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2Li+ + C3H6O3(DMC) + 2e- <=> Li2CO3 + C2H6
apart from the lithium ions being consumed which leads to LLI, solvent components like EC and DMC are also being consumed, which may lead to electrolyte dry-out, as observed in this work.
Having a solvent consumption model will extend the ability of PyBaMM to capture more degradation mechanisms.
Possible Implementation
Now this model works as a wrapper, i.e., it doesn't not makes changes to the PyBaMM model itself but only changes the concentration of Li+ and EC (or any solvent assumed) that relates to the DFN model and SEI model, see below:
Given its current implementation, I think the easiest way to add it into PyBaMM may be as an example notebook, like this one here?
Additional context
Now that the notebook has already existed here, will it make sense to tidy up this notebook according to the Coding style guidelines and make a PR?
Any suggestions will be appreciated.
The text was updated successfully, but these errors were encountered:
Description
This model considers the effect of solvent consumtion due to SEI layer growth, which corresponds to the model in this paper: Li, Ruihe, O'Kane, Simon, Marinescu, Monica, & Offer, Gregory J. (2022). Modelling solvent consumption from SEI layer growth in lithium-ion batteries. Journal of The Electrochemical Society, 169(6), 14. doi:10.1149/1945-7111/ac6f84. It enables the discussion on the initial amount of electrolyte injected into the cell during manufacturing and model the possible dry-out of electrode area at late stage of degradation.
Motivation
For the following two SEI reactions:
2Li+ + 2(C3H4O3)(EC) + 2e- <=> (CH2OCO2Li)2 + C2H4
2Li+ + C3H6O3(DMC) + 2e- <=> Li2CO3 + C2H6
apart from the lithium ions being consumed which leads to LLI, solvent components like EC and DMC are also being consumed, which may lead to electrolyte dry-out, as observed in this work.
Having a solvent consumption model will extend the ability of PyBaMM to capture more degradation mechanisms.
Possible Implementation
Now this model works as a wrapper, i.e., it doesn't not makes changes to the PyBaMM model itself but only changes the concentration of Li+ and EC (or any solvent assumed) that relates to the DFN model and SEI model, see below:
Given its current implementation, I think the easiest way to add it into PyBaMM may be as an example notebook, like this one here?
Additional context
Now that the notebook has already existed here, will it make sense to tidy up this notebook according to the Coding style guidelines and make a PR?
Any suggestions will be appreciated.
The text was updated successfully, but these errors were encountered: