Online parameter and state estimation of lithium-ion batteries under temperature effects

Abstract : In this paper, a hybrid estimation technique is proposed for lithium-ion batteries. This strategy makes use of state-space observer theory to reduce the complexity of the design and the stability analysis. However, the battery's parameters knowledge is required for the state-space model, which limits the performance as the battery's parameters vary. Therefore, an online parameter identification strategy is proposed to track the parameters deviation. The stability of the closed-loop estimation scheme is guaranteed by Lyapunov's direct method. Unlike other estimation techniques where temperature effects are ignored, this paper proposes a universal compensation strategy which can be used with many estimation algorithms available in the literature. The performance of the proposed scheme is validated through a set of experiments under different currents and temperatures along with comparison against an adaptive observer.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02157753
Contributeur : Christine Rouil <>
Soumis le : lundi 17 juin 2019 - 13:19:25
Dernière modification le : mercredi 17 juillet 2019 - 16:46:31

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Hicham Chaoui, Hamid Gualous. Online parameter and state estimation of lithium-ion batteries under temperature effects. Electric Power Systems Research, Elsevier, 2017, 145, pp.73-82. ⟨10.1016/j.epsr.2016.12.029⟩. ⟨hal-02157753⟩

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