锂离子电池热失控气体快速检测及危险性分析方法

张青松; 刘添添; 郝朝龙; 曲奕润; 张伟; 陈达

doi:10.13700/j.bh.1001-5965.2021.0668

锂离子电池热失控气体快速检测及危险性分析方法

doi: 10.13700/j.bh.1001-5965.2021.0668

中国民航大学民航热灾害防控与应急重点实验室，天津 300300

基金项目: 国家自然科学基金民航联合基金重点支持项目(U2033204)；中央高校基本科研业务费项目中国民航大学专项(3122023022)

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E-mail：nkzqsong@126.com

中图分类号: X934
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出版历程
- 收稿日期: 2021-11-05
- 录用日期: 2021-12-13
- 网络出版日期: 2022-03-03
- 整期出版日期: 2023-10-01

Rapid detection analysis method of thermal runaway gas composition and risk of lithium ion battery

Key Laboratory of Civil Aviation Thermal Hazards Prevention and Emergency Response， Civil Aviation University of China，Tianjin 300300，China

Funds: Key Program of the Joint Fund for Civil Aviation Research with National Natural Science Foundation of China (U2033204); Central University Basic Research Business Fee Project Special Project of Civil Aviation University of China (3122023022)

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Corresponding author: E-mail：nkzqsong@126.com

摘要

摘要:
为实现对锂离子电池热失控气体成分及危险性进行快速分析，提出了一种基于激光拉曼光谱气体检测技术结合经验公式的分析方法。利用自主设计搭建的锂离子电池气体检测平台，使用不同荷电状态（75%、100%）和不同正极材料（LCO、NCM）的18650型锂离子电池对热失控气体成分及爆炸危险性分析方法进行验证。结果表明：相同荷电状态（SOC）下，NCM电池比LCO电池在热失控后释放的可燃气体量更多，100%荷电状态的NCM电池在热失控后容器内部CO占比高达22.02%，随着荷电状态的增加，锂离子电池热失控生成的可燃气体量增加。不同实验工况下，锂离子电池热失控后的气体仍具有较高的爆炸风险。研究结果证明了激光拉曼光谱气体检测技术检测锂离子电池热失控气体的可行性，为热失控气体成分和爆炸危险性的快速检测及分析提供了理论依据和技术支撑。
- 锂离子电池 /
- 热失控 /
- 拉曼光谱 /
- 气体检测 /
- 爆炸极限
Abstract:
In order to quickly analyze the composition and risk of thermal runaway gas in lithium ion batteries, an analysis method based on laser Raman spectroscopy and the empirical formula is proposed. Using the independently designed gas detection platform of the lithium ion battery, the composition and explosion risk of runaway gas released by a 18650 lithium ion battery with different charge states (75%,100%) and different cathode materials (LCO,NCM) were studied. According to the experimental findings, the NCM battery releases more flammable gas following thermal runaway than the LCO battery under the same state of charge (SOC). After thermal runaway, the proportion of CO in the container of NCM battery with 100% SOC is as high as 22.02%. With the increase of SOC, the amount of combustible gas generated by the thermal runaway of lithium ion batteries increases. Under different experimental conditions, the gas after the thermal runaway of the lithium-ion battery still had a high explosion risk. The findings demonstrate the viability of using laser Raman spectroscopy to identify lithium-ion battery thermal runaway gas, and they offer a theoretical foundation and technical backing for the quick identification and evaluation of the composition of thermal runaway gas and explosion danger.
- lithium ion battery /
- thermal runaway /
- Raman spectroscopy /
- gas detection /
- explosion limit

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图 1 激光拉曼光谱气体检测技术原理示意图

Figure 1. Schematic diagram of laser Raman spectroscopy gas detection technology

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图 2 不同气体特征峰峰位

Figure 2. Characteristic peak positions of different gases

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图 3 拉曼信号与气体体积分数关系

Figure 3. Relationship between Raman signal and gas concentration

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图 4 实验装置示意图

Figure 4. Schematic diagram of experimental device

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图 5 不同实验工况下温度、电压、压力曲线

Figure 5. Temperature, voltage and pressure curves under different experimental conditions

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图 6 热失控气体爆炸下限

Figure 6. Lower explosion limit of thermal runaway gas

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表 1 实验电池参数

Table 1. Experimental battery parameters

正极材料	容量/(mA·h)	额定电压/V	截止电压/V	充电电压/V
LCO	2200	3.6	2.65	4.2
NCM	2600	3.635	2.5	4.2

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表 2 锂离子电池在不同实验条件下的实验数据

Table 2. Experimental data of lithium ion battery under various experimental conditions

正极材料	T₁/℃		T₂/℃		ΔP/MPa		T_gmax/℃		T_max/℃
正极材料	75%SOC	100%SOC	75%SOC	100%SOC	75%SOC	100%SOC	75%SOC	100%SOC	75%SOC	100%SOC
LCO	189.03	164.77	266.43	233.82	0.0386	0.1418	77.9	300.03	561.65	569.24
NCM	186.24	162.59	264.95	232.98	0.0515	0.1656	85.69	321.26	699.95	588.3

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表 3 锂离子电池热失控气体分析结果

Table 3. Analysis results of thermal runaway gas of lithium ion battery

正极材料	N₂体积分数/%		O₂体积分数/%		H₂体积分数/%		CO₂体积分数/%		CO体积分数/%		C_xH_y体积分数/%
正极材料	75%SOC	100%SOC	75%SOC	100%SOC	75%SOC	100%SOC	75%SOC	100%SOC	75%SOC	100%SOC	75%SOC	100%SOC
LCO	67.89	54.54	14.31	11.26	5.92	8.81	4.86	5.30	3.58	11.95	3.44	8.14
NCM	59.75	39.89	14.57	4.71	5.66	11.56	5.21	7.25	4.21	22.02	9.31	14.57

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