Python and SIMETRIX/SIMPLIS based automated platform for the DC-DC Converter with current mode control

In this paper, an advanced framework for the optimizer of DC-DC buck converters, which utilizes Python for algorithm implementation and SIMETRIX/SIMPLIS for accurate DC-DC converter simulation for automatic parameter sizing. The analysis focuses on achieving an exceptional ${8 6 \%}$ peak efficiency under a typical condition of 1 A load current, achieved by determining optimal inductance and capacitance values ranging from $1 \mu \mathrm{H}$ to $6.6 \mu \mathrm{H}$ and from $10 \mu \mathrm{~F}$ to $200 \mu \mathrm{~F}$ respectively, through an automatic parametric sweep is presented. The automation for the benchmark of DC-DC converters is more efficient and valuable for high-efficiency electric vehicles and renewable energy systems, decreases the optimization time, and increases overall system performance.