Advanced Energy Control in Hybrid Electric Vehicles Using Cascaded Fuzzy Logic

Abstract

Hybrid electric vehicles with energy management systems based on cascaded fuzzy control are the focus of this study. To establish a sizable global market for hybrid electric vehicles, which offer many advantages over conventional gas-powered vehicles, efficient and intelligent energy management is of the utmost importance. If we want electric hybrid vehicles to become more cost-effective and environmentally friendly, we must address the problem of energy management. Using a Cascaded Fuzzy Logic Controller (CFLC) as a controller, this study demonstrates how to enhance the hybrid electric vehicle's power reserve. The energy sources used are the battery and a PV system. To increase the power output of a PV system, a SEPIC integrated boost converter is used. The network is provided with the converter's productivity by a 1Φ VSI, which transforms DC voltage into AC voltage. Improving the inverter's efficiency is the job of the LC filter. To model the proposed system's performance, we use the MATLAB/Simulink environment. Voltage source inverter, SEPIC integrated boost converter, and cascaded fuzzy logic controller are some of the terms used in this context.