Comparative Performance Analysis of PI, Fuzzy Logic, and Sliding Mode Controllers for the Battery Energy Consumption of EV Traction System

This paper investigates the speed regulation and energy consumption of a prototype electric vehicle (EV) traction system utilizing three different controllers: Proportional Integral Controller tuned by Ziegler-Nichols Method (ZNPI), Sliding Mode Controller (SMC), and Fuzzy Logic Controller (FLC). The evaluation is carried out on a 175 W prototype EV traction system with an Indirect Field-Oriented Control (IFOC) set up in a laboratory setting. The focus is on assessing the speed tracking and battery current consumption performance. Experimental data is gathered through tests involving step response and the New European Driving Cycle (NEDC), allowing for a comprehensive comparison across various set points. The results indicate that SMC outperforms ZNPI and FLC, particularly in terms of minimizing battery current consumption. The transient response of SMC exhibits fewer spikes in battery current compared to ZNPI, highlighting its superior performance in this regard as well.