Frequency response diagnostics of electrochemical energy devices
Source abstract
Abstract
The development, fabrication and operation of electrochemical energy devices like fuel cells, batteries or electrolyzers requires powerful diagnostic techniques. Frequency response analysis methods deconvolute and quantify reaction and transport processes based on their dynamics, extract properties such as conductivity, diffusivity, permeability, and electrocatalytic activity, and assess state-of-health, state-of-charge of a battery, mass activity of an electrocatalytic layer or the presence of faults. Taking nonlinear information into account improves process identifiability, while using different input or output signals increases the sensitivity towards specific processes. Sensitivity analysis and design of experiment techniques are valuable tools to evaluate different frequency response techniques and help to build optimized test protocols.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Fuel Cells and Related Materials · Advanced Battery Technologies Research · Electrochemical Analysis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (49)
Show source-provided references
1. Recent progress in the use of electrochemical impedance spectroscopy for the measurement, monitoring, diagnosis and optimization of proton exchange membrane fuel cell performance10.1016/j.jpowsour.2020.228361 ↗
2. Editors' choice—review—impedance response of porous electrodes: theoretical framework, physical models and applications10.1149/1945-7111/abc655 ↗
3. Modeling electrochemical impedance spectroscopy10.1016/j.coelec.2018.12.003 ↗
4. Analytical solutions for impedance of the cathode catalyst layer in PEM fuel cell: layer parameters from impedance spectrum without fitting10.1016/j.jelechem.2012.12.002 ↗
5. An analytical three-scale impedance model for porous electrode with agglomerates in lithium-ion batteries10.1149/2.0241504jes ↗
6. Can we quantify oxygen transport in the nafion film covering an agglomerate of pt/c particles?10.1149/2.1261704jes ↗
7. Evaluation of electrochemical impedance spectra by the distribution of relaxation times
8. Advanced impedance study of polymer electrolyte membrane single cells by means of distribution of relaxation times10.1016/j.jpowsour.2018.09.004 ↗
9. Electrochemical impedance imaging via the distribution of diffusion times10.1103/PhysRevLett.120.116001 ↗
10. A kernel for calculating PEM fuel cell distribution of relaxation times10.3389/fenrg.2021.780473 ↗
11. Loewner framework and distribution of relaxation times of electrochemical systems: solving issues through a data-driven modeling approach10.2139/ssrn.4217752 ↗
12. Deconvolution of electrochemical impedance spectra for the identification of electrode reaction mechanisms in solid oxide fuel cells10.1023/A:1020599525160 ↗
13. Distribution of relaxation times: a tool for measuring oxygen transport resistivity of a low–pt PEM fuel cell cathode10.1149/1945-7111/abc10f ↗
14. Characterization of a commercial polymer electrolyte membrane fuel cell stack by means of physics-based modeling and distribution of relaxation times10.1021/acs.jpcc.1c10334 ↗
15. Review—nonlinear electrochemical impedance spectroscopy10.1149/2.0391707jes ↗
16. Nonlinear frequency response analysis: a recent review and perspectives
17. Nonlinear frequency response analysis of PEM fuel cells for diagnosis of dehydration, flooding and CO-poisoning10.1016/j.jelechem.2009.02.001 ↗
18. Identification of lithium plating in lithium-ion batteries using nonlinear frequency response analysis (NFRA)10.1016/j.electacta.2018.05.139 ↗
19. Total harmonic distortion analysis for direct methanol fuel cell anode10.1016/j.elecom.2010.08.022 ↗
20. Sensing methanol concentration in direct methanol fuel cell with total harmonic distortion: theory and application10.1016/j.electacta.2012.02.018 ↗
21. Total harmonic distortion analysis of oxygen reduction reaction in proton exchange membrane fuel cells10.1016/j.electacta.2013.03.194 ↗
22. Understanding nonlinearity in electrochemical systems10.1140/epjst/e2019-800135-2 ↗
23. Nonlinear electrochemical impedance spectroscopy for solid oxide fuel cell cathode materials10.1016/j.electacta.2005.02.109 ↗
24. Nonlinear frequency response of electrochemical methanol oxidation kinetics: a theoretical analysis10.1149/1.3446836 ↗
25. Nonlinear frequency response analysis (NFRA) of lithium-ion batteries10.1016/j.electacta.2017.04.037 ↗
26. Nonlinear frequency response analysis on lithium-ion batteries: a model-based assessment10.1016/j.electacta.2017.12.097 ↗
27. Extending Newman's pseudo-two-dimensional lithium-ion battery impedance simulation approach to include the nonlinear harmonic response10.1149/2.0301711jes ↗
28. Nonlinear electrochemical impedance spectroscopy of lithium-ion batteries: experimental approach, analysis, and initial findings10.1149/2.0711811jes ↗
29. Nonlinear frequency response analysis on lithium-ion batteries: process identification and differences between transient and steady-state behavior10.1016/j.electacta.2018.12.107 ↗
30. State-of-health identification of lithium-ion batteries based on nonlinear frequency response analysis: first steps with machine learning10.3390/app8050821 ↗
31. State-of-health diagnosis of lithium-ion batteries using nonlinear frequency response analysis10.1149/2.1031902jes ↗
32. Capacity fade detection in lithium-ion batteries using non-linear frequency response analysis (NFRA) under multiple open-circuit voltages (OCVs)10.1016/j.elecom.2022.107338 ↗
33. Polymer electrolyte fuel cell degradation mechanisms and their diagnosis by frequency response analysis methods: a review10.3390/en13215825 ↗
34. Pressure–voltage oscillations as a diagnostic tool for PEFC cathodes10.1016/j.elecom.2009.11.003 ↗
35. Electrochemical pressure impedance spectroscopy (EPIS) as diagnostic method for electrochemical cells with gaseous reactants: a model-based analysis10.1149/2.1041603jes ↗
36. Analytical model for PEM fuel cell concentration impedance
37. Electrochemical pressure impedance spectroscopy applied to the study of polymer electrolyte fuel cells10.1016/j.elecom.2016.12.014 ↗
38. Electrochemical pressure impedance spectroscopy for investigation of mass transfer in polymer electrolyte membrane fuel cells10.1016/j.coelec.2020.04.017 ↗
39. Electrochemical pressure impedance spectroscopy for PEM fuel cells: are the measured spectra unique?10.1149/1945-7111/ac90f2 ↗
40. Concentration-alternating frequency response: a new method for studying polymer electrolyte membrane fuel cell dynamics10.1016/j.electacta.2017.04.150 ↗
41. Studying mass transport dynamics in polymer electrolyte membrane fuel cells using concentration-alternating frequency response analysis10.1016/j.jpowsour.2018.11.065 ↗
42. Decoupling oxygen and water transport dynamics in polymer electrolyte membrane fuel cells through frequency response methods based on partial pressure perturbations10.1016/j.electacta.2021.138788 ↗
43. Analytical model for concentration (pressure) impedance of a low-pt PEM fuel cell oxygen electrode10.3390/membranes12040356 ↗
44. Studying the interaction of mass transport and electrochemical reaction kinetics by species frequency response analysis10.1149/1945-7111/abc76e ↗
45. A model for the concentration admittance of a polymer electrolyte fuel cell10.1021/acs.jpcc.2c04131 ↗
46. Effective parameterization of PEM fuel cell models—part i: sensitivity analysis and parameter identifiability10.1149/1945-7111/ab7091 ↗
47. Effective parameterization of PEM fuel cell models—part II: robust parameter subset selection, robust optimal experimental design, and multi-step parameter identification algorithm10.1149/1945-7111/ab7092 ↗
48. Efficient global sensitivity analysis of 3d multiphysics model for li-ion batteries10.1149/2.1301805jes ↗
49. Reducing error and measurement time in impedance spectroscopy using model based optimal experimental design10.1016/j.electacta.2011.02.098 ↗