Comparative Analysis of Modified PI and Fuzzy Logic Controllers Based High Current Density DC–DC Converter for EV Charging Applications

Two control techniques—modified proportional-integral (PI) controller and fuzzy logic controller (FLC)—used in a high current density DC-DC converter for EV charging systems are compared in this work. Selecting a suitable control method is essential given the growing need for quick, trustworthy EV charging. Under given operating conditions, the modified PI controller is meant to lower output overshoot and power losses while preserving thermal efficiency. By contrast, without exact system modelling, the proposed FLC offers an adaptive, rule-based control approach that can dynamically react to variances in load and input voltage. Under both ideal and non-ideal environments, simulation and experimental evaluations were conducted to investigate converter performance factors including output voltage control, power loss, overshoot, and junction temperature. The FLC beats the modified PI controller in terms of adaptability, thermal stress reduction, and superior efficiency over a wider range of operating conditions even if it stays steady under set settings. The opportunities of fuzzy logic-based control for nextgeneration, fast-charging electric car infrastructure are underlined by this comparison study.