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Communication Dans Un Congrès Année : 2023

State estimation of an electrochemical Lithium-ion battery model: Improved observer performance by hybrid redesign

Résumé

Effective management and just-in-time maintenance of lithium-ion batteries require the knowledge of unmeasured (internal) variables that need to be estimated. Observers are thus designed for this purpose using a mathematical model of the battery internal dynamics. It appears that it is often difficult to tune the observers to obtain good estimation performances both in terms of convergence speed and accuracy, while these are essential in practice. In this context, we demonstrate how a recently developed hybrid multi-observer can be used to improve the performance of a given observer designed for an electrochemical model of a lihium-ion battery. Simulation results, obtained with standard parameters values, show the estimation performance improvement using the proposed method.
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Dates et versions

hal-04173199 , version 1 (28-07-2023)

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Citer

Elena Petri, Thomas Reynaudo, Romain Postoyan, Daniele Astolfi, Dragan Nesic, et al.. State estimation of an electrochemical Lithium-ion battery model: Improved observer performance by hybrid redesign. 21st European Control Conference, ECC'2023, Jun 2023, Bucharest, Romania. ⟨10.48550/arXiv.2304.09680⟩. ⟨hal-04173199⟩
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