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Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00563669" target="_blank" >RIV/60162694:G43__/26:00563669 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/25:00140312 RIV/00216305:26220/26:0199405

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0306261924018798?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0306261924018798?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.apenergy.2024.124496" target="_blank" >10.1016/j.apenergy.2024.124496</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model

  • Original language description

    This article is concerned with studying and modelling the behaviour of a battery in an electric aircraft in operation — the voltage during discharge. Outcomes from extensive experiments on real long-term stored batteries have provided statistically robust sets of data on both long-term stored and new batteries; some of the data, however, are truncated. A modern approach that neglects the truncated issues and is based on functional data analysis and modified with a specific time series is used to model the process. This suggested model is much more accurate than the model used previously as it can effectively process truncated data. It also allows a certain degree of generalization. The aim is to determine the probability density of the time when the battery reaches the critical value, including the numerical statistics, for both stored and new batteries. The results are compared using the specific statistical Kullback–Leibler divergence approach to determine the degree of difference. The proposed model applies to similar issues where battery voltage is modelled in a time domain while the data form is truncated. It is proved, however, that further use of the stored batteries does not disrupt the safe and reliable operation of an electric airplane in terms of their functionality.

  • 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

    20704 - Energy and fuels

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    APPLIED ENERGY

  • ISSN

    0306-2619

  • e-ISSN

  • Volume of the periodical

    377

  • Issue of the periodical within the volume

    124496

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    15

  • Pages from-to

    124496

  • UT code for WoS article

    001327715200001

  • EID of the result in the Scopus database

    2-s2.0-85204801999