Insight into the origin of pseudo peaks decoded by the distribution of relaxation times/ differential capacity method for electrochemical impedance spectroscopy

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

“…Wang et al discussed the types, origins, and factors of pseudopeaks in DRT. 99 The pseudopeaks could be sorted into three types: (1) Simulating impedance spectra from integer to fractional-order models, which means splitting the whole spectrum, may be a good way to deal with the pseudopeak issue. However, there is still lack of a simple and effective method or standard to evaluate the degree of overfitting in DRT.…”

“…x m could be estimated by minimizing optimization function S ( x ). As shown in eq , the first term is the fitting residue term exhibiting the difference between experimental and modeled impedance, while the second term is the regularization term to obtain the optimal solution of x , the vector of weight coefficient x m ( x = [ x 1 , x 2 , x 3 , ..., x m ]). A is a matrix consisting of A n,m as defined in eq .…”

“…In addition, the pseudopeak formed during DRT calculation is another thorny problem that may lead to incorrect modeling results. Wang et al discussed the types, origins, and factors of pseudopeaks in DRT . The pseudopeaks could be sorted into three types: (1) artificial peaks due to an overfitting problem; (2) missing peaks due to an underfitting problem, and (3) shifted peaks.…”

Temperature Effect on the Corrosion Inhibition of Carbon Steel by Polymeric Ionic Liquids in Acid Medium

“…In the interfacial phenomena controlled by diffusion, relaxation processes occur at specific frequencies and temperatures; in an electrochemical system, the characteristic constant of such a process within the time domain is known as the relaxation time ( τ dl ), which is defined as the time necessary for the charge distribution to recover the equilibrium state and is commonly employed to distinguish the polarization effects that normally overlap in the frequency domain and that can be attributed to underlying physical processes [ 44 , 45 ]. The relaxation time ( τ dl ) is given by Equation (3) [ 46 , 47 ]: …”

Novel Perovskite Structured Nd0.5Ba0.5Co1/3Ni1/3Mn1/3O3−δ as Highly Efficient Catalyst for Oxygen Electrode in Solid Oxide Electrochemical Cells

“…33,34 Figure 2e,f show the DRT analysis corresponding to the EIS in Figure 2c,d, respectively, where the response peaks generated in the high-frequency band are mainly contributed by bulk conduction and grain boundary effects, while the response peaks in the low-frequency band are attributed to be generated due to the polarization of the electrodes and gas diffusion. 35 From the analysis of EIS, the performance of the fuel cell device is mainly controlled by ohmic resistance and polarization resistance, and since the same electrolyte material is used in both groups of cells, the difference in power density is mainly from the polarization resistance of different electrode materials.…”