Multiscale Imaging Techniques for Real-Time, Noninvasive Diagnosis of Li-Ion Battery Failures

被引:3
|
作者
Lee, Mingyu [1 ]
Lee, Jiwon [1 ]
Shin, Yewon [1 ]
Lee, Hongkyung [1 ,2 ]
机构
[1] Daegu Gyeongbuk Inst Sci & Technol DGIST, Dept Energy Sci & Engn, 333 Technojungang Ro,Dalsung Gun, Daegu 42988, South Korea
[2] DGIST, Energy Sci & Engn Res Ctr, 333 Technojungang Ro,Dalsung Gun, Daegu 42988, South Korea
来源
SMALL SCIENCE | 2023年 / 3卷 / 11期
基金
新加坡国家研究基金会;
关键词
battery diagnosis; current distribution; latent defects; lithium batteries; multiscale imaging techniques; LITHIUM-ION; IN-SITU; ELECTRIC VEHICLES; SPATIAL-DISTRIBUTION; GRAPHITE ELECTRODE; AGING MECHANISMS; THERMAL RUNAWAY; FILLING PROCESS; SHORT CIRCUITS; CELLS;
D O I
10.1002/smsc.202300063
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
With the increasing popularity of battery-powered mobility, ensuring the safety and reliability of Li-ion batteries (LIBs) has become critical for manufacturers. Despite advanced manufacturing processes for large-scale Li-ion cells, "latent defects" still unintentionally appear, due to imbalanced battery design, invisible faults, and extreme operating conditions. These defects cause performance degradation and can even lead to battery fires. Hence, early detection of latent defects, along with understanding the influence of cell parameters and operating conditions on battery failure scenarios, is crucial. For straightforward investigations and interpretations, noninvasive and in operando battery imaging techniques and methods have been proposed using X-rays, neutrons, and ultrasound, as these can penetrate active and component materials and cell packaging. Moreover, magnetic-field-guided visualization of the current distribution pattern in cells under a current load has been proposed to identify invisible defects. This review thoroughly examines various imaging techniques for internal batteries, from the atomic and molecular levels in electrode materials and interfaces to macroscale battery systems. By assessing qualitative case studies and newly discovered phenomena, this review provides valuable insights into state-of-the-art noninvasive battery imaging and its potential to improve the safety and reliability of LIB technology. Diagnosing Li secondary batteries using in operando, noninvasive imaging tools is crucial for securing their safety and reliability. Combining X-rays, neutrons, ultrasound, and magnetic fields, multiscale battery imaging through its hierarchy from particle to cell level can provide a comprehensive picture of the structural and chemical information of the battery interior, aiding in understanding various failure scenarios and pinpointing the defect locations.image (c) 2023 WILEY-VCH GmbH
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Dynamical modeling procedure of a Li-ion battery pack suitable for real-time applications
    Castano, S.
    Gauchia, L.
    Voncila, E.
    Sanz, J.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 92 : 396 - 405
  • [2] Implementation of Real-time Simulation System for Li-ion Battery Protection Circuit Module
    Kim, Min-Joon
    Chae, Sung-Hun
    Moon, Yeon-Kug
    [J]. 2020 17TH INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC 2020), 2020, : 268 - 269
  • [3] Electron paramagnetic resonance imaging for real-time monitoring of Li-ion batteries
    M. Sathiya
    J.-B. Leriche
    E. Salager
    D. Gourier
    J.-M. Tarascon
    H. Vezin
    [J]. Nature Communications, 6
  • [4] Electron paramagnetic resonance imaging for real-time monitoring of Li-ion batteries
    Sathiya, M.
    Leriche, J. -B.
    Salager, E.
    Gourier, D.
    Tarascon, J. -M.
    Vezin, H.
    [J]. NATURE COMMUNICATIONS, 2015, 6
  • [5] Predicting Voltage Characteristic of Charging Model for Li-Ion Battery with ANN for Real Time Diagnosis
    Bezha, Minella
    Nagaoka, Naoto
    [J]. 2018 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-NIIGATA 2018 -ECCE ASIA), 2018, : 3170 - 3175
  • [6] HiL testing of Li-Ion battery pack based on real-time virtual vehicle model
    Nemes, Raul
    Ruba, Mircea
    Raia, Raluca
    Martis, Claudia
    Hedesiu, Horia
    [J]. 2021 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2021,
  • [7] Review on The Charging Techniques of a Li-ion Battery
    Ayoub, Elie
    Karami, Nabil
    [J]. 2015 THIRD INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCES IN ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (TAEECE), 2015, : 50 - 55
  • [8] Low-Cost Adaptive Lebesgue Sampling Particle Filtering Approach for Real-Time Li-Ion Battery Diagnosis and Prognosis
    Yan, Wuzhao
    Zhang, Bin
    Dou, Wanchun
    Liu, Datong
    Peng, Yu
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2017, 14 (04) : 1601 - 1611
  • [9] Real time SoC monitoring of a Li-Ion battery for robotic applications
    Laadissi, El Mehdi
    Loualid, El Mehdi
    Ennawaoui, Chouaib
    El Jouad, Mohamed
    [J]. MATERIALS TODAY-PROCEEDINGS, 2022, 66 : 282 - 288
  • [10] Real-Time Control of a Full Scale Li-ion Battery and Li-ion Capacitor Hybrid Energy Storage System for a Plug-in Hybrid Vehicle
    Kollmeyer, Phillip J.
    Wootton, Mackenzie
    Reimers, John
    Opila, Daniel F.
    Kurera, Himesh
    Kadakia, Mrudang
    Gu, Ran
    Stiene, Tyler
    Chemali, Ephrem
    Wood, Megan
    Emadi, Ali
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (04) : 4204 - 4214