Cell voltage over discharge capacity

[NLithium]

I was wondering how should I setup the experiment in PyBaMM to obtain following results of decreasing capacity during cycling - at least 2000 cycles?
For example, we have a simple model and we want to solve it over experiments:

$$model = pybamm.lithium_ion.DFN( { "SEI": "ec reaction limited", "SEI film resistance": "distributed", "SEI porosity change": "true", "thermal": "lumped" }, ) total_cycles = 100 experiment = pybamm.Experiment( [ ( "Discharge at 1 C until 2.8 V", "Rest for 5 minutes", "Charge at 1 C until 4.1 V", "Hold at 4.1 V until C/10", "Rest for 5 minutes", ) ] * total_cycles )$$

And the result is "Experiment is infeasible: 'event: Zero electrolyte concentration cut-off' was triggered during 'Charge at 1 C until 4.1 V'. The returned solution only contains the first 24 cycles. Try reducing the current, shortening the time interval, or reducing the period."
How can zero electrolyze concetration cut-off error be resolved?

[brosaplanella]

You can remove the event that stops the concentration (remove it from model.events list). Note that there is this issue #1986 in progress which should also fix this problem.

[NLithium]

Thank you for your answer. I tried it and it is cycling longer, but capacity decay is still way too fast with current model setup.

[batiz1]

We have the similar problem as well, but with minimum voltage when trying different C-rates, and as you see in the figure the battery with the lowest C-rate has the major loss of them. Is there maybe an issue with inverse C-rates in the code or something?