Electrochemical Impedance Spectroscopy (EIS) measurements of Hybrid Supercapacitor
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https://figshare.com/articles/dataset/Electrochemical_Impedance_Spectroscopy_EIS_measurements_of_Hybrid_Supercapacitor/24321496
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Hybrid Supercapacitors (HSC) are innovative energy storage solutions that are becoming essential in many fields of applications, like automotive, aerospace and consumer electronics. Their performances are strongly influenced by several parameters, such as temperature conditions, load characteristics and State-Of-Charge (SOC). For this reason, it is becoming fundamental to characterize their performances under different scenarios.
One of the best ways to investigate the performances is by employing the Electrochemical Impedance Spectroscopy (EIS) measurement. However, since HSC is a recent technology, databases and studies focused on impedance analysis are not currently available in the literature.
For this reason, this work presents the results of a large measurement campaign carried out to acquire impedance data on a large frequency range (from 1 mHz to 100 kHz) under 8 different operating temperatures and 6 different operating SOC conditions.
The constructed dataset has been used to investigate impedance anomalies and to analyze the effects that temperatures and SOC may have on the HSC impedance in the following paper: "M. Catelani, L. Ciani, F. Corti, M. Laschi, G. Patrizi, A. Reatti, D. Vangi, “Experimental characterization of Hybrid Supercapacitor under different operating conditions using EIS Measurements”, IEEE Trans. Instrum. Meas., Article Sequence Number: 3503210, vol. 73, 2024".
The obtained dataset can also be used for diagnostic and prognostic purposes, as well as for battery-supercapacitor comparison, SOC estimation, and safety zone identification.
If using this dataset in a publication, please kindly cite: "M. Catelani, L. Ciani, F. Corti, M. Laschi, G. Patrizi, A. Reatti, D. Vangi, “Experimental characterization of Hybrid Supercapacitor under different operating conditions using EIS Measurements”, IEEE Trans. Instrum. Meas., Article Sequence Number: 3503210, Vol. 73, 2024, DOI: 10.1109/TIM.2023.3329094 ".
Publication link: https://ieeexplore.ieee.org/document/10304173
If you have any question about the dataset or how to use it , please feel free to contact Gabriele Patrizi at the following e mail address: gabriele.patrizi@unifi.it
创建时间:
2023-10-17



