Fuzzy Logic Control for Enhanced 4WD Electric Vehicle Speed Control

Abstract

This study explains the implementation and  design  of a Fuzzy Logic Controller (FLC) for enhanced speed control in a four-wheel-drive (4WD) electric vehicle (EV). Traditional Proportional-Integral-Derivative (PID) controllers often struggle with the nonlinear dynamics, parameter variations, and external disturbances inherent in EV systems. To address these challenges, we propose an intelligent FLC that leverages heuristic knowledge to provide robust and adaptive control without requiring a precise mathematical model. The controller's performance is evaluated through simulation under various driving conditions, including different road surfaces and sudden load changes. Results demonstrate that the proposed FLC system achieves superior performance compared to a conventional PI controller, exhibiting significantly reduced rise and settling times, minimal overshoot, and enhanced stability, thereby ensuring improved traction, energy efficiency, and driving comfort.