A Study of Recursive Techniques for Robust Identification of Time-Varying Electrical Equivalent Circuit Models of Li-Ion Batteries

A Study of Recursive Techniques for Robust Identification of Time-Varying Electrical Equivalent Circuit Models of Li-Ion Batteries

Ashraf Mostafa, Manohar Das
Copyright: © 2017 |Volume: 8 |Issue: 3 |Pages: 23
ISSN: 1947-9158|EISSN: 1947-9166|EISBN13: 9781522513438|DOI: 10.4018/IJHCR.2017070104
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MLA

Mostafa, Ashraf, and Manohar Das. "A Study of Recursive Techniques for Robust Identification of Time-Varying Electrical Equivalent Circuit Models of Li-Ion Batteries." IJHCR vol.8, no.3 2017: pp.52-74. http://doi.org/10.4018/IJHCR.2017070104

APA

Mostafa, A. & Das, M. (2017). A Study of Recursive Techniques for Robust Identification of Time-Varying Electrical Equivalent Circuit Models of Li-Ion Batteries. International Journal of Handheld Computing Research (IJHCR), 8(3), 52-74. http://doi.org/10.4018/IJHCR.2017070104

Chicago

Mostafa, Ashraf, and Manohar Das. "A Study of Recursive Techniques for Robust Identification of Time-Varying Electrical Equivalent Circuit Models of Li-Ion Batteries," International Journal of Handheld Computing Research (IJHCR) 8, no.3: 52-74. http://doi.org/10.4018/IJHCR.2017070104

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Abstract

This article presents results of a comparative study of recursive techniques for robust identification of time-varying electrical equivalent circuit models of li-ion batteries. Two such methods are studied, a direct continuous time system identification method and an indirect discrete time technique. The results of this study indicate that although both methods work equally well for identification of time-invariant circuit models from clean voltage-current data, the direct continuous time method outperforms indirect discrete time technique for identification of time-varying circuit models. Similar conclusions can also be drawn for identification of equivalent circuit models in the presence of noise and/or unmodeled dynamics.

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