EV Traction System’s Battery Thermal Analysis using Fuzzy Logic and PI Controller

This paper analyzes the battery thermal behavior and energy consumption of an electric vehicle (EV) traction system using a baseline PI controller and a fuzzy logic controller (FLC). The primary objective of this work is to compare speed regulation performance, battery energy consumption, and battery temperature effects. The simulation for an indirect field-oriented (IFO) induction motor-driven EV traction system, including a battery thermal model, is developed for the desired comparative performance analysis. The simulation results show that the fuzzy logic controller has lesser battery current ripples, less battery temperature rise and less battery state of charge (SOC) depletion while providing better speed regulation. Thus, the fuzzy logic-based speed controller EV traction system can increase the vehicle drive range and lifetime of the battery bank with an improved speed regulation performance than the PI-based speed controller.