_(4), C3H_(6) 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.

关 键 词：空芯光纤 锂离子电池 拉曼光谱 热失控气体分析 原位检测 

分 类 号：TM912[电气工程—电力电子与电力传动]