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• W4384703532 abstract "A challenge that concerns many applications where energy storage devices are employed is the online and real-time estimate of the State of Charge (SoC) of batteries. Electrochemical Impedance Spectroscopy (EIS)-based methods are among the most used to estimate the battery SoC. In this work, a purely statistical approach has been proposed to search for correlations between the SoC and the impedance of the batteries. For this purpose, an experimental dataset consisting of 7 Lithium Iron Phosphate batteries was created, on which the Kernel Density Estimation technique was implemented. The obtained preliminary results have demonstrated the possibility of identifying correlations between some output parameters of the Kernel Density Estimation technique and the battery SoC." @default.
• W4384703532 created "2023-07-20" @default.
• W4384703532 creator A5027828841 @default.
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• W4384703532 date "2023-06-06" @default.
• W4384703532 modified "2023-09-25" @default.
• W4384703532 title "A Statistical Approach for Electrochemical Impedance Spectroscopy Analysis on LFP Batteries’ State of Charge" @default.
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• W4384703532 doi "https://doi.org/10.1109/metroind4.0iot57462.2023.10180131" @default.
• W4384703532 hasPublicationYear "2023" @default.
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