Improving Electric Vehicle Performance Through Analyzing and Applying PI Control for Torque Regulation

Abstract

Efficient control of torque in Electric vehicles (EVs) is crucial for achieving optimal performance, enhancing energy efficiency, and ensuring a smooth driving experience. The development of effective control strategies for electric vehicle torque control has become an active area of research and development in the field of electric mobility. This paper explores the theory and application of PI control in the context of electric vehicle torque control. The design and simulation of a control system using Falstad software are presented, along with the corresponding circuit diagrams and output waveforms. The study investigates the impact of different proportional ( ) and integral ( ) control parameters on the performance of the control system. The results demonstrate the trade-off between control accuracy, overshoot, and steady-state error elimination. Furthermore, the paper discusses the limitations of proportional-integral (PI) control in electric vehicle applications and provides an outlook on potential alternatives such as proportional-integral-derivative (PID) control, neural networks, and fuzzy control. The findings of this study contribute to advancing the understanding of torque control in electric vehicles.