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Influence of Battery Parametric Uncertainties on the State-of-Charge Estimation of Lithium Titanate Oxide-Based Batteries

Author

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  • Ana-Irina Stroe

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Jinhao Meng

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark
    School of Automation, Northwestern Polytechnical University, 710072 Xi’an, China)

  • Daniel-Ioan Stroe

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Maciej Świerczyński

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Remus Teodorescu

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Søren Knudsen Kær

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

Abstract

State of charge (SOC) is one of the most important parameters in battery management systems, as it indicates the available battery capacity at every moment. There are numerous battery model-based methods used for SOC estimation, the accuracy of which depends on the accuracy of the model considered to describe the battery dynamics. The SOC estimation method proposed in this paper is based on an Extended Kalman Filter (EKF) and nonlinear battery model which was parameterized using extended laboratory tests performed on several 13 Ah lithium titanate oxide (LTO)-based lithium-ion batteries. The developed SOC estimation algorithm was successfully verified for a step discharge profile at five different temperatures and considering various initial SOC initialization values, showing a maximum SOC estimation error of 1.16% and a maximum voltage estimation error of 44 mV. Furthermore, by carrying out a sensitivity analysis it was showed that the SOC and voltage estimation error are only slightly dependent on the variation of the battery model parameters with the SOC.

Suggested Citation

  • Ana-Irina Stroe & Jinhao Meng & Daniel-Ioan Stroe & Maciej Świerczyński & Remus Teodorescu & Søren Knudsen Kær, 2018. "Influence of Battery Parametric Uncertainties on the State-of-Charge Estimation of Lithium Titanate Oxide-Based Batteries," Energies, MDPI, vol. 11(4), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:795-:d:138804
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    References listed on IDEAS

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