Measurements of fracture properties of MWCNTs modified LiNi0.5Mn0.3Co0.2O2 electrodes by a modified shear lag model

Weiguo MAO, Xiaoxue ZHU, Zhouqing ZHANG, Huiyu HUANG, Cuiying DAI*, Junan PAN*, Yong PAN, Xi CHEN, Daining FANG

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

4 Citations (Scopus)

Abstract

The multi-walled carbon nanotubes (MWCNTs) modified LiNi0.5Mn0.3Co0.2O2 (NMC532) electrodes were prepared by using blade-coated method. The corresponding microstructure morphology were observed by scanning microscopy electron. The impedance spectroscopy and cycle performances of the electrodes with different MWCNTs contents were measured and discussed. Tensile fracture measurements of the electrodes were performed with the aid of digital image correlation technique. The cracking nucleation and propagation on the active layer surface were in situ monitored. A modified shear lag model was developed to analyze the fracture strength, fracture energy and fracture toughness of the active layer during tensions. The effect of MWCNTs on tensile failure mechanisms of two-layered NMC532 electrodes was discussed. The proposed method is useful for appraising the mechanical properties of other advanced active layers in lithium ion batteries. © 2020 Elsevier B.V.
Original languageEnglish
Article number139223
Volume781
Early online date10 Mar 2020
DOIs
Publication statusPublished - Apr 2020
Externally publishedYes

Bibliographical note

This work was supported by the National Natural Science Foundation of China (Nos. 11802260, 11902283, 11572277, 11772287), the Young and Middle-aged Scholar Training Program of Hunan Province Association for Science and Technology (No. 2017TJ-Q02), the Hunan Natural Science Foundation of Hunan Province (Nos. 2018JJ3490, 2019JJ50578).

Keywords

  • Digital image correlation
  • Lithium-ion battery
  • Shear lag
  • Tensile facture

Fingerprint

Dive into the research topics of 'Measurements of fracture properties of MWCNTs modified LiNi0.5Mn0.3Co0.2O2 electrodes by a modified shear lag model'. Together they form a unique fingerprint.

Cite this