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Effects of open-circuit voltage tests and models on state-of-charge estimation for batteries in highly variable temperature environments: Study case nano-satellites

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00349901" target="_blank" >RIV/68407700:21230/21:00349901 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.jpowsour.2021.229913" target="_blank" >https://doi.org/10.1016/j.jpowsour.2021.229913</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jpowsour.2021.229913" target="_blank" >10.1016/j.jpowsour.2021.229913</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Effects of open-circuit voltage tests and models on state-of-charge estimation for batteries in highly variable temperature environments: Study case nano-satellites

  • Original language description

    Nano-satellites are a rapidly developing field of the space industry. Their structure and environmental conditions impose requirements for their functioning and reliability. One of key systems to keep nano-satellites in operation is the energy storage, often in a form of batteries, which supplies power, when there is not enough generation from solar panels. Thus, it is desirable to monitor the battery states, such as the state-of-charge (SOC). This topic was investigated in connection to other applications as electric vehicles or stationary storage; however, their working conditions are different from nano-satellites’. We propose a SOC estimation method, which takes into account these conditions, especially wide and rapidly changing temperature. The SOC is estimated through an unscented Kalman filter (UKF), which uses open-circuit voltage as pseudo-measurement, obtained from an online parameter identification method. Furthermore, to achieve a high accuracy SOC estimation, various open-circuit voltage models and characterization test procedures were evaluated. Finally, the SOC root mean square error of 0.53% was reached for a rapid temperature varying nano-satellite mission profile with thermal gradient of 22.4°C/hour by using an extended Kalman filter for online parameter identification and UKF for SOC estimation, based on the analytical OCV model characterized from quasi open-circuit voltage test.

  • 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

    2021

  • 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 Power Sources

  • ISSN

    0378-7753

  • e-ISSN

    1873-2755

  • Volume of the periodical

    498

  • Issue of the periodical within the volume

    June

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    1-10

  • UT code for WoS article

    000652657000001

  • EID of the result in the Scopus database

    2-s2.0-85104635680