Edet David Kokoette, Onuh Spencer
This thesis explores the optimization of battery management systems (BMS) tailored for nano-satellites, addressing the critical need for efficient power management in small-scale space applications. The primary objective is to develop a robust BMS that enhances the operational efficiency and longevity of nano-satellite missions. Methodology involves analyzing various optimization algorithms, including genetic algorithms and particle swarm optimization, to optimize charging and discharging processes. Experimental simulations are conducted to identify optimal charging currents and improve overall battery performance. Results indicate significant improvements in battery longevity and performance, highlighting the efficacy of the proposed BMS in mitigating common issues faced by nano-satellites. The findings contribute to advancing the reliability and performance of nano-satellites in space missions, paving the way for future developments in satellite technology. This research serves as a foundational work for further investigations into optimizing power management systems for various applications within the aerospace sector.
@article{fd25ba20-a386-45b0-b654-c057455e188c,
title={OPTIMIZATION OF BATTERY},
author={Edet David Kokoette and Onuh Spencer},
year={2021},
language={English}
}TY - JOUR TI - OPTIMIZATION OF BATTERY AU - Edet David Kokoette AU - Onuh Spencer PY - 2021 LA - English ER -
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