首页|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

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

扫码查看
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.
Hollow-core Fiber Enhanced Raman Spectroscopy Detection Technique with Synergistic Noise Reduction for Thermal Runaway Gases of Lithium-ion Battery
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 lithi-um-ion batteries.

hollow-core fiberlithium-ion batteryRaman spectroscopythermal runaway gas analysisin-situ detection

万福、孙宏程、冉童沁、孔维平、龙英凯、陈伟根

展开 >

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

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

国网重庆市电力公司电力科学研究院,重庆 401123

空芯光纤 锂离子电池 拉曼光谱 热失控气体分析 原位检测

国家自然科学基金

62275035

2024

高电压技术
中国电力科学研究院 中国电机工程学会

高电压技术

CSTPCD北大核心
影响因子:2.32
ISSN:1003-6520
年,卷(期):2024.50(8)