Styjun

I have a Modelica model and I want to use JModelica with CasADi to solve a parameter estimation problem. I have my model in .mo files and my optimization problem in a .mop file and when I try to use the python function transfer_optimization_problem(...) I get an error

Error in flattened model:
 The DAE system has 125 equations and 121 free variables.

I understand that the system is overdetermined but I have no idea where to start to solve it and I can't find any logs that pins down the problem.

How do I know where to either introduce more free variables or remove equations?

It works if I use a simpler model and the model itself is possible to simulate by translating it to a fmu.

The optimization specification:

optimization lab_sun_wind_optimization(startTime=0, finalTime=1.16000e+07)

 extends lab_sun_wind(
 R(free=true, min=0.1, max=1.0),
 winAr(free=true, min=0.01, max=0.05),
 coeffV2Dt(free=true, min=0.0001, max=0.0005)
 );

end lab_sun_wind_optimization;

The model:

model lab_sun_wind

 import BuildingLib.Buildings;

 // Parameters
 parameter Real R = 1.0;
 parameter Real winAr = 0.02;
 parameter Real coeffV2Dt = 0.0002;

 // Components
 Buildings.SimpleAdapTypeLabSunWind b(R=R, winAr=winAr, coeffV2Dt=coeffV2Dt);

 // Inputs
 connector RealInput = input Real;
 RealInput dtt;
 RealInput dirRad;
 RealInput sunAz;
 RealInput sunH;
 RealInput diffRad;
 RealInput windSpeed;
 RealInput ventHigh;
 RealInput elPer;
 RealInput sp;

equation
 connect(dtt, b.buildingInp.dtt);
 connect(dirRad, b.buildingInp.dirRad);
 connect(sunAz, b.buildingInp.sunAz);
 connect(sunH, b.buildingInp.sunH);
 connect(diffRad, b.buildingInp.diffRad);
 connect(windSpeed, b.buildingInp.windSpeed);
 connect(ventHigh, b.buildingInp.ventHigh);
 connect(elPer, b.buildingInp.elPer);
 connect(sp, b.buildingInp.sp);

end lab_sun_wind;

I can't show how Buildings.SimpleAdapTypeLabSunWind looks like since it is company code.