首页|基于拉曼光谱的锂电池热解气危险定量研究

基于拉曼光谱的锂电池热解气危险定量研究

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为了解决传统锂离子电池热失控气体检测手段存在检测周期长、易交叉干扰等问题,系统地定量研究锂离子电池热解气体潜在危险性.提出气体拉曼光谱分析技术结合多种气体安全定量分析方法,对三元锂离子电池(以下简称锂离子电池)热解气体毒性及潜在燃爆危险性进行全面研究.通过建立的热失控特征气体预测模型,着重分析了不同荷电状态(25%、50%、75%、100%)下锂离子电池热失控气体浓度、气体生成量、爆炸极限、压力特性、爆炸严重程度变化规律,并结合实际场景评估电池火灾毒性.研究表明:拉曼光谱气体浓度定量模型可精准预测锂离子电池热失控气体浓度信息,H2、CO2和CO总浓度占热失控释放气体总量的80.31%~94.56%,最大压力、最大升压速率、爆炸指数和气体爆炸极限范围随着SOC增加呈现先减小后增大的趋势,50%SOC的锂离子电池表现出最好的气体安全性,爆炸极限范围最窄,为9.66%~25.27%,电池火灾具有灾难性毒性.
Quantitative study on the risk of pyrolysis gas released by lithium battery based on Raman spectroscopy
In order to solve the problems such as long detection pe-riod and easy cross interference in traditional detection methods of thermal runaway gas of lithium ion batteries,the potential risk of pyrolysis gas of lithium batteries were systematically and quantita-tively studied.In this paper,gas Raman spectroscopy combined with a variety of gas safety quantitative analysis methods was pro-posed to comprehensively study the toxicity and potential explo-sion risk of ternary lithium-ion battery pyrolysis gas.Based on the established thermal runaway characteristic gas prediction model,the variation law of thermal runaway gas concentration,gas gen-eration,explosion limit,pressure characteristics and explosion se-verity of lithium-ion battery under different SOC(25%,50%,75%,100%)was emphatically analyzed,and the battery fire tox-icity was evaluated in combination with the actual scenario.The research shows that:The Raman spectral gas concentration quan-titative model can accurately predict the thermal runaway gas con-centration information of lithium-ion batteries.H2,CO2 and CO concentrations account for 80.31%~94.56%of the total thermal runaway gas released.The maximum pressure,maximum pres-sure boost rate,explosion index and gas explosion limit range show a trend of decreasing first and then increasing with the in-crease of SOC.Lithium-ion batteries with 50%SOC show the best gas safety,with the narrowest explosion limit range of 9.66%to 25.27%,and battery fires are disastrously toxic.

Raman spectrumlithium-ion batteriesthermal run-awaymulti-component characteristic gas analysisquantitative analysis of gas risk

张怡、张伟

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西安航空职业技术学院 航空管理工程学院,陕西 西安 710089

中国民航大学 交通科学与工程学院,天津 300300

拉曼光谱 锂离子电池 热失控 多组分特征气体分析 气体危险性定量分析

国家自然科学基金中央高校基本科研业务费中国民航大学专项

618015193122020048

2024

消防科学与技术
中国消防协会

消防科学与技术

CSTPCD北大核心
影响因子:0.846
ISSN:1009-0029
年,卷(期):2024.43(10)