Identifiability of generalised Randles circuit models
For researchers using Randles circuits in electrochemical and biomedical applications, this work clarifies parameter identifiability, though it is an incremental theoretical contribution.
This paper proves that generalised Randles circuit models are structurally locally identifiable and discusses conditions for global identifiability, validated through simulations.
The Randles circuit (including a parallel resistor and capacitor in series with another resistor) and its generalised topology have widely been employed in electrochemical energy storage systems such as batteries, fuel cells and supercapacitors, also in biomedical engineering, for example, to model the electrode-tissue interface in electroencephalography and baroreceptor dynamics. This paper studies identifiability of generalised Randles circuit models, that is, whether the model parameters can be estimated uniquely from the input-output data. It is shown that generalised Randles circuit models are structurally locally identifiable. The condition that makes the model structure globally identifiable is then discussed. Finally, the estimation accuracy is evaluated through extensive simulations.