Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries

Freja Vandeputte; Noel Hallemans; Jishnu Ayyangatu  Kuzhiyil; Nessa Fereshteh Saniee; Widanalage Dhammika Widanage; John Lataire

doi:10.1016/j.ifacol.2023.10.1803

Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries

Freja Vandeputte, Noel Hallemans, Jishnu Ayyangatu Kuzhiyil, Nessa Fereshteh Saniee, Widanalage Dhammika Widanage, John Lataire

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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Abstract

The impedance of a Li-ion battery contains information about its state of charge (SOC), state of health (SOH) and remaining useful life (RUL). Commonly, electrochemical impedance spectroscopy (EIS) is used as a nonparametric data-driven technique for estimating this impedance from current and voltage measurements. In this article, however, we propose a consistent parametric estimation method based on a fractional order equivalent circuit model (ECM) of the battery impedance. Contrary to the nonparametric impedance estimate, which is only defined at the discrete set of excited frequencies, the parametric estimate can be evaluated in every frequency of the frequency band of interest. Moreover, we are not limited to a single sine or multisine excitation signal. Instead, any persistently exciting signal, like for example a noise excitation signal, will suffice. The parametric estimation method is first validated on simulations and then applied to measurements of commercial Samsung 48X cells. For now, only batteries in rest, i.e. at a constant SOC after relaxation, are considered.

Original language	English
Title of host publication	22nd World Congress of the International Federation of Automatic Control
Editors	Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
Publisher	IFAC - PapersOnLine
Pages	4325-4330
Number of pages	6
Volume	56
Edition	2
ISBN (Print)	2405-8963
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.1803
Publication status	Published - Feb 2023
Event	IFAC World Congress 2023: The 22nd World Congress of the International Federation of Automatic Control - Yokohama, Japan Duration: 9 Jul 2023 → 14 Jul 2023 https://www.ifac2023.org/

Publication series

Name	IFAC-PapersOnLine
Number	2
Volume	56
ISSN (Electronic)	2405-8963

Conference

Conference	IFAC World Congress 2023
Country/Territory	Japan
City	Yokohama
Period	9/07/23 → 14/07/23
Internet address	https://www.ifac2023.org/

Bibliographical note

Publisher Copyright:
Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Keywords

Frequency domain identification
parametric estimation
data-driven modelling
Electrochemical Impedance Spectroscopy
Equivalent Circuit Model
fractional differential equation
Total Least Squares
Li-ion batteries

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Vandeputte, F., Hallemans, N., Kuzhiyil, J. A., Fereshteh Saniee, N., Widanage, W. D., & Lataire, J. (2023). Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries. In H. Ishii, Y. Ebihara, J. Imura, & M. Yamakita (Eds.), 22nd World Congress of the International Federation of Automatic Control (2 ed., Vol. 56, pp. 4325-4330). (IFAC-PapersOnLine; Vol. 56, No. 2). IFAC - PapersOnLine. https://doi.org/10.1016/j.ifacol.2023.10.1803

Vandeputte, Freja ; Hallemans, Noel ; Kuzhiyil, Jishnu Ayyangatu et al. / Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries. 22nd World Congress of the International Federation of Automatic Control . editor / Hideaki Ishii ; Yoshio Ebihara ; Jun-ichi Imura ; Masaki Yamakita. Vol. 56 2. ed. IFAC - PapersOnLine, 2023. pp. 4325-4330 (IFAC-PapersOnLine; 2).

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title = "Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries",

abstract = "The impedance of a Li-ion battery contains information about its state of charge (SOC), state of health (SOH) and remaining useful life (RUL). Commonly, electrochemical impedance spectroscopy (EIS) is used as a nonparametric data-driven technique for estimating this impedance from current and voltage measurements. In this article, however, we propose a consistent parametric estimation method based on a fractional order equivalent circuit model (ECM) of the battery impedance. Contrary to the nonparametric impedance estimate, which is only defined at the discrete set of excited frequencies, the parametric estimate can be evaluated in every frequency of the frequency band of interest. Moreover, we are not limited to a single sine or multisine excitation signal. Instead, any persistently exciting signal, like for example a noise excitation signal, will suffice. The parametric estimation method is first validated on simulations and then applied to measurements of commercial Samsung 48X cells. For now, only batteries in rest, i.e. at a constant SOC after relaxation, are considered.",

keywords = "Frequency domain identification, parametric estimation, data-driven modelling, Electrochemical Impedance Spectroscopy, Equivalent Circuit Model, fractional differential equation, Total Least Squares, Li-ion batteries",

author = "Freja Vandeputte and Noel Hallemans and Kuzhiyil, {Jishnu Ayyangatu} and {Fereshteh Saniee}, Nessa and Widanage, {Widanalage Dhammika} and John Lataire",

note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); IFAC World Congress 2023 : The 22nd World Congress of the International Federation of Automatic Control ; Conference date: 09-07-2023 Through 14-07-2023",

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Vandeputte, F, Hallemans, N, Kuzhiyil, JA, Fereshteh Saniee, N, Widanage, WD & Lataire, J 2023, Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries. in H Ishii, Y Ebihara, J Imura & M Yamakita (eds), 22nd World Congress of the International Federation of Automatic Control . 2 edn, vol. 56, IFAC-PapersOnLine, no. 2, vol. 56, IFAC - PapersOnLine, pp. 4325-4330, IFAC World Congress 2023, Yokohama, Japan, 9/07/23. https://doi.org/10.1016/j.ifacol.2023.10.1803

Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries. / Vandeputte, Freja; Hallemans, Noel; Kuzhiyil, Jishnu Ayyangatu et al.
22nd World Congress of the International Federation of Automatic Control . ed. / Hideaki Ishii; Yoshio Ebihara; Jun-ichi Imura; Masaki Yamakita. Vol. 56 2. ed. IFAC - PapersOnLine, 2023. p. 4325-4330 (IFAC-PapersOnLine; Vol. 56, No. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

TY - GEN

T1 - Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries

AU - Vandeputte, Freja

AU - Hallemans, Noel

AU - Kuzhiyil, Jishnu Ayyangatu

AU - Fereshteh Saniee, Nessa

AU - Widanage, Widanalage Dhammika

AU - Lataire, John

PY - 2023/2

Y1 - 2023/2

N2 - The impedance of a Li-ion battery contains information about its state of charge (SOC), state of health (SOH) and remaining useful life (RUL). Commonly, electrochemical impedance spectroscopy (EIS) is used as a nonparametric data-driven technique for estimating this impedance from current and voltage measurements. In this article, however, we propose a consistent parametric estimation method based on a fractional order equivalent circuit model (ECM) of the battery impedance. Contrary to the nonparametric impedance estimate, which is only defined at the discrete set of excited frequencies, the parametric estimate can be evaluated in every frequency of the frequency band of interest. Moreover, we are not limited to a single sine or multisine excitation signal. Instead, any persistently exciting signal, like for example a noise excitation signal, will suffice. The parametric estimation method is first validated on simulations and then applied to measurements of commercial Samsung 48X cells. For now, only batteries in rest, i.e. at a constant SOC after relaxation, are considered.

AB - The impedance of a Li-ion battery contains information about its state of charge (SOC), state of health (SOH) and remaining useful life (RUL). Commonly, electrochemical impedance spectroscopy (EIS) is used as a nonparametric data-driven technique for estimating this impedance from current and voltage measurements. In this article, however, we propose a consistent parametric estimation method based on a fractional order equivalent circuit model (ECM) of the battery impedance. Contrary to the nonparametric impedance estimate, which is only defined at the discrete set of excited frequencies, the parametric estimate can be evaluated in every frequency of the frequency band of interest. Moreover, we are not limited to a single sine or multisine excitation signal. Instead, any persistently exciting signal, like for example a noise excitation signal, will suffice. The parametric estimation method is first validated on simulations and then applied to measurements of commercial Samsung 48X cells. For now, only batteries in rest, i.e. at a constant SOC after relaxation, are considered.

KW - Frequency domain identification

KW - parametric estimation

KW - data-driven modelling

KW - Electrochemical Impedance Spectroscopy

KW - Equivalent Circuit Model

KW - fractional differential equation

KW - Total Least Squares

KW - Li-ion batteries

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U2 - 10.1016/j.ifacol.2023.10.1803

DO - 10.1016/j.ifacol.2023.10.1803

M3 - Conference paper

SN - 2405-8963

VL - 56

T3 - IFAC-PapersOnLine

SP - 4325

EP - 4330

BT - 22nd World Congress of the International Federation of Automatic Control

A2 - Ishii, Hideaki

A2 - Ebihara, Yoshio

A2 - Imura, Jun-ichi

A2 - Yamakita, Masaki

PB - IFAC - PapersOnLine

T2 - IFAC World Congress 2023

Y2 - 9 July 2023 through 14 July 2023

ER -

Vandeputte F, Hallemans N, Kuzhiyil JA, Fereshteh Saniee N, Widanage WD, Lataire J. Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries. In Ishii H, Ebihara Y, Imura J, Yamakita M, editors, 22nd World Congress of the International Federation of Automatic Control . 2 ed. Vol. 56. IFAC - PapersOnLine. 2023. p. 4325-4330. (IFAC-PapersOnLine; 2). doi: 10.1016/j.ifacol.2023.10.1803

Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries

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Keywords

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