TY  - JOUR
AU  - Kadyk, Thomas
AU  - Sun, Ying
AU  - Kaur, Jasmin
AU  - Kulikovsky, Andrei
AU  - Eikerling, Michael
TI  - Frequency response diagnostics of electrochemical energy devices
JO  - Current opinion in electrochemistry
VL  - 42
SN  - 2451-9103
CY  - Amsterdam
PB  - Elsevier
M1  - FZJ-2023-03816
SP  - 101378
PY  - 2023
AB  - The development, fabrication, and operation of electrochemical energy devices like fuel cells, batteries, or electrolyzers require 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 the state-of-health, stateof-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 differentinput or output signals increases the sensitivity towards specific processes. Sensitivity analyses and design of experiments techniques are valuable tools to evaluate different frequency response techniques and help building optimized test protocols.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:001076855500001
DO  - DOI:10.1016/j.coelec.2023.101378
UR  - https://juser.fz-juelich.de/record/1016832
ER  -