This paper presents the design of an indirect space vector control (ISVC) of electric vehicle (EV) driven by permanent magnet synchronous motor (PMSM) utilizing the fuzzy logic control (FLC) approach for personnel transportation. Regulating the power flow in any vehicle is essential for optimal vehicle dynamics. A variety of propulsion motors are used in the system for such transmission. But PMSM is most efficient in terms of power density and torque. This study proposes a fuzzy controller based control technique for speed and torque control of PMSM drive and the simulated outcomes are compared with traditional PI controller under various motor loaded conditions. In this paper, EV dynamics are considered and ISVC strategy for PMSM is implemented. The PMSM is energized by space vector pulse width modulation (SVPWM) inverter. The system is modelled and simulated in MATLAB \ SIMULINK environment for steady speed-varying torque and varying speed-steady torque conditions. A wide range of speed drive profile is suggested for EV, consisting of accelerating, constant speed, decelerating, and rough road surface modes. Based on the results, the control technique was confirmed to be effective. The results indicate that the control scheme used is efficient throughout the wide range of speeds.

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This paper presents a high performance squirrel-cage asynchronous motor (ASM) drive, proposed for high-speed electric vehicle (EV) propulsion. This is an indirect space vector control (IDSVC) scheme in the rotor flux frame of reference, in which the modeling is based on synchronously rotating coordinate system transformation. Space vector pulse width modulation (SVPWM) inverter fetches the controlled stator direct and quadrature axis responses from the speed and current controllers and supply necessary voltages to stator of ASM. The output voltage waveforms of SVPWM inverter are not sinusoidal in nature, which allows undesired harmonics at high frequency of operation. This due to inconsistent switching frequency. A second-order low-pass (SOLP) RLC filter with Butterworth approximation and was designed and connected in series with SVPWM inverter to grab harmonic free speed and torque profile during high speed operations. Similarly, another SOLP with a quality factor equal to 2 is designed and speed profiles of both filters are compared. The system is developed and simulated in MATLAB/SIMULINK to observe the speed and torque tracking capabilities. Simulation results show that the performance of drive under steady and dynamic states were good with Butterworth filter approximation with robust IDSVC scheme adopted over wide range speed-drive curve.