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On Physical Modeling of Lithium-Ion Cells and Adaptive Estimation of their State-of-Charge

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Abstract

We address the problems of physical modeling and model-based adaptive observation of state-of-charge in lithium-ion batteries. The model is derived proceeding from electrochemical first principles. Two adaptive observers with guaranteed stability properties, under practically reasonable assumptions, are proposed. Simulations on a lithium iron-phosphate (LiFePo) cell to illustrate the advantages and limitations of the proposed observers are presented.
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Dates and versions

hal-01981071 , version 1 (14-01-2019)

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Daniele Zonetti, Bowen Yi, Stanislav Aranovskiy, Denis Efimov, Romeo Ortega, et al.. On Physical Modeling of Lithium-Ion Cells and Adaptive Estimation of their State-of-Charge. 57th IEEE Conference on Decision and Control (CDC 2018), Dec 2018, Miami Beach, United States. ⟨10.1109/cdc.2018.8619415⟩. ⟨hal-01981071⟩
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