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

Jussi Sihvo, Tuomas Messo, Tomi Roinila, Roni Luhtala, Daniel-Ioan Stroe

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Resumé

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.
OriginalsprogEngelsk
TitelProceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
Antal sider7
ForlagIEEE Press
Publikationsdatosep. 2018
Sider2705-2711
ISBN (Trykt)978-1-4799-7313-2
ISBN (Elektronisk)978-1-4799-7312-5
DOI
StatusUdgivet - sep. 2018
BegivenhedIEEE Energy Conversion Congress & Exposition ECCE 2018 - Portland, USA
Varighed: 23 sep. 201827 sep. 2018
http://www.ieee-ecce.org/2018/

Konference

KonferenceIEEE Energy Conversion Congress & Exposition ECCE 2018
LandUSA
ByPortland
Periode23/09/201827/09/2018
Internetadresse
NavnIEEE Energy Conversion Congress and Exposition
ISSN2329-3721

Fingerprint

Binary sequences
Health
Electrochemical impedance spectroscopy
Lithium-ion batteries
Phosphates
Lithium
Iron

Citer dette

Sihvo, J., Messo, T., Roinila, T., Luhtala, R., & Stroe, D-I. (2018). Online identification of internal impedance of Li-ion battery cell using ternary-sequence injection. I Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE) (s. 2705-2711). IEEE Press. IEEE Energy Conversion Congress and Exposition https://doi.org/10.1109/ECCE.2018.8558147
Sihvo, Jussi ; Messo, Tuomas ; Roinila, Tomi ; Luhtala, Roni ; Stroe, Daniel-Ioan. / Online identification of internal impedance of Li-ion battery cell using ternary-sequence injection. Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, 2018. s. 2705-2711 (IEEE Energy Conversion Congress and Exposition).
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title = "Online identification of internal impedance of Li-ion battery cell 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.",
keywords = "Li-ion batteries, Internal impedance, Online state estimation, PRBS, teranry-sequence, EIS",
author = "Jussi Sihvo and Tuomas Messo and Tomi Roinila and Roni Luhtala and Daniel-Ioan Stroe",
year = "2018",
month = "9",
doi = "10.1109/ECCE.2018.8558147",
language = "English",
isbn = "978-1-4799-7313-2",
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Sihvo, J, Messo, T, Roinila, T, Luhtala, R & Stroe, D-I 2018, Online identification of internal impedance of Li-ion battery cell using ternary-sequence injection. i Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, IEEE Energy Conversion Congress and Exposition, s. 2705-2711, IEEE Energy Conversion Congress & Exposition ECCE 2018, Portland, USA, 23/09/2018. https://doi.org/10.1109/ECCE.2018.8558147

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

Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, 2018. s. 2705-2711 (IEEE Energy Conversion Congress and Exposition).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

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

AU - Sihvo, Jussi

AU - Messo, Tuomas

AU - Roinila, Tomi

AU - Luhtala, Roni

AU - Stroe, Daniel-Ioan

PY - 2018/9

Y1 - 2018/9

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.

KW - Li-ion batteries

KW - Internal impedance

KW - Online state estimation

KW - PRBS

KW - teranry-sequence

KW - EIS

U2 - 10.1109/ECCE.2018.8558147

DO - 10.1109/ECCE.2018.8558147

M3 - Article in proceeding

SN - 978-1-4799-7313-2

T3 - IEEE Energy Conversion Congress and Exposition

SP - 2705

EP - 2711

BT - Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)

PB - IEEE Press

ER -

Sihvo J, Messo T, Roinila T, Luhtala R, Stroe D-I. Online identification of internal impedance of Li-ion battery cell using ternary-sequence injection. I Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press. 2018. s. 2705-2711. (IEEE Energy Conversion Congress and Exposition). https://doi.org/10.1109/ECCE.2018.8558147