The lifespan of a satellite is primarily dependent on its battery performance. Thus, proper management and monitoring of the battery is important. Most miniaturized satellites of cubeSat and nanosatellite primarily rely on battery voltage readings for monitoring and seldom provide battery health status in a satellite. As the voltage readings can be affected by satellite operating conditions such as temperature and battery lifespan, it can give unreliable readings that might jeopardize satellite operation. The availability of the battery health status can prevent unexpected battery failures and provide useful insights into the planning of satellite operations. In this article, the battery management system of a satellite with state-of-charge (SOC) and state-of-health (SOH) monitoring is presented. For SOC estimation, a scaled unscented Kalman filter (UKF) is proposed. When compared to the existing UKF approach, it requires fewer sigma points and the positive weights used in the scaled unscented transform ensure the positive semidefiniteness of the covariance matrix leading to the improved numerical stability of the filter. Conversely, SOH monitoring is achieved by taking advantage of the opportunity arising from the satellite operations. The battery parameters are extracted without artificially injecting charge and discharge pulses. To validate the performance of the BMS, the experimental prelaunch tests and the actual in-flight data of the VELOX-II satellite is used as an example. From the results, the SOC estimation error is approximately 1% and the SOH estimation is consistent with the manufacturer's datasheet.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Battery Management System With State-of-Charge and Opportunistic State-of-Health for a Miniaturized Satellite


    Beteiligte:
    Aung, Htet (Autor:in) / Soon, Jing Jun (Autor:in) / Goh, Shu Ting (Autor:in) / Lew, Jia Min (Autor:in) / Low, Kay-Soon (Autor:in)


    Erscheinungsdatum :

    2020-08-01


    Format / Umfang :

    5363766 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Reporting of vehicle battery state of health and charge

    NEWMAN AUSTIN L / SMITH ALEXANDER J / ING ADAM H | Europäisches Patentamt | 2020

    Freier Zugriff

    Battery-Charge-State Model

    Vivian, H. C. | NTRS | 1985