LAPSE:2023.23105
Published Article

LAPSE:2023.23105
Broadband Impedance Measurement of Lithium-Ion Battery in the Presence of Nonlinear Distortions
March 27, 2023
Abstract
The impedance of a Lithium-ion (Li-ion) battery has been shown to be a valuable tool in evaluating the battery characteristics such as the state-of-charge (SOC) and state-of-health (SOH). Recent studies have shown impedance-measurement methods based on broadband pseudo-random sequences (PRS) and Fourier techniques. The methods can be efficiently applied in real-time applications where the conventional electrochemical-impedance spectroscopy (EIS) is not well suited to measure the impedance. The techniques based on the PRS are, however, strongly affected by the battery nonlinearities. This paper presents the use of a direct-synthesis ternary (DST) signal to minimize the effect caused by the nonlinearities. In such a signal, the second- and third-order harmonics are suppressed from the signal energy spectrum. As a result, the effect of the second- and third-order nonlinearities are suppressed from the impedance measurements. The impedance measurements are carried out for a nickel manganese cobalt Li-ion battery cell. The performance of the method is compared to the conventional EIS, as well as to other PRS signals which are more prone to battery nonlinearities. The Kronig−Kramers (K−K) transformation test is used to validate the uniqueness of the measured impedance spectra. It is shown that the measurement method based on the DST produces highly accurate impedance measurements under nonlinear distortions of the battery. The method shows a good K−K test behavior indicating that the measured impedance complies well to a linearized equivalent circuit model that can be used for the SOC and SOH estimation of the battery. Due to the good performance, low measurement time, and simplicity of the DST, the method is well suited for practical battery applications.
The impedance of a Lithium-ion (Li-ion) battery has been shown to be a valuable tool in evaluating the battery characteristics such as the state-of-charge (SOC) and state-of-health (SOH). Recent studies have shown impedance-measurement methods based on broadband pseudo-random sequences (PRS) and Fourier techniques. The methods can be efficiently applied in real-time applications where the conventional electrochemical-impedance spectroscopy (EIS) is not well suited to measure the impedance. The techniques based on the PRS are, however, strongly affected by the battery nonlinearities. This paper presents the use of a direct-synthesis ternary (DST) signal to minimize the effect caused by the nonlinearities. In such a signal, the second- and third-order harmonics are suppressed from the signal energy spectrum. As a result, the effect of the second- and third-order nonlinearities are suppressed from the impedance measurements. The impedance measurements are carried out for a nickel manganese cobalt Li-ion battery cell. The performance of the method is compared to the conventional EIS, as well as to other PRS signals which are more prone to battery nonlinearities. The Kronig−Kramers (K−K) transformation test is used to validate the uniqueness of the measured impedance spectra. It is shown that the measurement method based on the DST produces highly accurate impedance measurements under nonlinear distortions of the battery. The method shows a good K−K test behavior indicating that the measured impedance complies well to a linearized equivalent circuit model that can be used for the SOC and SOH estimation of the battery. Due to the good performance, low measurement time, and simplicity of the DST, the method is well suited for practical battery applications.
Record ID
Keywords
impedance measurements, Li-ion batteries testing, pseudo random sequences
Subject
Suggested Citation
Sihvo J, Roinila T, Stroe DI. Broadband Impedance Measurement of Lithium-Ion Battery in the Presence of Nonlinear Distortions. (2023). LAPSE:2023.23105
Author Affiliations
Sihvo J: Department of Electrical Engineering, Tampere University, Korkeakoulunkatu 7, 33720 Tampere, Finland [ORCID]
Roinila T: Department of Electrical Engineering, Tampere University, Korkeakoulunkatu 7, 33720 Tampere, Finland [ORCID]
Stroe DI: Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, 9220 Aalborg, Denmark [ORCID]
Roinila T: Department of Electrical Engineering, Tampere University, Korkeakoulunkatu 7, 33720 Tampere, Finland [ORCID]
Stroe DI: Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, 9220 Aalborg, Denmark [ORCID]
Journal Name
Energies
Volume
13
Issue
10
Article Number
E2493
Year
2020
Publication Date
2020-05-15
ISSN
1996-1073
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Original Submission
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PII: en13102493, Publication Type: Journal Article
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LAPSE:2023.23105
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https://doi.org/10.3390/en13102493
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Mar 27, 2023
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