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Battery Models for Estimation of State of Charge by Sliding Mode Observer

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Sustainability in Energy and Buildings

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 12))

Abstract

This paper presents an analysis of the equivalent circuits proposed for modeling some batteries behaviour. This will show that a third order state space model can be a good deal when used with robust state observer converging in finit time. A robust on-line estimation of State Of Charge is developped. We propose a reduced complexity and Sliding Mode Observer for battery SOC estimation. We review some of the litterature Electrical models and develop their state space formulation. The SMO robust observers are developped and compared in some simulations to emphasize the observers performance.

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Author information

Authors and Affiliations

  1. Laboratoire des Sciences de l’Information et Systemes (LSIS), CNRS UMR 6168, Domaine Universitaire Saint-Jerome, Avenue Escadrille Normandie-Niemen, 13397, Marseille Cedex 20, France

    Nacer K. M’Sirdi & Aziz Naamane

  2. University of OumBouaghi, Algeria

    Ahmed Belhani

Authors
  1. Nacer K. M’Sirdi
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  2. Ahmed Belhani
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  3. Aziz Naamane
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Editor information

Editors and Affiliations

  1. Laboratory of Systems and Information Sciences, Marseille, France

    Nacer M’Sirdi

  2. Laboratory of Systems and Information Sciences, Marseile, France

    Aziz Namaane

  3. KES International, Shoreham-by-SeaWest Sussex, UK

    Robert J. Howlett

  4. University of South Australia, Adelaide, SA, Australia

    Lakhmi C. Jain

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© 2012 Springer-Verlag Berlin Heidelberg

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M’Sirdi, N.K., Belhani, A., Naamane, A. (2012). Battery Models for Estimation of State of Charge by Sliding Mode Observer. In: M’Sirdi, N., Namaane, A., Howlett, R.J., Jain, L.C. (eds) Sustainability in Energy and Buildings. Smart Innovation, Systems and Technologies, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27509-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-27509-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27508-1

  • Online ISBN: 978-3-642-27509-8

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