All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Degradation behaviour analysis and end-of-life prediction of lithium titanate oxide batteries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00367002" target="_blank" >RIV/68407700:21230/23:00367002 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.est.2023.107745" target="_blank" >https://doi.org/10.1016/j.est.2023.107745</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.est.2023.107745" target="_blank" >10.1016/j.est.2023.107745</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Degradation behaviour analysis and end-of-life prediction of lithium titanate oxide batteries

  • Original language description

    Lithium-ion batteries (LiBs) with Lithium titanate oxide Li4Ti5O12(LTO) negative electrodes are an alternative to graphite-based LiBs for high power applications. These cells offer a long lifetime, a wide operating temperature, and improved safety. To ensure the longevity and reliability of the LTO cells in different applications, battery health diagnosis, and lifetime prediction are crucial. This paper examines the cycling ageing behaviour of LTO cells in two different cell temperatures under high-current cycling conditions and various cycle depth (CD) tests. The ageing behaviour is investigated via capacity degradation trend using data-driven technique based on feedforward neural network (FFNN). The model is later validated with the experimental result collected in-house and the lifetime data provided by the manufacturer. The proposed method accurately determines the state of health (SOH) level and predicts the end of life (EOL) with an acceptable error of 5 %.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Energy Storage

  • ISSN

    2352-152X

  • e-ISSN

    2352-1538

  • Volume of the periodical

    68

  • Issue of the periodical within the volume

    107745

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

    001015729300001

  • EID of the result in the Scopus database

    2-s2.0-85163403611