I'm changing the initial 2 parameter values (over the range of possible values) with pyFMI and simulate the model response I can see that my response is affected only by 1 variable change and not by the other but if I simulate the model only with the second variable (that is not changing in inital simulations) I can clearly see the effect on the model response.
model.reset()
model=load_fmu('Series_0Resistance.fmu')
tstart = model.get_default_experiment_start_time() #### start time of the model
tstop = model.get_default_experiment_stop_time() #### Stop time of the model
Rshunt=0.09141 # Initial values of parameters ( not affecting the simulation response while simulated with the second parameter)
Rserie=0.00012 # Initial values of parameters (affecting the simulation response)
Rserie_traj = np.array([[tstart,Rserie]])
Rshunt_traj = np.array([[tstart,Rshunt]])
input_object = ('champPV.param2diodes.Rserie',Rserie_traj,
'champPV.param2diodes.Rshunt',Rshunt_traj)
opts = model.simulate_options ()
opts['ncp']=266### The number of output points
opts["CVode_options"]["store_event_points"] = True
model_try=model.simulate(options=opts, input=input_object,final_time=tstop )
results=(model_try['champPV.Pmpp_DC'])
plt.plot(results)
But if I simulate my model response only with the parameter (that is not affecting the simulation response in the above case) I can see clear model response differences.Would welcome any hints how to resolve this.
global model
model.reset()
model=load_fmu('Series_0Resistance.fmu')
tstart = model.get_default_experiment_start_time() #### start time of the model
tstop = model.get_default_experiment_stop_time() #### Stop time of the model
Rshunt=0.9141 # Initial values of parameters
Rshunt_traj = np.array([[tstart,Rshunt]])
input_object = ('champPV.param2diodes.Rshunt',Rshunt_traj)
opts = model.simulate_options ()
opts['ncp']=266### The number of output points
opts["CVode_options"]["store_event_points"] = True
model_try=model.simulate(options=opts, input=input_object,final_time=tstop )
results=(model_try['champPV.Pmpp_DC'])
plt.plot(results)