Battery Energy Consumption Optimization for the EV Traction System

Abstract

An efficient battery energy management in Electric Vehicles (EV) is crucial for energy conservation and improving the EV drive range per battery charge. This makes energy consumption an important metric when selecting a motor speed controller for the EV traction system. This work experimentally investigates the battery energy consumption and speed tracking performance of Fuzzy Logic Controller (FLC) and PI controller when used in an indirect field-oriented EV traction system. A prototype EV traction system is setup in the lab to evaluate and compare their performance in terms of battery power consumption and speed tracking. Experimental investigation on a prototype EV traction system shows that FLC is more energy efficient as compared to the PI speed controller with slightly higher speed tracking error. Moreover, FLC has smaller transient current spikes as compared to PI controller putting lesser stress on the battery that results into smaller battery state of health (SOH) degradation.