@inproceedings{5319956990194e76a681b9be43594e48,
title = "Fast-Settling Onboard Electrochemical Impedance Spectroscopy System Adopting Two-Stage Hilbert Transform",
abstract = "Electrochemical impedance spectroscopy (EIS) is a non-invasive method for analyzing battery states based on impedance measurements. With the widespread use of high-capacity lithium-ion batteries in the range of mΩ impedance, achieving highly accurate impedance measurements becomes crucial for precise battery examination. EIS systems frequently utilize a digital lock-in amplifier (DLIA) to achieve ultra-precision impedance readings, but it requires a long settling time. This study proposes an innovative EIS architecture with a two-stage Hilbert transform that significantly reduces the measurement time by widening the bandwidth of noise suppression low-pass filter while maintaining high accuracy. It achieves a substantial 66\% reduction in the estimated settling time at the lower bound frequency of 1 Hz and a 57\% reduction in the total measurement time across the frequency range of 1-to-1k Hz.",
keywords = "battery management, Electrochemical impedance spectroscopy, Hilbert transform, measurement time",
author = "Lee, \{Young Nam\} and Jung, \{Min Jae\} and Jo, \{Seong Won\} and Gul Rahim and Lee, \{Sang Gug\} and Choi, \{Kyung Sik\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 ; Conference date: 16-10-2023 Through 19-10-2023",
year = "2023",
doi = "10.1109/IECON51785.2023.10312107",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
booktitle = "IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society",
}
