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Growing demand for fast charging and optimised battery designs is fuellingsignificant interest in electrochemical models of Li-ion batteries. However,estimating parameter values for these models remains a major challenge. In thispaper, a structural identifiability analysis was applied to a pseudo-2D Li-ionelectrochemical battery model that can be considered as a linearised anddecoupled form of the benchmark Doyle-Fuller-Newman model. From an inspectionof the impedance function, it was shown that this model is uniquelyparametrised by 21 parameters, being combinations of the electrochemicalparameters like the conductivities and diffusion coefficients. Thewell-posedness of the parameter estimation problem with these parameters wasthen established. This result could lead to more realistic predictions aboutthe internal state of the battery by identifying the parameter set that can beuniquely identified from the data.

Structural Identifiability of a Pseudo-2D Li-ion Battery Electrochemical Model