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 proceedingConference 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 languageEnglish
Title of host publication22nd World Congress of the International Federation of Automatic Control
EditorsHideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
PublisherIFAC - PapersOnLine
Pages4325-4330
Number of pages6
Volume56
Edition2
ISBN (Print)2405-8963
DOIs
Publication statusPublished - Feb 2023
EventIFAC World Congress 2023: The 22nd World Congress of the International Federation of Automatic Control - Yokohama, Japan
Duration: 9 Jul 202314 Jul 2023
https://www.ifac2023.org/

Publication series

NameIFAC-PapersOnLine
Number2
Volume56
ISSN (Electronic)2405-8963

Conference

ConferenceIFAC World Congress 2023
Country/TerritoryJapan
CityYokohama
Period9/07/2314/07/23
Internet address

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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