A FUZZY LOGIC APPROACH TO ENERGY MANAGEMENT IN HYBRID ELECTRIC VEHICLES WITH PMSM DRIVE

Abstract

Efficient energy storage management is critical for the performance and sustainability of hybrid electric vehicles (HEVs). Conventional control strategies often struggle to handle the nonlinearities and uncertainties associated with vehicle dynamics, battery characteristics, and load variations. This study proposes a fuzzy logic–based energy management system integrated with a Permanent Magnet Synchronous Motor (PMSM) drive to optimize power distribution between the internal combustion engine and the battery storage system. The fuzzy controller evaluates real-time parameters such as state of charge, driving conditions, and power demand to achieve balanced energy utilization and enhanced drive efficiency. Simulation results demonstrate that the proposed approach reduces energy losses, extends battery life, and improves overall vehicle performance compared to traditional rule-based methods. The research highlights the potential of intelligent control techniques in advancing hybrid electric vehicle technology