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If an init_soc value is not passed to DesignProblem, then predictions may start from incompatible initial states. For example, the formation concentrations may be taken as (infeasible) initial concentrations, which returns the following error message. To resolve this issue, init_soc should either be a required input or take a default initial value for design optimisation problems.
Steps to reproduce the behaviour
Check by removing the init_soc parameter from the spme_max_energy example script.
Relevant log output
pybamm.expression_tree.exceptions.SolverError: Step 'Discharge at 1C until 2.5 V (5 seconds period)' is infeasible due to exceeded bounds at initial conditions.
The text was updated successfully, but these errors were encountered:
Python Version
3.10
Describe the bug
If an
init_soc
value is not passed toDesignProblem
, then predictions may start from incompatible initial states. For example, the formation concentrations may be taken as (infeasible) initial concentrations, which returns the following error message. To resolve this issue,init_soc
should either be a required input or take a default initial value for design optimisation problems.Steps to reproduce the behaviour
Check by removing the
init_soc
parameter from thespme_max_energy
example script.Relevant log output
pybamm.expression_tree.exceptions.SolverError: Step 'Discharge at 1C until 2.5 V (5 seconds period)' is infeasible due to exceeded bounds at initial conditions.
The text was updated successfully, but these errors were encountered: