Kaushik Shandilya
Determine the voltage range of interest for your supercapacitor application. This will typically depend on the specific application and the voltage limits of the supercapacitor you are using. Obtain capacitance data for your supercapacitor across the voltage range of interest. This can typically be found in the datasheet for the supercapacitor or can be measured experimentally using a suitable setup. Once you have the capacitance data, you can plot it against the voltage range of interest using a graphing software such as MATLAB, Excel or Python. If you have experimental data, you will need to ensure that the data is accurate and that there are no errors in the measurements. You should label the x-axis as voltage and the y-axis as capacitance. You may also want to include a legend, title and gridlines to make the graph easier to read. Once you have plotted the data, you can use it to analyze the performance of the supercapacitor in your application. For example, you can determine the maximum capacitance at a given voltage or the voltage range over which the capacitance remains relatively constant.
Dear friend Arslan Ahmad
To plot a capacitance vs voltage graph for a Supercapacitor application, you will need to follow these steps:
Overall, plotting capacitance vs voltage graph for a Supercapacitor application requires obtaining capacitance data and using graphing software to plot it against the voltage range of interest.
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Sadaf Siddique
Arslan Ahmad, Once you plot the CV plot i.e current vs potential graph in origin. Go to the workbook, select the y-axis column (current), and set the column values such as dividing y-axis column( current) with the active mass*scan rate. This now represents the capacitance (F/g). Now just select both columns X and Y and plot the graph. You will get the capacitance Vs potential graph.
Note: Be careful of units.
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