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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(3): 287-290 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.322

Energy Storage Selection for LEO Satellites

B. Abdi, A. Alimardani, R. Ghasemi, and S. M. M. Mirtalaei
Abstract—This paper presents two energy storage systems, based on chemical batteries and flywheels as the energy source of low earth orbit satellites in eclipse duration. Each system is designed and optimized with regard to energy requirement of a typical LEO satellite and various vital parameters in satellites which are discussed. The storage system and electronic interface are presented to give an adequate view for comparing them in different aspects. Afterwards, a comparison between these energy storage systems (ESSs) is applied considering their efficiency, reliability, weight, operational temperature and self-discharge dissipation (trickle charge). Finally, the conclusion presents the most recommended system in order of their capability.

Index Terms—Energy storage system, chemical battery, flywheel, LEO Satellite.

This work was supported in part by Damavand Branch, Islamic Azad University. The Authors are with Damavand Branch, Islamic Azad University, Damavand, Tehran, Iran (e-mail: babakabdi@ieee.org).

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Cite:B. Abdi, A. Alimardani, R. Ghasemi, and S. M. M. Mirtalaei, "Energy Storage Selection for LEO Satellites," International Journal of Machine Learning and Computing vol.3, no. 3, pp. 287-290, 2013.

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