An Improved Power Management Algorithm for Differential Four Wheel Drive

Abstract

In this thesis, Open-End Winding Induction Motors based Differential 4 Wheel Drive topology is developed for electric vehicle power train. The electric vehicle power train consists of 2 open end winding induction motor one as front motor drive another as rear motor drive. Each side of the stator of the motor is powered using 2-level Voltage Source Inverter, resulting a 3-level inverter output. An improved fuzzy based Direct Torque Controller is used to control the switching states of the four inverters with the aim of reducing the torque ripples, reducing the steady state speed error, limiting the switching frequency and achieving a stable operation. The mathematical model of the drive is presented. An experimental prototype of the drive is designed, fabricated and tested in the laboratory. The drive has built in fault tolerant capability. The satisfactory operation of the drive is verified by simulation and also through experimental test for normal as well as fault conditions for the entire drive cycle under different driving conditions as specified by the federal test procedure 75. The simulation as well as experimental results match with that of the analytical observations. The performance of the proposed fuzzy DTC is compared with that of the DTC and seven level DTC. The comparative results show the improved performance of the proposed fuzzy DTC.

Date of Award	Jun 2021
Original language	American English