Accuracy analysis of the State-of-Charge and remaining run-time determination for lithium-ion batteries

V. Pop, H.J. Bergveld, P.H.L. Notten, J.H.G. Op het Veld, Paulus P.L. Regtien

    Research output: Contribution to journalArticleAcademicpeer-review

    40 Citations (Scopus)

    Abstract

    This paper describes the various error sources in a real-time State-of-Charge (SoC) evaluation system and their effects on the overall accuracy in the calculation of the remaining run-time of a battery-operated system. The SoC algorithm for Li-ion batteries studied in this paper combines direct measurement of the Electro-Motive Force (EMF) and bookkeeping systems. The major error source appears to be the value of the EMF, which changes with temperature, with previous (dis)charging conditions and due to aging over time. It is shown that with a new method for modelling the SoC–EMF relationship and by predicting the battery’s State-of-Charge-left, an error of less than 1 min or 1% in the remaining runtime can be obtained.
    Original languageUndefined
    Pages (from-to)1131-1138
    Number of pages8
    JournalMeasurement : journal of the International Measurement Confederation (Ned.)
    Volume42
    Issue number8
    DOIs
    Publication statusPublished - 2008

    Keywords

    • CE-MI: Formerly in EWI-MI
    • Li-ion batteriesState-of-ChargeOverpotential
    • Overpotential
    • Li-ion batteries
    • EWI-20021
    • IR-67916
    • State-of-Charge

    Cite this

    @article{f0de4a9832044287a656aa2e67c140de,
    title = "Accuracy analysis of the State-of-Charge and remaining run-time determination for lithium-ion batteries",
    abstract = "This paper describes the various error sources in a real-time State-of-Charge (SoC) evaluation system and their effects on the overall accuracy in the calculation of the remaining run-time of a battery-operated system. The SoC algorithm for Li-ion batteries studied in this paper combines direct measurement of the Electro-Motive Force (EMF) and bookkeeping systems. The major error source appears to be the value of the EMF, which changes with temperature, with previous (dis)charging conditions and due to aging over time. It is shown that with a new method for modelling the SoC–EMF relationship and by predicting the battery’s State-of-Charge-left, an error of less than 1 min or 1{\%} in the remaining runtime can be obtained.",
    keywords = "CE-MI: Formerly in EWI-MI, Li-ion batteriesState-of-ChargeOverpotential, Overpotential, Li-ion batteries, EWI-20021, IR-67916, State-of-Charge",
    author = "V. Pop and H.J. Bergveld and P.H.L. Notten and {Op het Veld}, J.H.G. and Regtien, {Paulus P.L.}",
    year = "2008",
    doi = "10.1016/j.measurement.2008.03.009",
    language = "Undefined",
    volume = "42",
    pages = "1131--1138",
    journal = "Measurement : journal of the International Measurement Confederation (Ned.)",
    issn = "0263-2241",
    publisher = "Elsevier",
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    Accuracy analysis of the State-of-Charge and remaining run-time determination for lithium-ion batteries. / Pop, V.; Bergveld, H.J.; Notten, P.H.L.; Op het Veld, J.H.G.; Regtien, Paulus P.L.

    In: Measurement : journal of the International Measurement Confederation (Ned.), Vol. 42, No. 8, 2008, p. 1131-1138.

    Research output: Contribution to journalArticleAcademicpeer-review

    TY - JOUR

    T1 - Accuracy analysis of the State-of-Charge and remaining run-time determination for lithium-ion batteries

    AU - Pop, V.

    AU - Bergveld, H.J.

    AU - Notten, P.H.L.

    AU - Op het Veld, J.H.G.

    AU - Regtien, Paulus P.L.

    PY - 2008

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    AB - This paper describes the various error sources in a real-time State-of-Charge (SoC) evaluation system and their effects on the overall accuracy in the calculation of the remaining run-time of a battery-operated system. The SoC algorithm for Li-ion batteries studied in this paper combines direct measurement of the Electro-Motive Force (EMF) and bookkeeping systems. The major error source appears to be the value of the EMF, which changes with temperature, with previous (dis)charging conditions and due to aging over time. It is shown that with a new method for modelling the SoC–EMF relationship and by predicting the battery’s State-of-Charge-left, an error of less than 1 min or 1% in the remaining runtime can be obtained.

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    KW - Overpotential

    KW - Li-ion batteries

    KW - EWI-20021

    KW - IR-67916

    KW - State-of-Charge

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