Neutron depth profiling - a method for direct visualization of Li-ion distribution and migration in all-solid-state Li-ion batteries (ASSLIB)

被引:0
|
作者
Vacik, Jiri [1 ]
Ceccio, Giovanni [1 ]
Tomandl, Ivo [1 ]
机构
[1] Czech Acad Sci, Nucl Phys Inst, Rez, Czech Republic
来源
RADIATION EFFECTS AND DEFECTS IN SOLIDS | 2024年 / 179卷 / 11-12期
关键词
Neutron depth profiling; lithium ion battery; coincidence arrangement; multipixel detectors;
D O I
10.1080/10420150.2024.2434513
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
In the work, it is briefly shown that the Neutron Depth Profiling method is a very suitable tool for the analysis of thin Li batteries with a solid electrolyte, allowing the measurement of Li distribution using different (1D, 2D and 3D) options and the monitoring of dynamic processes in batteries in real time.
引用
收藏
页码:1564 / 1568
页数:5
相关论文
共 50 条
  • [21] Uniform Li-ion diffusion and robust solid electrolyte interface construction for kilogram-scale Si@ZIF powder as the anode in Li-ion batteries
    Zhang, Dongmei
    Yang, Ruonan
    Zhou, Jianhua
    Liu, Wenping
    Qin, Haiqing
    Zhang, Zhenjun
    Lei, Xiaoxu
    Lu, Anjun
    Mo, Zuxue
    Miao, Lei
    Dang, Feng
    ENERGY STORAGE MATERIALS, 2023, 63
  • [22] In Situ and In Operando Techniques to Study Li-Ion and Solid-State Batteries: Micro to Atomic Level
    Golozar, Maryam
    Gauvin, Raynald
    Zaghib, Karim
    INORGANICS, 2021, 9 (11)
  • [23] A novel method for the in situ determination of concentration gradients in the electrolyte of Li-ion batteries
    Zhou, Jiang
    Danilov, Dmitry
    Notten, Peter H. L.
    CHEMISTRY-A EUROPEAN JOURNAL, 2006, 12 (27) : 7125 - 7132
  • [24] Anionic redox in a-(Mo3S11)n polymer cathode for all-solid-state Li-ion battery
    Quang Duc Truong
    Yin, Li-Chang
    Hung, Nguyen T.
    Nguyen, Duc N.
    Gambe, Yoshiyuki
    Nayuki, Keiichiro
    Sasaki, Yoshikazu
    Kobayashi, Hiroaki
    Saito, Riichiro
    Tran, Phong D.
    Honma, Itaru
    ELECTROCHIMICA ACTA, 2020, 332
  • [25] Deep Learning in the State of Charge Estimation for Li-Ion Batteries of Electric Vehicles: A Review
    Zhang, Dawei
    Zhong, Chen
    Xu, Peijuan
    Tian, Yiyang
    MACHINES, 2022, 10 (10)
  • [26] State of health estimation approach for Li-ion batteries based on mechanism feature empowerment
    Yao, Lei
    Wen, Jishu
    Xiao, Yanqiu
    Zhang, Caiping
    Shen, Yongpeng
    Cui, Guangzhen
    Xiao, Dandan
    JOURNAL OF ENERGY STORAGE, 2024, 84
  • [27] Impact of Silicon Content within Silicon-Graphite Anodes on Performance and Li Concentration Profiles of Li-Ion Cells using Neutron Depth Profiling
    Moyassari, Erfan
    Streck, Luiza
    Paul, Neelima
    Trunk, Markus
    Neagu, Robert
    Chang, Chia-Chin
    Hou, Shang-Chieh
    Maerkisch, Bastian
    Gilles, Ralph
    Jossen, Andreas
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2021, 168 (02)
  • [28] The state of health prediction of Li-ion batteries based on an improved extreme learning machine
    Hou, Xiaokang
    Guo, Xiaodong
    Yuan, Yupeng
    Zhao, Ke
    Tong, Liang
    Yuan, Chengqing
    Teng, Long
    JOURNAL OF ENERGY STORAGE, 2023, 70
  • [29] Direct Solution-calcination synthesis of residual Li-free layered cathode materials for Li-ion batteries
    Choi, Yoo Jung
    Kim, You Jin
    Kim, Suji
    Kim, Ga Yoon
    Ryu, Won-Hee
    APPLIED SURFACE SCIENCE, 2023, 629
  • [30] Low Li+ binding affinity: An important characteristic for additives to form solid electrolyte interphases in Li-ion batteries
    Park, Miin Hee
    Lee, Yoon Sup
    Lee, Hochun
    Han, Young-Kyu
    JOURNAL OF POWER SOURCES, 2011, 196 (11) : 5109 - 5114