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A Control Algorithm for Tapering Charging of Li-Ion Battery in Geostationary Satellites

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  • Jeong-Eon Park

    (Satellite Technology Research and Development Division, Korea Aerospace Research Institute (KARI), Daejeon 34133, Republic of Korea)

Abstract

Recently, as the satellite data service market has grown significantly, satellite demand has been rapidly increasing. Demand for geostationary satellites with weather observation, communication broadcasting, and GPS missions is also increasing. Completing the charging process of the Li-ion battery during the sun period is one of the main tasks of the electrical power system in geostationary satellites. In the case of the electrical power system of low Earth orbit satellites, the Li-ion battery is connected to the DC/DC converter output, and the charging process is completed through CV control. However, in the case of the regulated bus of the DET type, which is mainly used in the electrical power system of geostationary satellites, a Li-ion battery is connected to the input of the DC/DC converter. Therefore, a method other than the CV control of the DC/DC converter is required. This paper proposes a control algorithm for tapering charging of the Li-ion battery in the regulated bus of the DET type for Li-ion battery charge completion operation required by space-level design standards. In addition, the proposed control algorithm is verified through an experiment on a geostationary satellite’s ground electrical test platform. The experiment verified that it has a power conversion efficiency of 99.5% from the solar array to the battery. It has 21 tapering steps at the equinox and 17 tapering steps at the solstice.

Suggested Citation

  • Jeong-Eon Park, 2023. "A Control Algorithm for Tapering Charging of Li-Ion Battery in Geostationary Satellites," Energies, MDPI, vol. 16(15), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5636-:d:1203307
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    References listed on IDEAS

    as
    1. Merete Badger & Aito Fujita & Krzysztof Orzel & Daniel Hatfield & Mark Kelly, 2023. "Wind Retrieval from Constellations of Small SAR Satellites: Potential for Offshore Wind Resource Assessment," Energies, MDPI, vol. 16(9), pages 1-19, April.
    2. José M. Blanes & José A. Carrasco & Ausiàs Garrigós & David Marroquí & Cristian Torres, 2021. "Sequential Switching Shunt Regulator Parallel Power Processing Control for High Capacitance Solar Arrays," Energies, MDPI, vol. 14(2), pages 1-13, January.
    3. Luigi Schirone & Matteo Ferrara & Pierpaolo Granello & Claudio Paris & Filippo Pellitteri, 2021. "Power Bus Management Techniques for Space Missions in Low Earth Orbit," Energies, MDPI, vol. 14(23), pages 1-20, November.
    4. György Károlyi & Anna I. Pózna & Katalin M. Hangos & Attila Magyar, 2022. "An Optimized Fuzzy Controlled Charging System for Lithium-Ion Batteries Using a Genetic Algorithm," Energies, MDPI, vol. 15(2), pages 1-23, January.
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