Investigation of physico-chemical processes in lithium-ion batteries by deconvolution of electrochemical impedance spectra

Manikandan, Balasundaram; Ramar, Vishwanathan; Yap, C. T.; Balaya, Palani

doi:10.1016/j.jpowsour.2017.07.006

Cited by 67 publications

(49 citation statements)

References 35 publications

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“…[1,2] The possibility to also investigate complex and unknown electrochemical systems via impedance spectroscopy turned the DRT method into a popular technique in recent impedance research. [3][4][5][6][7][8][9][10][11][12][13][14][15] However, calculat-ing DRT spectra from noisy experimental impedance data requires mathematical methods which are usually no black-box procedures. In particular, this indicates that certain preassumptions have to be made which strongly affect the calculations result.…”

Section: Introductionmentioning

confidence: 99%

Direct Access to the Optimal Regularization Parameter in Distribution of Relaxation Times Analysis

2020

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The distribution of times (DRT) method has become an important extension for electrochemical impedance investigations. Calculating the DRT is particularly advantageous for complex systems, as it yields an increased resolution in frequency domain. However, the determination of the DRT from experimental impedance data requires special mathematical effort. An often‐used method for the calculation of the DRT is the Tikhonov regularization. The quality of the result of this method depends on the choice of a suitable regularization parameter. This parameter has to be selected by the user. In a former work (N. Schlüter, S. Ernst, U. Schröder, ChemElectroChem 2019, 6, 6027–6037), we showed a method that helps to find the best regularization parameter for given impedance data. However, this test was based on repetitive impedance measurements, which have to be performed at least twice. In this paper, we optimize our previous method to assure the determination of an optimal regularization parameter from just one single impedance spectrum. Eventually, this revision saves measurement time and makes our test also applicable for less time stable measurements.

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Section: Introductionmentioning

confidence: 99%

Direct Access to the Optimal Regularization Parameter in Distribution of Relaxation Times Analysis

2020

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“…Unfortunately, the relative change of cell resistance strongly depends on temperature [33]. The passivation and charge-transfer resistance of cobalt-manganese and nickel-cobalt-aluminum batteries are significantly determined by the graphite anode [34]. Lithium iron phosphate (LFP) provides a small internal resistance although the diffusion resistance in the solid phase is large.…”

Section: State-of-charge Of Batteriesmentioning

confidence: 99%

“…In recent approaches, the impedance spectrum is transformed to the time domain to find out the statistical distribution of the time constants of a hypothetical transmission line model consisting of a ladder network of incremental dR dC elements [34,36].…”

Section: Capacitice Charge Statusmentioning

confidence: 99%

State-of-Charge Monitoring by Impedance Spectroscopy during Long-Term Self-Discharge of Supercapacitors and Lithium-Ion Batteries

Kurzweil

Shamonin

2018

Batteries

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Frequency-dependent capacitance C(ω) is a rapid and reliable method for the determination of the state-of-charge (SoC) of electrochemical storage devices. The state-of-the-art of SoC monitoring using impedance spectroscopy is reviewed, and complemented by original 1.5-year long-term electrical impedance measurements of several commercially available supercapacitors. It is found that the kinetics of the self-discharge of supercapacitors comprises at least two characteristic time constants in the range of days and months. The curvature of the Nyquist curve at frequencies above 10 Hz (charge transfer resistance) depends on the available electric charge as well, but it is of little use for applications. Lithium-ion batteries demonstrate a linear correlation between voltage and capacitance as long as overcharge and deep discharge are avoided.

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“…This method is further associated with an improved data resolution in frequency domain . Thus, due to its potential towards advanced data analysis, its application has gained popularity in recent impedance research . Nevertheless, the calculation of DRT plots is an intrinsically ill‐posed problem and regularization methods are needed .…”

Section: Introductionmentioning

confidence: 99%

“…[2] Thus, due to its potential towards advanced data analysis, its application has gained popularity in recent impedance research. [3][4][5][6][7][8][9] Nevertheless, the calculation of DRT plots is an intrinsically ill-posed problem and regularization methods are needed. [10] Therewith, new problems finding optimal DRT solutions come along.…”

Section: Introductionmentioning

confidence: 99%

Finding the Optimal Regularization Parameter in Distribution of Relaxation Times Analysis

2019

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The distribution of relaxation times (DRT) method allows the direct interpretation of electrochemical impedance data, yielding an increased resolution in the frequency domain. Calculating the DRT from experimental impedance spectra, however, is an intrinsically ill‐posed problem requiring special mathematical treatments such as, for example, the Tikhonov regularization. In this study, we propose a new approach for finding optimal regularization parameters in the Tikhonov regularization. The new test function is based on repetitive impedance measurements and a simple data resampling with a subsequent variance investigation. Furthermore, our new approach is combined with already published procedures considering the determination of best regularization parameters. Here, the combination of several tests enables a clear assignment of an upper and a lower boundary for suitable regularization parameters. Finally, both tests were applied to simulated as well as to experimental impedance data for validation. To analyze the sensitivity of the approach, varying error extent was generated to the synthetic and experimental measurements.

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Investigation of physico-chemical processes in lithium-ion batteries by deconvolution of electrochemical impedance spectra

Cited by 67 publications

References 35 publications

Direct Access to the Optimal Regularization Parameter in Distribution of Relaxation Times Analysis

Direct Access to the Optimal Regularization Parameter in Distribution of Relaxation Times Analysis

State-of-Charge Monitoring by Impedance Spectroscopy during Long-Term Self-Discharge of Supercapacitors and Lithium-Ion Batteries

Finding the Optimal Regularization Parameter in Distribution of Relaxation Times Analysis

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