@inproceedings{b43d3ae02ca244cfbacf83ca86011cf8,
title = "Online identification of internal impedance of Li-ion battery using ternary-sequence injection",
abstract = "The internal impedance of a battery has been shown to change as a function of state-of-charge (SOC) and state-of-health (SOH). Therefore, online impedance measurements can provide useful information for SOC- and SOH-estimation algorithms. Broadband injections techniques such as pseudo-random-binary-sequence (PRBS) are attractive alternative for replacing conventional electrochemical-impedance-spectroscopy (EIS) which is very slow for online battery impedance measurements. However, non-linearities of batteries have a negative impact on the measurement results obtained by the PRBS for which the identified system is assumed to be linear. This paper demonstrates the use of ternary-sequence excitation signal for battery impedance measurements. Appropriately designed ternary-sequence can efficiently capture the linear component of the impedance by canceling out the distortion caused by the non-linear parts. The presented method can be used for rapid impedance measurements and thus, as a valuable tool in online SOC- and SOH-estimation algorithms. Experimental measurements are shown from a Lithium-Iron-Phosphate (LiFePO4) battery cell.",
author = "Jussi Sihvo and Tuomas Messo and Tomi Roinila and Roni Luhtala and Stroe, \{Daniel I.\}",
note = "jufoid=57394; IEEE Energy Conversion Congress and Exposition ; Conference date: 23-09-2018 Through 27-09-2018",
year = "2018",
month = dec,
day = "6",
doi = "10.1109/ECCE.2018.8558147",
language = "English",
publisher = "IEEE",
pages = "2705--2711",
booktitle = "The 10th Annual IEEE Energy Conversion Congress and Exposition (ECCE 2018)",
address = "United States",
}