Design of a fuzzy-based controller for electric vehicles on Indian roads

Abstract

This paper presents a novel approach with a rule-based acceleration control strategy for electric vehicles. This proposal has a straightforward goal for minimizing the complexities of the existing controllers used in vehicles. The use of fuzzy logic enables the heuristic rule-based technique to be used, as an efficient solution. The fuzzy logic controller designed here is a combination of fuzzy decision maker and fuzzy speed controller. The fuzzy decision maker is designed in such a way that it takes into account the battery's state of charge, speed, type of terrain, road load, brake, acceleration, and gear as input parameters, which gives the reference speed to the fuzzy speed controller according to the changing situations. The fuzzy speed controller is designed for the d.c. chopper-fed drive for the seperately excited motor. The fuzzy logic controller determines the vehicle speed according to the scenarios in Indian road conditions. Simulation results would specify the performance of the new proposed fuzzy controller. The results have been compared with the conventional controller proportional integral. From the results it has been inferred that the range of the vehicle has been increased, with less error in speed, with the fuzzy logic controller, than with the classical proportional integral controller. This controller has also been implemented in the embedded chip, field programmable gate array (FPGA) and results shown experimentally, which is the future vehicle.