Detection of Li-ion battery failure and venting with Carbon Dioxide sensors

热失控 环境科学 电池(电) 汽车工程 假警报 警报 热的 预警系统 计算机科学 核工程 工艺工程 工程类 电气工程 气象学 电信 功率(物理) 物理 量子力学 机器学习
作者
Ting Cai,Puneet Valecha,Vivian Tran,Brian Engle,Anna G. Stefanopoulou,Jason B. Siegel
出处
期刊:eTransportation [Elsevier]
卷期号:7: 100100-100100 被引量:133
标识
DOI:10.1016/j.etran.2020.100100
摘要

Li-ion battery thermal runaway is a critical safety issue for Electric Vehicles. The proposed global technical regulation No. 20 by the United Nations on Electric Vehicle Safety requires an advanced warning 5 minutes prior to the evolution of hazardous conditions caused by thermal runaway. To achieve this 5-min advanced warning, a robust and sensitive detection methodology is required. Gas venting is often a precursor of thermal runaway, and therefore the use of gas-based detection method was evaluated in this paper to explore its response and implementation within a battery pack. The composition of battery vent-gas during a thermal runaway event includes CO2, CO, H2 and volatile organic compounds (VOCs). Among these gas species, there is still some debate about which is most suitable for detection. To resolve this debate, the composition of vent-gas under different testing conditions is summarized from the literature and CO2 is proposed as the target gas species due to its significant presence and early occurrence in all venting events. After evaluating available sensors, the Non-Dispersive Infrared (NDIR) CO2 sensor is considered due to its robustness and cost effectiveness. To further clarify the responsiveness of the NDIR CO2 sensor, an overcharging experiment leading to cell venting was conducted with a prototype gas sensor suite. The measured CO2 concentrations of over 30,000 ppm were detected with the gas sensor. Lastly, we demonstrate how a representative venting experiment of a single cell can be used to guide and set the sensed CO2 threshold that will trigger an alarm in a battery pack volume.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
机智灵薇完成签到,获得积分10
刚刚
科研通AI6.1应助瓜i采纳,获得10
刚刚
kangkang发布了新的文献求助10
刚刚
tuo发布了新的文献求助10
1秒前
1秒前
背后的元芹完成签到,获得积分10
1秒前
1秒前
海鑫王发布了新的文献求助10
1秒前
儿学化学打断腿完成签到,获得积分10
2秒前
2秒前
传奇3应助Bowen采纳,获得10
2秒前
2秒前
3秒前
鹅鹅不哭完成签到,获得积分10
3秒前
3秒前
3秒前
Jessica完成签到 ,获得积分10
3秒前
3秒前
ljnbb1完成签到,获得积分10
4秒前
无情醉易发布了新的文献求助10
4秒前
爱听歌灯泡完成签到,获得积分10
5秒前
Anna Jenna完成签到,获得积分10
5秒前
司马船长发布了新的文献求助10
5秒前
科研通AI6.2应助bubu采纳,获得10
5秒前
5秒前
善学以致用应助顺利毕业采纳,获得10
5秒前
6秒前
6秒前
7秒前
桐桐应助DD采纳,获得10
7秒前
小C发布了新的文献求助10
7秒前
cara33完成签到,获得积分10
7秒前
7秒前
7秒前
机智盼山完成签到,获得积分20
7秒前
min发布了新的文献求助10
7秒前
7秒前
脑洞疼应助鹿鹿采纳,获得10
7秒前
宫小小心发布了新的文献求助10
8秒前
lllttt发布了新的文献求助30
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Social Cognition: Understanding People and Events 1200
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6037812
求助须知:如何正确求助?哪些是违规求助? 7762507
关于积分的说明 16219356
捐赠科研通 5183810
什么是DOI,文献DOI怎么找? 2774106
邀请新用户注册赠送积分活动 1757205
关于科研通互助平台的介绍 1641590