Hi there! I am using your tool to perform DRT analysis on my EIS spectra of a Li-ion cylindrical cell.
The EIS were taken after 30 min of relaxation from 100 MHz to 10 mHz with 10 ppd. I performed 2 EIS for each SoC with Biologic potentiostat.
I wanted to know if in your opinion this is the right way to do the test or should I change some parameters.
Moreover, and more importantly, I read in some articles that before proceeding with DRT calculation I should fit the inductive and diffusive part of my spectra and subtract from the original data the contribution of those in order to do DRT only on the polarization contribution to EIS.
- About the inductive part: I saw in the User manual of the DRTtool that it can be fitted and seems ok in my spectra
- The diffusive part: here it is more complicated to fit for DRTtool and I think that the low quality of the EIS scores (below 100) could be due to this.
How should I proceed? Can I just get rid of the diffusive data or it would be better to perform the fitting (with ZView for example) of that part and subtract it from the raw data? Maybe perform the EIS only to medium frequency?
Thank you so much,
Roberto
Hi there! I am using your tool to perform DRT analysis on my EIS spectra of a Li-ion cylindrical cell.
The EIS were taken after 30 min of relaxation from 100 MHz to 10 mHz with 10 ppd. I performed 2 EIS for each SoC with Biologic potentiostat.
I wanted to know if in your opinion this is the right way to do the test or should I change some parameters.
Moreover, and more importantly, I read in some articles that before proceeding with DRT calculation I should fit the inductive and diffusive part of my spectra and subtract from the original data the contribution of those in order to do DRT only on the polarization contribution to EIS.
How should I proceed? Can I just get rid of the diffusive data or it would be better to perform the fitting (with ZView for example) of that part and subtract it from the raw data? Maybe perform the EIS only to medium frequency?
Thank you so much,
Roberto