InnoWave Projects

Energy Management for Hybrid Electric Vehicles using a Cascaded FLC

EEEMajor

This project presents an advanced energy management strategy for Hybrid Electric Vehicles (HEVs) using a Cascaded Fuzzy Logic Control (CFLC) approach. Hybrid electric vehicles are emerging as a promising alternative to conventional fuel-based vehicles; therefore, efficient and intelligent energy management is essential for expanding their global adoption. Effective energy control becomes particularly important when aiming to enhance the driving range of HEVs while reducing operational costs. This research demonstrates an improved method for increasing the power reserve of an HEV by implementing a CFLC-based control scheme. The vehicle utilizes a battery and a photovoltaic (PV) system as dual energy sources. A SEPIC-integrated boost converter is employed to enhance and regulate the power obtained from the PV system. The converter’s output power is delivered to the grid through a single-phase Voltage Source Inverter (VSI), which converts the DC power into AC. An LC filter is incorporated to improve the quality and efficiency of the inverter output. The performance of the proposed system is evaluated through detailed simulations conducted in the MATLAB/Simulink environment.

Key Highlights

Focus Area: Electric Vehicles

MATLAB
Cascaded Fuzzy Logic Controller (CFLC)
SEPIC Integrated Boost Converter
Voltage Source Inverter (VSI)
Technologies & Tools
MATLAB/Simulink

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