Hello Everyone,

I am working with a co-simulation and I am experiencing some difficulties. For this we are using the following procedure.
We firstly generate the system FMU with OMPython in co-simulation mode. For this we choose the CVODE solver using the compiler option "--fmiFlags=s:cvode,nls:hybrid". For the co-simulation per se, we are using the PyFMI module for loading, initializing and solving the system. At first, the system initialization would always fail. When we generated the FMU with the extra compiler option "--homotopyApproach=adaptiveGlobal", the system finally got initialized successfully. However, during the simulation, the solver would fail with the following error:

[CVODE ERROR]  CVode tout too close to t0 to start integration.

Here are the messages thrown by the solver at the beginning of the simulation:

LOG_SOLVER        | info    | CVODE linear multistep method CV_BDF
LOG_SOLVER        | info    | CVODE maximum integration order CV_ITER_NEWTON
LOG_SOLVER        | info    | CVODE use equidistant time grid YES
LOG_SOLVER        | info    | CVODE Using relative error tolerance 1.000000e-06
LOG_SOLVER        | info    | CVODE Using dense internal linear solver SUNLinSol_Dense.
LOG_SOLVER        | info    | CVODE Use internal dense numeric jacobian method.
LOG_SOLVER        | info    | CVODE uses internal root finding method NO
LOG_SOLVER        | info    | CVODE maximum absolut step size 0
LOG_SOLVER        | info    | CVODE initial step size is set automatically
LOG_SOLVER        | info    | CVODE maximum integration order 5
LOG_SOLVER        | info    | CVODE maximum number of nonlinear convergence failures permitted during one step 10
LOG_SOLVER        | info    | CVODE BDF stability limit detection algorithm OFF

So, is there a way to pass additional arguments to CVODE solver at the moment we generate the FMU? For example, an argument for enabling the internal root finding method?

I would be deeply grateful if anyone could shed some light on this.