A robust ultrasonic characterization methodology for lithium-ion batteries on frequency-domain damping analysis

超声波传感器 锂(药物) 频域 表征(材料科学) 声学 离子 材料科学 计算机科学 物理 纳米技术 心理学 精神科 量子力学 计算机视觉
作者
Kangpei Meng,Xiaoping Chen,Wenhu Zhang,Wesley Chang,Jun Xu
出处
期刊:Journal of Power Sources [Elsevier]
卷期号:547: 232003-232003 被引量:2
标识
DOI:10.1016/j.jpowsour.2022.232003
摘要

Recently, non-invasive ultrasonic-based detection has emerged as a powerful tool to estimate the state-of-charge (SOC) and state-of-health (SOH) of lithium-ion batteries with a promising accuracy and efficiency. However, the currently available non-invasive methodology is highly sensitive to experimental setups and conditions, leading to unpredictable and unstable results. To this end, from a more fundamental stress wave propagation perspective, we discover that the quantified change of ultrasonic damping can be an intrinsic physical quantity to correlate with the state-of-charge (SOC) of batteries. We employ time-harmonic waves with different frequencies to obtain the steady-state dynamic response of lithium-ion batteries at various SOCs and a quasi-periodic energy gap can be observed. A mesoscale physics-based model of lithium-ion batteries is established to explain the observed energy gap carrying the multiple reflections of ultrasonic waves within the multi-layered structure of the cell. Finally, the change of ultrasonic damping with SOC is quantified for fast and accurate SOC prediction based on the frequency-domain damping analysis. Results underpin a robust and accurate frequency-domain ultrasonic characterization methodology for batteries and highlight the promise of the fundamental understanding of wave propagation for advanced characterization of batteries. • Continuous waves are input as incident signals to conduct in-situ ultrasonic tests. • The wave dissipation mechanism through the pouch cell is revealed. • A meso-scale analytical model of the pouch cell is established. • An acoustic-based methodology for battery SOC estimation is proposed.

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
gkq发布了新的文献求助10
刚刚
瘦瘦的戒指完成签到,获得积分10
1秒前
崩溃发布了新的文献求助10
1秒前
1秒前
AeAeAe发布了新的文献求助10
2秒前
领导范儿应助义气绮南采纳,获得10
2秒前
深情的羞花完成签到 ,获得积分10
3秒前
木灵完成签到,获得积分10
3秒前
jnuszjz发布了新的文献求助10
3秒前
haihao完成签到,获得积分10
3秒前
4秒前
Lululu发布了新的文献求助10
4秒前
小蘑菇应助王蕊采纳,获得10
5秒前
XYY完成签到,获得积分10
5秒前
aen01完成签到,获得积分10
5秒前
LJ完成签到,获得积分10
5秒前
Jerry发布了新的文献求助30
5秒前
不羁完成签到,获得积分10
6秒前
kewy完成签到,获得积分10
6秒前
科研圈外人完成签到 ,获得积分10
6秒前
李爱国应助tangying8642采纳,获得10
7秒前
动听的南晴完成签到,获得积分10
7秒前
jackqie发布了新的文献求助10
7秒前
8秒前
刚刚好-LG完成签到,获得积分20
8秒前
8秒前
8秒前
Rhan完成签到,获得积分10
8秒前
月夜孤影完成签到,获得积分10
9秒前
ryan发布了新的文献求助10
9秒前
gong发布了新的文献求助10
9秒前
华仔应助jnuszjz采纳,获得10
10秒前
沫荔完成签到 ,获得积分10
10秒前
11秒前
11秒前
所所应助ss采纳,获得10
11秒前
12秒前
乐乐应助bronny采纳,获得10
12秒前
科研通AI6应助广广广渠路采纳,获得30
12秒前
欢喜的小天鹅完成签到 ,获得积分10
13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
Encyclopedia of Reproduction Third Edition 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
nephSAP® Nephrology Self-Assessment Program - Hypertension The American Society of Nephrology 500
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 5624763
求助须知:如何正确求助?哪些是违规求助? 4710606
关于积分的说明 14951556
捐赠科研通 4778691
什么是DOI,文献DOI怎么找? 2553391
邀请新用户注册赠送积分活动 1515355
关于科研通互助平台的介绍 1475679