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

doi:10.1109/ECCE.2018.8558147

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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

17 Citations (Scopus)

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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.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages	7
Publisher	IEEE Press
Publication date	Sept 2018
Pages	2705-2711
ISBN (Print)	978-1-4799-7313-2
ISBN (Electronic)	978-1-4799-7312-5
DOIs	https://doi.org/10.1109/ECCE.2018.8558147
Publication status	Published - Sept 2018
Event	IEEE Energy Conversion Congress & Exposition ECCE 2018 - Portland, United States Duration: 23 Sept 2018 → 27 Sept 2018 http://www.ieee-ecce.org/2018/

Conference

Conference	IEEE Energy Conversion Congress & Exposition ECCE 2018
Country/Territory	United States
City	Portland
Period	23/09/2018 → 27/09/2018
Internet address	http://www.ieee-ecce.org/2018/

Series	IEEE Energy Conversion Congress and Exposition
ISSN	2329-3721

Keywords

Li-ion batteries
Internal impedance
Online state estimation
PRBS
teranry-sequence
EIS

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10.1109/ECCE.2018.8558147

OnlineidentificationofinternalimpedanceofLi-ionbatterycellusingternary-sequenceinjectionAccepted author manuscript, 1.72 MB

https://ieeexplore.ieee.org/document/8558147

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Cite this

@inproceedings{1a34043465fb4ff198d88e1a6bda02aa,

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 = sep,

doi = "10.1109/ECCE.2018.8558147",

language = "English",

isbn = "978-1-4799-7313-2",

series = "IEEE Energy Conversion Congress and Exposition",

pages = "2705--2711",

booktitle = "Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)",

publisher = "IEEE Press",

note = "IEEE Energy Conversion Congress & Exposition ECCE 2018 ; Conference date: 23-09-2018 Through 27-09-2018",

url = "http://www.ieee-ecce.org/2018/",

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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. in Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, IEEE Energy Conversion Congress and Exposition, pp. 2705-2711, IEEE Energy Conversion Congress & Exposition ECCE 2018, Portland, Oregon, United States, 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 et al.
Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, 2018. p. 2705-2711 (IEEE Energy Conversion Congress and Exposition).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-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

T2 - IEEE Energy Conversion Congress & Exposition ECCE 2018

Y2 - 23 September 2018 through 27 September 2018

ER -

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

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