Efficiency computation with values of a 2D variation curve

Frank_Mau_1

Hi!

In general I want to calculate the motor efficiency in a transient magnetic flux simulation.

I have the output power and input power calculated in 2 different 2D curves:

F2D_TechTuto_BrushlessIPMMotor_overview.pdf -> Page 86 and before.

And I have found the information how to print the mean value of a 2D curve in the output area:

print (CurveVariation2D['OUTPUT_POWER'].y[0].meanValues

What I need is how to use the mean values of curves in a calculation:

Something like: CurveVariation2D['OUTPUT_POWER'].y[0].meanValues/CurveVariation2D['INPUT_POWER'].y[0].meanValues

I want to calculate the efficiency value and put it an I/O parameter or in a 2D curve to check it after postprocessing.

Thanks.

 

C_Favre

Hi,

I propose you to use the following python command (in Bold) in order to compute the efficiency.

Firstly you can store in a pyhton variable the output and input power with the following command:

Output_power=CurveVariation2D['OUTPUT_POWER'].y[0].meanValues[0]

Input_power=CurveVariation2D['INPUT_POWER'].y[0].meanValues[0]

After that create a python variable to store the efficiency:

Efficiency=Output_power/Input_power

Then you can then display the efficiency  in the output area using the python command:

print 'Efficiency='+str(Efficiency)

The value obtained can be stored in a I/O parameter using the python command

VariationParameterFormula['EFFICIENCY'].formula=str(Efficiency)

Please note that in thise case the parameter efficicncy already exist so it will just updated its value if you want to create it with a refernce value of 0 you can use the command:

VariationParameterFormula(name='EFFICIENCY',
                          formula='0.0')

I hope this helps.

Best regards.

Cyril Favre

C_Favre

Hi,

I propose you to use the following python command (in Bold) in order to compute the efficiency.

Firstly you can store in a pyhton variable the output and input power with the following command:

Output_power=CurveVariation2D['OUTPUT_POWER'].y[0].meanValues[0]

Input_power=CurveVariation2D['INPUT_POWER'].y[0].meanValues[0]

After that create a python variable to store the efficiency:

Efficiency=Output_power/Input_power

Then you can then display the efficiency  in the output area using the python command:

print 'Efficiency='+str(Efficiency)

The value obtained can be stored in a I/O parameter using the python command

VariationParameterFormula['EFFICIENCY'].formula=str(Efficiency)

Please note that in thise case the parameter efficicncy already exist so it will just updated its value if you want to create it with a refernce value of 0 you can use the command:

VariationParameterFormula(name='EFFICIENCY',
                          formula='0.0')

I hope this helps.

Best regards.

Cyril Favre

Alexandru-Ionel Constantin

Hi,

Another way is to use a macro, Analyse2DCurve.PFM, which can be loaded in the Extensions/Macros in the Data Tree, and then run for any 2D curve to compute the integral, max, mean, min, rectified mean and RMS values. The values are saved as I/O parameters that can be used in calculations.

Best regards,

Alexandru

Frank_Mau_1

Cyril Favre_21925 said:

Hi,

I propose you to use the following python command (in Bold) in order to compute the efficiency.

Firstly you can store in a pyhton variable the output and input power with the following command:

Output_power=CurveVariation2D['OUTPUT_POWER'].y[0].meanValues[0]

Input_power=CurveVariation2D['INPUT_POWER'].y[0].meanValues[0]

After that create a python variable to store the efficiency:

Efficiency=Output_power/Input_power

Then you can then display the efficiency  in the output area using the python command:

print 'Efficiency='+str(Efficiency)

The value obtained can be stored in a I/O parameter using the python command

VariationParameterFormula['EFFICIENCY'].formula=str(Efficiency)

Please note that in thise case the parameter efficicncy already exist so it will just updated its value if you want to create it with a refernce value of 0 you can use the command:

VariationParameterFormula(name='EFFICIENCY',
                          formula='0.0')

I hope this helps.

Best regards.

Cyril Favre

Thank you very much. You were faster than light with your answer ;-) 

Frank_Mau_1

Alexandru-Ionel Constantin said:

Hi,

Another way is to use a macro, Analyse2DCurve.PFM, which can be loaded in the Extensions/Macros in the Data Tree, and then run for any 2D curve to compute the integral, max, mean, min, rectified mean and RMS values. The values are saved as I/O parameters that can be used in calculations.

Best regards,

Alexandru

Thank you very much. This is a great work around. If I analyze the python script I get also my solution.