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• W3153199334 abstract "Growing demand for fast charging and optimised battery designs is fuelling significant interest in electrochemical models of Li-ion batteries. However, estimating parameter values for these models remains a major challenge. In this paper, a structural identifiability analysis was applied to a pseudo-2D Li-ion electrochemical battery model that can be considered as a linearised and decoupled form of the benchmark Doyle-Fuller-Newman model. From an inspection of the impedance function, it was shown that this model is uniquely parametrised by 21 parameters, being combinations of the electrochemical parameters like the conductivities and diffusion coefficients. The well-posedness of the parameter estimation problem with these parameters was then established. This result could lead to more realistic predictions about the internal state of the battery by identifying the parameter set that can be uniquely identified from the data." @default.
• W3153199334 created "2021-04-26" @default.
• W3153199334 creator A5038299471 @default.
• W3153199334 creator A5064818238 @default.
• W3153199334 date "2020-01-01" @default.
• W3153199334 modified "2023-10-14" @default.
• W3153199334 title "Structural Identifiability of a Pseudo-2D Li-ion Battery Electrochemical Model" @default.
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• W3153199334 doi "https://doi.org/10.1016/j.ifacol.2020.12.1328" @default.
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