Operando odd random phase electrochemical impedance spectroscopy for in situ monitoring of the anodizing process

Havigh, Meisam Dabiri; Wouters, Benny; Hallemans, Noël; Claessens, Raf; Lataire, John; Terryn, Herman; Hubin, Annick

doi:10.1016/j.elecom.2022.107268

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…This key information allows to build up an integrated methodology where one can acquire reliable experimental data, propose a satisfactory model, and investigate the model validity by comparing the residuals of the fitting to the noise levels. The state of the art on ORP-EIS corroborates its profound theoretical and instrumental development [9][10][11][12][13][14][15][16][17]. Van Gheem et al employed this technique as a strategy to study the pitting corrosion of aluminium in aerated sodium chloride solution [9,10].…”

Section: Introductionmentioning

confidence: 89%

An ORP-EIS approach to distinguish the contribution of the buried interface to the electrochemical behaviour of coated aluminium

Madelat

Wouters

Jiryaeisharahi

et al. 2023

Electrochimica Acta

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Section: Introductionmentioning

confidence: 89%

An ORP-EIS approach to distinguish the contribution of the buried interface to the electrochemical behaviour of coated aluminium

Madelat

Wouters

Jiryaeisharahi

et al. 2023

Electrochimica Acta

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“…The operando ORP-EIS excitation signal consists of the sum of a DC current and an ORP multisine [28][29][30]. The DC current drives the copper plating process (operando mode) [30], while the ORP multisine allows the calculation of the system's impedance (ORP-EIS) [33,34]. Measurements are performed with an in-house developed software and hardware setup.…”

Section: Methodsmentioning

confidence: 99%

“…The measurements in this paper are performed in synthetic copper sulfate solutions, without contaminants and at industrial relevant current densities. Operando ORP-EIS [28,[30][31][32] is used to characterize the copper plating process in operational mode. Operando ORP-EIS is an extension of our ORP-EIS technique [33][34][35][36], in which the input signal of the system consists out of DC current signal with an additional multisine signal [33].…”

Section: Aims and Objectivesmentioning

confidence: 99%

The time-varying effect of thiourea on the copper electroplating process with industrial copper concentrations

Collet

Wouters

Hallemans

et al. 2023

Electrochimica Acta

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“…From the estimated nonlinear distortion and noise levels, uncertainty bounds on the impedance data are computed. The operando EIS technique has already successfully been applied to different electrochemical systems, like electrorefining [28], anodising [29] and Li-ion batteries [30]. In this last work, the evolution of the charge-transfer resistance over SOC is studied for a coin cell at different temperatures, C-rates and SOH.…”

mentioning

confidence: 99%

Operando Electrochemical Impedance Spectroscopy and Its Application to Commercial Li-Ion Batteries

Hallemans,

Widanalage,

Zhu

et al. 2023

Meet. Abstr.

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Electrochemical impedance spectroscopy (EIS) is a powerful non-invasive tool for characterising electrochemical systems. Applied to Li-ion batteries, EIS is shown to be an informative indicator for their state-of-health (SoH) [1,2,3]. However, EIS is limited by the constraints of linearity and stationarity, while Li-ion batteries inherently behave in a nonlinear and nonstationary way. Regarding linearity, the voltage over the electrodes is a nonlinear function of the current through the electrodes. Linearity is achieved by applying a small amplitude zero-mean current excitation around an operating point, such that the nonlinear function is quasi linear in this range. Regarding time-variation, the impedances of fully charged and fully discharged cells are different, the same for pristine and aged cells, or cells kept at room temperature and in freezing environments. For Li-ion batteries, this means that EIS experiments should be performed in steady-state when at a specific state-of-charge (SoC) and temperature. The impedance therefore depends on the operating point (temperature and SoC) and the constraints of linearity and stationarity are very restrictive. Lately, we have developed operando to reveal impedance data from measurements not satisfying linearity and stationarity [4,5]. This technique allows to measure the impedance of electrochemical systems along a time-varying trajectory, for instance, while charging or discharging Li-ion batteries [5,6]. For this purpose, a nonzero-mean odd random phase multisine current excitation is used, and the time-varying impedance along the trajectory is estimated from the spectrum of the voltage response. Moreover, nonlinear distortions in the measurements are detected and quantified, the noise level is estimated, and uncertainty bounds are enclosed on the time-varying impedance. For Li-ion batteries most time-variation happens at low frequencies. However, obtaining time-varying impedance data at low frequencies is a challenging problem. This on the one hand due to drift signals, for instance the increasing voltage while charging a battery, hiding the low frequency content, and on the other hand due to low-frequency noise. Operando EIS implements a drift signal suppression such that obtaining impedance data at low frequencies becomes attainable [4]. In this paper operando EIS measurements while charging and discharging commercial LG M50 Li-ion batteries are presented, demonstrating that the battery’s impedance while charging, discharging and resting are different from each other. Prospectives are given for utilizing operando EIS data for smart-charging and SOH prognosis applications. [1] Pastor-Fernández, C., Uddin, K., Chouchelamane, G.H., Widanage, W.D. and Marco, J., 2017. A comparison between electrochemical impedance spectroscopy and incremental capacity-differential voltage as Li-ion diagnostic techniques to identify and quantify the effects of degradation modes within battery management systems. Journal of Power Sources, 360, pp.301-318. [2] Zhang, Y., Tang, Q., Zhang, Y., Wang, J., Stimming, U. and Lee, A.A., 2020. Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning. Nature communications, 11(1), pp.1-6. [3] Jones, P.K., Stimming, U. and Lee, A.A., 2022. Impedance-based forecasting of lithium-ion battery performance amid uneven usage. Nature communications, 13(1), pp.1-9. [4] Hallemans, N., Pintelon, R., Zhu, X., Collet, T., Havigh, M.D., Wouters, B., Revilla, R.I., Claessens, R., Ramharter, K., Hubin, A. and Lataire, J., 2022. Trend Removal in Measurements of Best Linear Time-Varying Approximations—With Application to Operando Electrochemical Impedance Spectroscopy. IEEE Transactions on Instrumentation and Measurement, 71, pp.1-11. [5] Hallemans, N., Widanage, W.D., Zhu, X., Moharana, S., Rashid, M., Hubin, A. and Lataire, J., 2022. Operando electrochemical impedance spectroscopy and its application to commercial Li-ion batteries. Journal of Power Sources, 547, p.232005. [6] Zhu, X., Hallemans, N., Wouters, B., Claessens, R., Lataire, J. and Hubin, A., 2022. Operando odd random phase electrochemical impedance spectroscopy as a promising tool for monitoring lithium-ion batteries during fast charging. Journal of Power Sources, 544, p.231852.

show abstract

Operando odd random phase electrochemical impedance spectroscopy for in situ monitoring of the anodizing process

Cited by 7 publications

References 13 publications

An ORP-EIS approach to distinguish the contribution of the buried interface to the electrochemical behaviour of coated aluminium

An ORP-EIS approach to distinguish the contribution of the buried interface to the electrochemical behaviour of coated aluminium

The time-varying effect of thiourea on the copper electroplating process with industrial copper concentrations

Operando Electrochemical Impedance Spectroscopy and Its Application to Commercial Li-Ion Batteries

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