Design of a novel artificial intelligence technique for Cube-Sat power budget calculations
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42401-024-00278-1.pdf
Reference20 articles.
1. Lelekov A (2021) Estimation of the cubesat’s available energy for free-orientation scenario. IEEE Aerosp Electron Syst Mag 36(12):6–14. https://doi.org/10.1109/MAES.2021.3089233
2. Benini L, Castelli G, Macii A, Macii E, Poncino M, Scarsi R (2000) A discrete-time battery model for high-level power estimation. In: Proceedings design, automation and test in Europe conference and exhibition 2000 (Cat. No. PR00537), pp 35–39. https://doi.org/10.1109/DATE.2000.840012
3. Mokhtar MA, ElTohamy H, Elhalwagy Yehia Z, Mohamed EH (2023) Developing a novel battery management algorithm with energy budget calculation for low earth orbit (leo) spacecraft. Aerosp Syst. https://doi.org/10.1007/s42401-023-00260-3
4. Ali A, Khalily M, Sattarzadeh A, Massoud A, Hasna MO, Khattab T, Yurduseven O, Tafazolli R (2021) Power budgeting of leo satellites: an electrical power system design for 5g missions. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3104098
5. Edpuganti A, Khadkikar V, Zeineldin H (2022) Single-input multiple-output converter for cubesat electric power system. In: 2022 IEEE 2nd international conference on sustainable energy and future electric transportation (SeFeT), pp 1–5. https://doi.org/10.1109/SeFeT55524.2022.9908948
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