OPTIMIZED ENERGY STORAGE AND PMSM DRIVE PERFORMANCE IN HEVS VIA FUZZY LOGIC CONTROL

Abstract

Hybrid Electric Vehicles (HEVs) are increasingly recognized as a sustainable alternative to conventional internal combustion engine vehicles, offering reduced fuel consumption and lower emissions. However, efficient energy storage management and drive system control remain key challenges in maximizing their performance. This paper presents an optimized energy storage management strategy for HEVs using fuzzy logic control integrated with a Permanent Magnet Synchronous Motor (PMSM) drive. The proposed system dynamically balances power flow between the battery, auxiliary storage units, and the PMSM drive based on real-time driving conditions and load demands. By leveraging fuzzy logic, the system adapts to uncertainties and nonlinearities in energy consumption patterns, ensuring smooth transitions between different driving modes. Simulation and experimental results demonstrate that the fuzzycontrolled energy management system improves battery life, enhances regenerative braking efficiency, and ensures stable PMSM drive operation with reduced torque ripple. The study highlights the potential of fuzzy logic-based control frameworks as an intelligent solution to optimize both energy storage utilization and motor drive performance in HEVs, contributing to enhanced efficiency, reliability, and sustainability