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Battery Capacity Estimation of Low-Earth Orbit Satellite Application

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Author(s): myungsoo jun | kandler smith | eric wood | marshall smart

Journal: International Journal of Prognostics and Health Management
ISSN 2153-2648

Volume: 3;
Issue: 2;
Start page: 51;
Date: 2012;

ABSTRACT
Simultaneous estimation of the battery capacity and state-of-charge is a difficult problem because they are dependent on each other and neither is directly measurable. This paper proposes a particle filtering approach for the estimation of the battery state-of-charge and a statistical method to estimate the battery capacity. Two different methods and time scales have been used for this estimation in order to reduce the dependency on each other. The algorithms are validated using experimental data from A123 graphite/LiFePO4 lithium ion commercial-off-the-shelf cells, aged under partial depth-of-discharge cycling as encountered in low-earth-orbit satellite applications. The model-based method is extensible to battery applications with arbitrary duty-cycles.
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