Venting composition and rate of large-format LiNi0.8Co0.1Mn0.1O2 pouch power battery during thermal runaway

热失控 气体成分 电池(电) 材料科学 热的 锂(药物) 核工程 环境科学 功率(物理) 热力学 物理 医学 工程类 内分泌学
作者
Kaiyu Zou,Kun He,Shouxiang Lu
出处
期刊:International Journal of Heat and Mass Transfer [Elsevier]
卷期号:195: 123133-123133 被引量:35
标识
DOI:10.1016/j.ijheatmasstransfer.2022.123133
摘要

Lithium-ion batteries have been widely used as a power supply and energy storage device, but safety issues such as thermal runaway still make the application not very optimistic. Venting is one of the thermal runaway characteristics of lithium-ion batteries. The gas composition and venting rate is of far-reaching significance for evaluating the impact of batteries on the environment and people, predicting and simulating the development of thermal safety events. Therefore, in this study, a large-format pouch power battery (LiNi0.8Co0.1Mn0.1O2) was investigated for venting during thermal runaway, including composition and rate. The thermal runaway processes of 0%, 50%, and 100% SOC cells were analyzed according to the temperature, pressure, and video recordings. The gas chromatograph-mass spectrometer (GC-MS) was used to comprehensively identify the venting gas composition of cells. Results show that with the increase of SOC, the gas production composition of the battery became more complex, and the marked gas concentration was higher. The gas and heat production of the cells also increased accordingly. The gas production mechanism of the thermal runaway cells is revealed, and it is believed that the increase in the amount of lithium intercalation in the negative electrode enables more gas production reactions to occur more thoroughly. Besides, three methods for predicting the cell's venting rate based on mass loss, temperature and pressure changes, and gas concentration are compared.

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
loathebm发布了新的文献求助10
刚刚
刚刚
1秒前
温暖凡灵完成签到,获得积分10
1秒前
孟德尔吃豌豆完成签到,获得积分10
1秒前
2秒前
2秒前
2秒前
2秒前
MWY发布了新的文献求助10
2秒前
3秒前
3秒前
开心书本发布了新的文献求助10
3秒前
3秒前
共享精神应助未雨绸缪采纳,获得10
3秒前
wjt发布了新的文献求助10
3秒前
3秒前
柯柯发布了新的文献求助10
3秒前
何妍发布了新的文献求助10
3秒前
3秒前
SJJ应助香香采纳,获得10
4秒前
4秒前
香蕉觅云应助liao采纳,获得10
5秒前
紧张的冷卉完成签到,获得积分10
5秒前
Lucas应助Djnsbj采纳,获得10
6秒前
雨落千年发布了新的文献求助10
6秒前
loathebm发布了新的文献求助10
8秒前
loathebm发布了新的文献求助30
8秒前
loathebm发布了新的文献求助10
8秒前
loathebm发布了新的文献求助10
8秒前
谜迪完成签到 ,获得积分10
8秒前
ggg发布了新的文献求助10
8秒前
8秒前
8秒前
爆米花应助小雨采纳,获得10
8秒前
小松鼠完成签到 ,获得积分10
9秒前
量子星尘发布了新的文献求助10
10秒前
sure发布了新的文献求助10
10秒前
香蕉觅云应助科研笨猪采纳,获得10
10秒前
11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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5668670
求助须知:如何正确求助?哪些是违规求助? 4892290
关于积分的说明 15125387
捐赠科研通 4827622
什么是DOI,文献DOI怎么找? 2584752
邀请新用户注册赠送积分活动 1538503
关于科研通互助平台的介绍 1496841