Enhancing accuracy of finite-dimensional models for lithium-ion batteries, observer design and experimental validation
Mira Khalil, Romain Postoyan, St\'ephane Ra\"el

TL;DR
This paper introduces a correction method for finite-dimensional electrochemical models of lithium-ion batteries, improving internal state estimation accuracy through observer design validated by numerical and experimental results.
Contribution
A novel correction technique for finite-dimensional models that enhances observer accuracy regardless of model order, supported by Lyapunov-based convergence analysis.
Findings
Improved state estimation accuracy with the proposed correction.
Robust convergence of observers demonstrated through Lyapunov analysis.
Experimental validation confirms enhanced model performance.
Abstract
Accurate estimation of the internal states of lithium-ion batteries is key towards improving their management for safety, efficiency and longevity purposes. Various approaches exist in the literature in this context, among which designing an observer based on an electrochemical model of the battery dynamics. With this approach, the performance of the observer depends on the accuracy of the considered model. It appears that electrochemical models, and thus their associated observer, typically require to be of high dimension to generate accurate internal variables. In this work, we present a method to mitigate this limitation by correcting the lithium concentrations generated by a general class of finite-dimensional electrochemical models such that they asymptotically match those generated by the original partial differential equations (PDE) they are based on, for constant input currents.…
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Taxonomy
TopicsAdvanced Battery Technologies Research · Stability and Control of Uncertain Systems · Advanced DC-DC Converters
