Capacity fade detection in lithium-ion batteries using non-linear frequency response analysis (NFRA) under multiple open-circuit voltages (OCVs)

Danial Sarwar; Chongming Wang; Tazdin Amietszajew; Cheng Zhang; Chitta Saha; Oliver Curnick

doi:10.1016/j.elecom.2022.107338

Capacity fade detection in lithium-ion batteries using non-linear frequency response analysis (NFRA) under multiple open-circuit voltages (OCVs)

Danial Sarwar, Chongming Wang, Tazdin Amietszajew, Cheng Zhang, Chitta Saha, Oliver Curnick

Centre for E-Mobility and Clean Growth

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

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Abstract

Determination of residual capacity, or ‘state of health’ (SOH), is important for the management of battery assets in service and when assessing batteries for re-use at the end of service. Nonlinear frequency response analysis (NFRA) has recently been demonstrated as a means to determine SOH, but the effects of temperature and state-of-charge (SOC) on battery NFRA measurements are not yet well understood. In this work, we investigate the effects of SOC on NFRA measurements performed on commercial 21700 cylindrical cells aged under different temperatures to various SOHs. Total harmonic distortion (THD%) is proposed as a capacity fade indicator. THD% in the range of 10 Hz–150 Hz are found to correlate well with SOH at all SOCs. For frequency < 1 Hz, the effect of aging on THD% is SOC dependent, with larger THDs for the new cell at low open-circuit voltages (OCVs) (2.75 V–3.2 V), and larger THDs for aged cells at higher OCVs (3.5 V–4.1 V). This work also demonstrates the feasibility of NFRA to distinguish between cells that have been aged differently based on temperature.

Original language	English
Article number	107338
Number of pages	7
Journal	Electrochemistry Communications
Volume	140
Early online date	1 Aug 2022
DOIs	https://doi.org/10.1016/j.elecom.2022.107338
Publication status	E-pub ahead of print - 1 Aug 2022

Bibliographical note

Funder

Funding Information: This research was supported by the Innovate UK (https://gtr.ukri.org/projects?ref = 104176 (accessed on 1 August 2021) under the project ‘CALIBRE—Custom Automotive Lithium-Ion Battery Recycling (Grant Reference Number: 104176)’, and the EPSRC project TRENDS (Grant Reference Number: EP/R020973/1). Publisher Copyright: © 2022 The Authors

Keywords

Lithium-ion battery
Nonlinear frequency response analysis
State of health
Harmonic distortions

ASJC Scopus subject areas

Electrochemistry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.elecom.2022.107338Licence: CC BY

PublishedFinal published version, 3.14 MBLicence: CC BY

Cite this

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title = "Capacity fade detection in lithium-ion batteries using non-linear frequency response analysis (NFRA) under multiple open-circuit voltages (OCVs)",

abstract = "Determination of residual capacity, or {\textquoteleft}state of health{\textquoteright} (SOH), is important for the management of battery assets in service and when assessing batteries for re-use at the end of service. Nonlinear frequency response analysis (NFRA) has recently been demonstrated as a means to determine SOH, but the effects of temperature and state-of-charge (SOC) on battery NFRA measurements are not yet well understood. In this work, we investigate the effects of SOC on NFRA measurements performed on commercial 21700 cylindrical cells aged under different temperatures to various SOHs. Total harmonic distortion (THD%) is proposed as a capacity fade indicator. THD% in the range of 10 Hz–150 Hz are found to correlate well with SOH at all SOCs. For frequency < 1 Hz, the effect of aging on THD% is SOC dependent, with larger THDs for the new cell at low open-circuit voltages (OCVs) (2.75 V–3.2 V), and larger THDs for aged cells at higher OCVs (3.5 V–4.1 V). This work also demonstrates the feasibility of NFRA to distinguish between cells that have been aged differently based on temperature.",

keywords = "Lithium-ion battery, Nonlinear frequency response analysis, State of health, Harmonic distortions",

author = "Danial Sarwar and Chongming Wang and Tazdin Amietszajew and Cheng Zhang and Chitta Saha and Oliver Curnick",

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AU - Sarwar, Danial

AU - Wang, Chongming

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AU - Zhang, Cheng

AU - Saha, Chitta

AU - Curnick, Oliver

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AB - Determination of residual capacity, or ‘state of health’ (SOH), is important for the management of battery assets in service and when assessing batteries for re-use at the end of service. Nonlinear frequency response analysis (NFRA) has recently been demonstrated as a means to determine SOH, but the effects of temperature and state-of-charge (SOC) on battery NFRA measurements are not yet well understood. In this work, we investigate the effects of SOC on NFRA measurements performed on commercial 21700 cylindrical cells aged under different temperatures to various SOHs. Total harmonic distortion (THD%) is proposed as a capacity fade indicator. THD% in the range of 10 Hz–150 Hz are found to correlate well with SOH at all SOCs. For frequency < 1 Hz, the effect of aging on THD% is SOC dependent, with larger THDs for the new cell at low open-circuit voltages (OCVs) (2.75 V–3.2 V), and larger THDs for aged cells at higher OCVs (3.5 V–4.1 V). This work also demonstrates the feasibility of NFRA to distinguish between cells that have been aged differently based on temperature.

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Capacity fade detection in lithium-ion batteries using non-linear frequency response analysis (NFRA) under multiple open-circuit voltages (OCVs)

Abstract

Bibliographical note

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Keywords

ASJC Scopus subject areas

UN SDGs

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