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Raman spectroscopy, “big data”, and local heterogeneity of solid state synthesized lithium titanate

  • Dmitry V. Pelegov*
  • , Boris N. Slautin
  • , Vadim S. Gorshkov
  • , Pavel S. Zelenovskiy
  • , Evgeny A. Kiselev
  • , Andrei L. Kholkin
  • , Vladimir Ya Shur
  • *Corresponding author for this work
  • Ural Federal University
  • JSC Eliont
  • University of Aveiro

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

Existence of defects is an inherent property of real materials. Due to an explicit correlation between defects concentration and conductivity, it is important to understand the level and origins of the structural heterogeneity for any particulate electrode material. Poor conductive lithium titanate Li4Ti5O12(LTO), widely used in batteries for grids and electric buses, needs it like no one else. In this work, structural heterogeneity of compacted lithium titanate is measured locally in 100 different points by conventional micro-Raman technique, characterized in terms of variation of Raman spectra parameters and interpreted using our version of “big data” analysis. This very simple approach with automated measurement and treatment has allowed us to demonstrate inherent heterogeneity of solid-state synthesized LTO and attribute it to the existence of lithium and oxygen vacancies. The proposed approach can be used as a fast, convenient, and cost-effective defects-probing tool for a wide range of materials with defects-sensitive properties. In case of LTO, such an approach can be used to increase its charge/discharge rates by synthesis of materials with controlled nonstoichiometry. New approaches to solid state synthesis of LTO, suitable for high-power applications, will help to significantly reduce the costs of batteries for heavy-duty electric vehicles and smart-grids.

Original languageEnglish
Pages (from-to)143-150
Number of pages8
JournalJournal of Power Sources
Volume346
DOIs
Publication statusPublished - 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Automated experiment
  • LiTiO
  • Lithium vacancies
  • Negative electrode material
  • Nonstoichiometry
  • Oxygen vacancies

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