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

doi:10.1016/j.measurement.2008.03.009

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

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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 language	Undefined
Pages (from-to)	1131-1138
Number of pages	8
Journal	Measurement
Volume	42
Issue number	8
DOIs	https://doi.org/10.1016/j.measurement.2008.03.009
Publication status	Published - 2008

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.measurement.2008.03.009

http://eprints.eemcs.utwente.nl/secure2/20021/01/pop2009measurements.pdf

Cite this

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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{\textquoteright}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.}",

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doi = "10.1016/j.measurement.2008.03.009",

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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

Y1 - 2008

N2 - 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.

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.

KW - CE-MI: Formerly in EWI-MI

KW - Li-ion batteriesState-of-ChargeOverpotential

KW - Overpotential

KW - Li-ion batteries

KW - EWI-20021

KW - IR-67916

KW - State-of-Charge

U2 - 10.1016/j.measurement.2008.03.009

DO - 10.1016/j.measurement.2008.03.009

M3 - Article

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JF - Measurement

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