2020/12/03 by Ross Drummond, Stephen Duncan, Drummond, Ross +1 · 1 citation
Engineering · #Advanced Battery Technologies Research #Advancements in Battery Materials #FOS: Electrical engineering #Fuel Cells and Related Materials #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2012.01853
openalex publication_date 2020/12/03 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Growing demand for fast charging and optimised battery designs is fuelling\nsignificant interest in electrochemical models of Li-ion batteries. However,\nestimating parameter values for these models remains a major challenge. In this\npaper, a structural identifiability analysis was applied to a pseudo-2D Li-ion\nelectrochemical battery model that can be considered as a linearised and\ndecoupled form of the benchmark Doyle-Fuller-Newman model. From an inspection\nof the impedance function, it was shown that this model is uniquely\nparametrised by 21 parameters, being combinations of the electrochemical\nparameters like the conductivities and diffusion coefficients. The\nwell-posedness of the parameter estimation problem with these parameters was\nthen established. This result could lead to more realistic predictions about\nthe internal state of the battery by identifying the parameter set that can be\nuniquely identified from the data.\n