Here is where we’ll revisit Coulombic Efficiency (CE).
The intention of this article is to demonstrate, both graphically and mathematically, how capacity fade and charge end-point capacity slippage add up to give the CE of a cell. For more introductory information on CE, please refer to our posts on Coloumbic Efficiency, Coloumbic Ineffiency Per Hour, Capacity Fade, and Charge Endpoint Capacity. The first part of this post derives the CE expression explicitly in terms of capacity fade and charge end-point capacity slippage, while the second part uses a fictional case study to demonstrate how a decomposed CE measurement can be interpreted.
In the end we’ll show the wealth of information that high fidelity CE measurements hold, well beyond predicting which cell will have the longest lifetime.
Part 1
The graph above shows fictional data that has been modified to exaggerate both capacity fade and charge end-point capacity slippage. For a given cycle
Interestingly,
And, as described above, the discharge end-point capacity slippage can be expressed in terms of the capacity fade and charge end-point capacity slippage:
This is ultimately a very useful expression because the values
This expression shows that the CIE/hr can easily be obtained from the capacity fade and charge end-point capacity slippage simply by normalizing each of them by the time per cycle. This allows comparison between cells that were cycled at different rates and/or to different states of charge causing the cycle time to be different.
Part 2
The following graph shows fictional data to demonstrate the importance of breaking up a CE measurement. Imagine a hypothetical situation where two cells have identical CE, as shown in the top panel. If no further analysis was done, it would likely be concluded that these cells have identical electrochemical performance.
However, by differentiating capacity fade and charge end-point capacity slippage, it’s revealed that these two cells are achieving the same CE in different ways; the cell in black has more capacity fade (center panel), the one in red has more charge end-point capacity slippage (bottom panel).
This begs the question: is one of these two cells better than the other even though they have identical CE*? The answer to that question is generally not straightforward but examining other cycle metrics can give clues. For example, if the cell with larger charge end-point capacity slippage (red) also had a comparably increased impedance, it is possible that salt from the electrolyte was being consumed during electrolyte oxidation, which would likely lead to worse performance over time compared to the cell with larger capacity fade (black)?
Breaking down the CE this way and cross-referencing with other cycle metrics (e.g., impedance growth), provides additional information that can be used to make informed decisions not only about which cell is better compared to the other, but also about how cells degrade and how chemistries can be improved.
*Disclaimer: Even though this is a fictional scenario – cells would typically have at least very small differences in CE – this example nonetheless represents a real challenge that arises when testing cells carefully, especially when comparing cells that have very similar electrochemical performance.