Performance of PMSM-Based Battery Electric Vehicle Using PI, PID, and FL Controllers

Abstract

Internal combustion engine (ICE) vehicles often exhibit quicker acceleration and a faster response to reach maximum speed than electric vehicles (EVs). The EVs can overcome this limitation with highly efficient motors and optimized control systems. This work proposes a speed control strategy for field-oriented control (FOC) PMSM-based battery electric vehicles (BEV) using a fuzzy logic controller (FLC) to attain quick acceleration and smooth steady-state operation. A minimal set of fuzzy rules is framed to achieve precise speed control of the PMSM propulsion system. A mathematical model is established in MATLAB-Simulink to emulate a BEV with a battery-driven PMSM propulsion system and a single-gear transmission to the wheels, including vehicle dynamics. The performance of this system is comprehensively evaluated during transient and steady-state conditions, focusing on parameters such as rise time, settling time, and steady-state error in operating speed and torque characteristics of the PMSM-BEV. Furthermore, the acceleration of the BEV at the wheels is assessed in terms of the time required to reach its maximum speed, typically 100 kilometers per hour. The results of the simulations are contrasted with conventional P.I. and P.I.D. controllers. The findings from these results validate that the minimal fuzzy rulesbased BEV is more resilient than P.I. and P.I.D. counterparts for quick acceleration and smooth steady-state operation, which is more suitable for electric automobiles

Keywords

• electric vehicle (e.v.)
• fuzzy logic controller (flc)
• proportional plus integral (p.i.) controller
• proportional plus integral plus derivative (p.i.d.) controller