EIS study on metal hydride electrodes using a porous model: Fitting methodology and SOC effects.

Martínez, Marcos; Téliz, Erika; Zinola, C.F.; Díaz, Verónica

doi:10.1016/j.est.2019.101067

Cited by 12 publications

(7 citation statements)

References 38 publications

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“…Thus, a wide range of EIS studies have been performed in order to characterize different components of the battery independently, such as polymer electrolytes, ion exchange membranes, − and the SEI formation and its characterization. , Moreover, each type of battery leads to different EIS signatures, thus leading to intensive electrochemical analysis on each different system such as lead/acid batteries, − Li-ion , and Na-ion batteries, NiMH , and Ni/Cd batteries, all-solid-state batteries, − capacitors, − pseudocapacitors, and redox flow batteries. − Interestingly, even though some of these systems have been known for decades, controversy still exists on the right way to conduct experiments on systems that evolve with time and as a function of the state of charge.…”

Section: Examplesmentioning

confidence: 99%

Impedance Analysis of Electrochemical Systems

2022

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Interpretation of impedance spectroscopy data requires both a description of the chemistry and physics that govern the system and an assessment of the error structure of the measurement. The approach presented here includes use of graphical methods to guide model development, use of a measurement model analysis to assess the presence of stochastic and bias errors, and a systematic development of interpretation models in terms of the proposed reaction mechanism and physical description. Application to corrosion, batteries, and biological systems is discussed, and emerging trends in interpretation and implementation of impedance spectroscopy are presented.

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Section: Examplesmentioning

confidence: 99%

Impedance Analysis of Electrochemical Systems

2022

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“…This has been demonstrated in Section 5 of the manuscript when analysing the BDW impedance response from EIS measurements in a NiMH battery at different SoC. A change in the diffusion time constant which is related to the characteristic frequency of the diffusion impedance at low frequencies has been reported in EIS measurements of Li-ion batteries at different SoC[43]. The diffusion constant ̂ represented in the characteristic time constant T BDW of the BDW (Eq.…”

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confidence: 69%

“…A change in the diffusion time constant which is related to the characteristic frequency of the diffusion impedance at low frequencies has been reported in EIS measurements of Li-ion batteries at different SoC. 43 The diffusion constant D ˆrepresented in the characteristic time constant T BDW of the BDW (Eq. 20) is related to the concentration of charge carriers (60%) approaching a full accumulation of charge (100%) in the blocked-interface (e.g.…”

Section: Discussionmentioning

confidence: 98%

“…BDW impedances considering diffusion of ions in the electrodes with different solid-particle geometry e.g. spherical, cylindrical have been considered for the analysis of EIS measurements in Li-ion batteries [42,43]. This modelling framework could assist the estimation of the frequency and time constant for the diffusion-capacitive transition response in EIS measurements carried out https://mc04.manuscriptcentral.com/jes-ecs in electrodes with different solid-particle geometry.…”

Section: Discussionmentioning

confidence: 99%

“…spherical, cylindrical have been considered for the analysis of EIS measurements in Li-ion batteries. 42,43 This modelling framework could assist the estimation of the frequency and time constant for the diffusion-capacitive transition response in EIS measurements carried out in electrodes with different solid-particle geometry. The methodology developed in this study can be applied to the different BDW impedance equations considering different solid-particle geometry in the electrode as the diffusion-capacitive transition response at low frequencies is represented in the impedance response of battery electrodes with different solid-particle geometry.…”

Section: Discussionmentioning

confidence: 99%

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Frequency Transition from Diffusion to Capacitive Response in the Blocked-Diffusion Warburg Impedance for EIS Analysis in Modern Batteries

Cruz-Manzo¹,

Greenwood²

2020

J. Electrochem. Soc.

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The use of the Blocked-diffusion Warburg (BDW) impedance within electrochemical impedance spectroscopy (EIS) measurements can unveil diffusion properties of the electroactive material of modern batteries at different states-of-charge. The impedance response of the BDW comprises a diffusion response of charge carriers through a shortdiffusion distance (e.g. the solid-phase in electroactive material of battery electrodes) and a capacitive response due to accumulation of charge carriers in a blocked-interface (e.g. impermeable current collector of a thin film electrode). This study has developed a mathematical expression based on the Newton-Raphson iteration method to calculate the frequency and time constant during the transition from diffusion to capacitive response in the BDW impedance. The mathematical procedure to calculate the frequency during the diffusioncapacitive transition response in the BDW has been written in a script in Matlab® software and is applied to BDW impedance responses reported in previous studies and extracted from EIS measurements in Li-ion and NiMH batteries. This study demonstrates that the time constant during the transition from diffusion to capacitive response in the BDW differs from the characteristic time constant commonly represented in the BDW mathematical expression. The characteristic time constant represented in the BDW mathematical expression is related to the rate of accumulation of charge carriers in the blocked-interface of the electrode. On the other hand, the time constant during the transition from diffusion to capacitance responses in the BDW impedance can be related to diffusion properties in solid-phase particles with heterogeneous size distribution in the electroactive material of modern battery electrodes.

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