This study focuses on a novel approach for estimating the state of charge of lithium-ion batteries utilizing the $\mathscr{H}_{\infty}$ algorithm, renowned for its robustness in handling uncertainties and modeling errors. By implementing a Lyapunov-Krasovskii functional approach and linear matrix inequality technique, a new criterion is presented for the solvability of battery dynamics developed in this paper. In order to show the effectiveness of the developed $\mathscr{H}_{\infty}$ criterion, a numerical example is explored, which implies that the proposed $\mathscr{H}_{\infty}$ observer design can accurately estimate the state of charge of the battery dynamics. Therefore, this algorithm is more resilient against disturbances and uncertainties, underlining its potential for accurate state of charge estimation - a critical metric for electric vehicle battery management. As a result, these findings enhance state of charge estimation in the battery systems and dependable battery operation in diverse application scenarios.


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    Title :

    A Robust H∞Observer Design for State of Charge Estimation of Lithium-Ion EV Batteries with Parametric Uncertainties


    Contributors:


    Publication date :

    2024-07-31


    Size :

    414982 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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