Nonlinear frequency response analysis on lithium-ion batteries: Process identification and differences between transient and steady-state behavior

Wolff, Nicolas; Harting, Nina; Heinrich, Marco; Krewer, Ulrike

doi:10.1016/j.electacta.2018.12.107

Cited by 28 publications

(10 citation statements)

References 26 publications

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“…In addition, the clear interpretation of spectra requires physical models of the electrochemical systems. A robust correlation between Y n and certain physical meaning or physicochemical processes should be constructed if they are used as indicators for certain degradation mechanisms. − …”

Section: Eis Measurementmentioning

confidence: 99%

Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries

Peng

Wei³

et al. 2023

J. Phys. Chem. C

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An in-depth understanding of battery degradation and aging in-Operando not only plays a vital role in the design of battery managing systems but also helps to ensure safe use and manufacturing optimization of lithium-ion batteries (LIBs) in large-scale applications. Electrochemical impedance spectroscopy (EIS) is a nondestructive method which unravels electrode kinetic processes inside the batteries in different time domains, including charge-transfer reactions, interfacial evolutions, and mass diffusions. It has become a powerful diagnosis and pre/prognosis tool in battery aging research, as it provides important insight into the changes of internal electrochemical processes by correlating the impedance evolution to degradation mechanisms. This review gives a critical overview on rapidly developing impedance techniques for degradation and aging investigation of Li-ion batteries. The EIS variations of LIBs at different aging conditions of calendar aging and accelerated aging are systematically summarized. In addition, the working principles, data validation, and modeling methods, including equivalent circuit model (ECM), distribution of relaxation times (DRT), and transmission line model (TLM), of classical EIS and dynamic EIS are elaborately concluded. Finally, the challenges and perspectives of further application of EIS in the aging research of LIBs are presented.

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Section: Eis Measurementmentioning

confidence: 99%

Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries

Peng

Wei³

et al. 2023

J. Phys. Chem. C

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“…The presence of significant nonlinear responses in the frequency range 0.1 Hz-2 Hz strengthens the inference that the EIS response in this frequency range is attributable to the charge transfer process for Li insertion in one or both electrode active materials. An increase in the nonlinear response in turn can be correlated to worsening charge transfer kinetics of the Li-ion cell, as has been illustrated by mechanistic modelling studies [57]. As the amplitudes of both Y 2 and Y 3 show a stronger increase during ageing at higher SOC, the high SOC and low frequency range appears to be most suitable for correlating NFR signals to the SOH fade.…”

Section: Life-cycle Test Data Set and Qualitative Observationsmentioning

confidence: 85%

“…The frequency range has a lower bound of 10 −1 Hz to avoid drift in the cell state over longer measurement durations [57].…”

Section: Battery Testing Protocolsmentioning

confidence: 99%

Comparison of Methodologies to Estimate State-of-Health of Commercial Li-Ion Cells from Electrochemical Frequency Response Data

Chan¹,

Dickinson

Heins³

et al. 2022

SSRN Journal

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“…This distorted output response can then be transformed to the frequency domain by applying Fast-Fourier Transform (FFT), which will contain higher-order harmonics H n where n > 1 [5]. Recently, NFRA has been demonstrated in lithium-ion batteries for process identification [6], SOH diagnosis [1,[7][8][9] and lithium plating detection [10]. NFRA (also as Total harmonic distortion) has also been extensively used in other research fields e.g.…”

Section: Introductionmentioning

confidence: 99%

Capacity Fade Detection in Lithium-Ion Batteries Using Non-Linear Frequency Response Analysis(Nfra) Under Multiple Open-Circuit Voltages (Ocvs)

Sarwar,

Wang,

Amietszajew

et al. 2022

SSRN Journal

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Nonlinear frequency response analysis on lithium-ion batteries: Process identification and differences between transient and steady-state behavior

Cited by 28 publications

References 26 publications

Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries

Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries

Comparison of Methodologies to Estimate State-of-Health of Commercial Li-Ion Cells from Electrochemical Frequency Response Data

Capacity Fade Detection in Lithium-Ion Batteries Using Non-Linear Frequency Response Analysis(Nfra) Under Multiple Open-Circuit Voltages (Ocvs)

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