Accuracy analysis of the State-of-Charge and remaining run-time determination for lithium-ion batteries
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 meas...
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| Vydané v: | Measurement : journal of the International Measurement Confederation Ročník 42; číslo 8; s. 1131 - 1138 |
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| Médium: | Journal Article |
| Jazyk: | English |
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01.10.2009
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| ISSN: | 0263-2241, 1873-412X |
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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 book-keeping 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 run-time can be obtained. |
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| AbstractList | 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 book-keeping 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 run-time can be obtained. 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 book-keeping 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 run-time can be obtained. |
| Author | Notten, P.H.L. Op het Veld, J.H.G. Bergveld, H.J. Regtien, P.P.L. Pop, V. |
| Author_xml | – sequence: 1 givenname: V. surname: Pop fullname: Pop, V. email: Valer.Pop@imec-nl.nl organization: IMEC Netherlands, Eindhoven, The Netherlands – sequence: 2 givenname: H.J. surname: Bergveld fullname: Bergveld, H.J. email: henkjan.bergveld@nxp.com organization: NXP Semiconductors, Eindhoven, The Netherlands – sequence: 3 givenname: P.H.L. surname: Notten fullname: Notten, P.H.L. email: peter.notten@philips.com, peter.notten@tue.nl organization: Philips Research Laboratories, Eindhoven, The Netherlands – sequence: 4 givenname: J.H.G. surname: Op het Veld fullname: Op het Veld, J.H.G. email: bert.op.het.veld@philips.com organization: Philips Research Laboratories, Eindhoven, The Netherlands – sequence: 5 givenname: P.P.L. surname: Regtien fullname: Regtien, P.P.L. email: P.P.L.Regtien@ewi.utwente.nl organization: University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science, P.O. Box 217, 7500 AE Enschede, The Netherlands |
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| Title | Accuracy analysis of the State-of-Charge and remaining run-time determination for lithium-ion batteries |
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