About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Aluminum Reduction Technology
|
| Presentation Title |
System Identification Applied to the Modelling of Electrolysis Cells |
| Author(s) |
Gustavo Alejandro Ospina Aldana, Steven Psaltis, Geoffrey Will, Theodore A. Steinberg, Thomas Rainey, Lucas Oldfield |
| On-Site Speaker (Planned) |
Gustavo Alejandro Ospina Aldana |
| Abstract Scope |
Electrochemical systems, including Hall-Héroult cells, have been 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 input, 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. They 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 model electrochemical systems has not been explored extensively. This study applies system identification techniques to extract transfer functions from an experimental acidic water electrolyser with varying electrolyte compositions, revealing both challenges and opportunities for monitoring electrolysis systems. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Aluminum, Modeling and Simulation, Other |