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Online identification of internal impedance of Li-ion battery using ternary-sequence injection

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Online identification of internal impedance of Li-ion battery using ternary-sequence injection. / Sihvo, Jussi; Messo, Tuomas; Roinila, Tomi; Luhtala, Roni; Stroe, Daniel I.

The 10th Annual IEEE Energy Conversion Congress and Exposition (ECCE 2018): September 23 – 27, 2018, Portland, Oregon, USA. IEEE, 2018. s. 2705-2711.

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Harvard

Sihvo, J, Messo, T, Roinila, T, Luhtala, R & Stroe, DI 2018, Online identification of internal impedance of Li-ion battery using ternary-sequence injection. julkaisussa The 10th Annual IEEE Energy Conversion Congress and Exposition (ECCE 2018): September 23 – 27, 2018, Portland, Oregon, USA. IEEE, Sivut 2705-2711, Portland, Yhdysvallat, 23/09/18. https://doi.org/10.1109/ECCE.2018.8558147

APA

Sihvo, J., Messo, T., Roinila, T., Luhtala, R., & Stroe, D. I. (2018). Online identification of internal impedance of Li-ion battery using ternary-sequence injection. teoksessa The 10th Annual IEEE Energy Conversion Congress and Exposition (ECCE 2018): September 23 – 27, 2018, Portland, Oregon, USA (Sivut 2705-2711). IEEE. https://doi.org/10.1109/ECCE.2018.8558147

Vancouver

Sihvo J, Messo T, Roinila T, Luhtala R, Stroe DI. Online identification of internal impedance of Li-ion battery using ternary-sequence injection. julkaisussa The 10th Annual IEEE Energy Conversion Congress and Exposition (ECCE 2018): September 23 – 27, 2018, Portland, Oregon, USA. IEEE. 2018. s. 2705-2711 https://doi.org/10.1109/ECCE.2018.8558147

Author

Sihvo, Jussi ; Messo, Tuomas ; Roinila, Tomi ; Luhtala, Roni ; Stroe, Daniel I. / Online identification of internal impedance of Li-ion battery using ternary-sequence injection. The 10th Annual IEEE Energy Conversion Congress and Exposition (ECCE 2018): September 23 – 27, 2018, Portland, Oregon, USA. IEEE, 2018. Sivut 2705-2711

Bibtex - Lataa

@inproceedings{b43d3ae02ca244cfbacf83ca86011cf8,
title = "Online identification of internal impedance of Li-ion battery using ternary-sequence injection",
abstract = "The internal impedance of a battery has been shown to change as a function of state-of-charge (SOC) and state-of-health (SOH). Therefore, online impedance measurements can provide useful information for SOC- and SOH-estimation algorithms. Broadband injections techniques such as pseudo-random-binary-sequence (PRBS) are attractive alternative for replacing conventional electrochemical-impedance-spectroscopy (EIS) which is very slow for online battery impedance measurements. However, non-linearities of batteries have a negative impact on the measurement results obtained by the PRBS for which the identified system is assumed to be linear. This paper demonstrates the use of ternary-sequence excitation signal for battery impedance measurements. Appropriately designed ternary-sequence can efficiently capture the linear component of the impedance by canceling out the distortion caused by the non-linear parts. The presented method can be used for rapid impedance measurements and thus, as a valuable tool in online SOC- and SOH-estimation algorithms. Experimental measurements are shown from a Lithium-Iron-Phosphate (LiFePO4) battery cell.",
author = "Jussi Sihvo and Tuomas Messo and Tomi Roinila and Roni Luhtala and Stroe, {Daniel I.}",
note = "jufoid=57394",
year = "2018",
month = "12",
day = "6",
doi = "10.1109/ECCE.2018.8558147",
language = "English",
publisher = "IEEE",
pages = "2705--2711",
booktitle = "The 10th Annual IEEE Energy Conversion Congress and Exposition (ECCE 2018)",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Online identification of internal impedance of Li-ion battery using ternary-sequence injection

AU - Sihvo, Jussi

AU - Messo, Tuomas

AU - Roinila, Tomi

AU - Luhtala, Roni

AU - Stroe, Daniel I.

N1 - jufoid=57394

PY - 2018/12/6

Y1 - 2018/12/6

N2 - The internal impedance of a battery has been shown to change as a function of state-of-charge (SOC) and state-of-health (SOH). Therefore, online impedance measurements can provide useful information for SOC- and SOH-estimation algorithms. Broadband injections techniques such as pseudo-random-binary-sequence (PRBS) are attractive alternative for replacing conventional electrochemical-impedance-spectroscopy (EIS) which is very slow for online battery impedance measurements. However, non-linearities of batteries have a negative impact on the measurement results obtained by the PRBS for which the identified system is assumed to be linear. This paper demonstrates the use of ternary-sequence excitation signal for battery impedance measurements. Appropriately designed ternary-sequence can efficiently capture the linear component of the impedance by canceling out the distortion caused by the non-linear parts. The presented method can be used for rapid impedance measurements and thus, as a valuable tool in online SOC- and SOH-estimation algorithms. Experimental measurements are shown from a Lithium-Iron-Phosphate (LiFePO4) battery cell.

AB - The internal impedance of a battery has been shown to change as a function of state-of-charge (SOC) and state-of-health (SOH). Therefore, online impedance measurements can provide useful information for SOC- and SOH-estimation algorithms. Broadband injections techniques such as pseudo-random-binary-sequence (PRBS) are attractive alternative for replacing conventional electrochemical-impedance-spectroscopy (EIS) which is very slow for online battery impedance measurements. However, non-linearities of batteries have a negative impact on the measurement results obtained by the PRBS for which the identified system is assumed to be linear. This paper demonstrates the use of ternary-sequence excitation signal for battery impedance measurements. Appropriately designed ternary-sequence can efficiently capture the linear component of the impedance by canceling out the distortion caused by the non-linear parts. The presented method can be used for rapid impedance measurements and thus, as a valuable tool in online SOC- and SOH-estimation algorithms. Experimental measurements are shown from a Lithium-Iron-Phosphate (LiFePO4) battery cell.

U2 - 10.1109/ECCE.2018.8558147

DO - 10.1109/ECCE.2018.8558147

M3 - Conference contribution

SP - 2705

EP - 2711

BT - The 10th Annual IEEE Energy Conversion Congress and Exposition (ECCE 2018)

PB - IEEE

ER -