System Identification Applied to the Modelling of Electrolysis Cells

Gustavo Ospina-Aldana; Steven Psaltis; Geoffrey Will; Theodore A. Steinberg; Thomas Rainey; Lucas Oldfield; Alistair Gillespie

doi:10.1007/978-3-032-13832-3_92

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System Identification Applied to the Modelling of Electrolysis Cells

Conference paper

Peer reviewed

System Identification Applied to the Modelling of Electrolysis Cells

Gustavo Ospina-Aldana, Steven Psaltis, Geoffrey Will, Theodore A. Steinberg, Thomas Rainey, Lucas Oldfield and Alistair Gillespie

Light Metals, 2026 Conference Proceedings, pp.707-714

The Minerals, Metals & Materials Society (TMS) Annual Meeting & Exhibition, 155th (San Diego, United States, 15-Mar-2026–19-Mar-2026)

The Minerals, Metals & Materials Series, Springer

2026

DOI: https://doi.org/10.1007/978-3-032-13832-3_92

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Abstract

Electrochemical impedance spectroscopy

Electrolysis

Electrolyte composition

Equivalent electric circuit

Transfer function

Electrochemical systems, including Hall-Héroult cells, are studied using equivalent circuit models to analyse their electrochemical response. These models typically consist of resistive and capacitive elements representing electrolyte resistance, charge transfer resistance, diffusion processes, and double-layer capacitance. Electric circuit modelling requires manual inputs, including the selection of appropriate circuit configurations and the iterative fitting of different models. Transfer functions offer an alternative by mathematically describing how dynamic systems respond to inputs in the frequency domain and are commonly used in control theory and signal processing to assess system stability and response. This modelling approach can reduce subjective decisions in representing electrochemical cells. Despite its potential, the application of transfer functions to the modelling of electrochemical systems has not been extensively explored. This study applies system identification techniques to extract transfer functions from an experimental acidic water electrolyser with varying electrolyte compositions, revealing both the challenges and opportunities for monitoring electrolysis systems with this technique.

Details

Title: System Identification Applied to the Modelling of Electrolysis Cells
Authors: Gustavo Ospina-Aldana (Corresponding Author) - Queensland University of Technology
Steven Psaltis - Queensland University of Technology
Geoffrey Will - University of the Sunshine Coast
Theodore A. Steinberg - Queensland University of Technology
Thomas Rainey - Queensland University of Technology
Lucas Oldfield - Rio Tinto (Australia)
Alistair Gillespie - Rio Tinto (Australia)
Contributors: Roberto Seno (Editor) - Companhia Brasileira de Aluminio
Publication details: Light Metals, 2026 Conference Proceedings, pp.707-714
Conference details: The Minerals, Metals & Materials Society (TMS) Annual Meeting & Exhibition, 155th (San Diego, United States, 15-Mar-2026–19-Mar-2026)
Series: The Minerals, Metals & Materials Series
Publisher: Springer
Date published: 2026
DOI: 10.1007/978-3-032-13832-3_92; 10.1007/978-3-032-13832-3
ISSN: 2367-1696
Organisation Unit: School of Science, Technology and Engineering
Language: English
Record Identifier: 991228961702621
Output Type: Conference paper

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