A Unified Self-Super Lift Luo Converter-Based PA-PID and RDP Controlling Algorithms for EV Application Systems

Abstract

Recently, electric vehicles (EVs) are increasingly used due to its cost-efficiency, reduced maintenance, no fuel consumption, and eco-friendly nature. But, designing the proper converter and controlling units for controlling the speed of the motor used in the EVs is considered as a challenging task. Most of the conventional works developed different types of DC–DC converters and optimization-based controlling topologies for increasing the output of voltage fed to the EVs. Since, it faces problems related to the factors of high power loss, increased harmonic contents, time measures, and inefficient computational operations. Hence, this article objects to developing an advanced and intelligent converter and controlling topologies for improving the overall performance and efficiency of EVs. The main contribution of this work is to develop the Self-Super Lift Luo (SSLLuo) DC–DC converter for regulating and highly boosting the output voltage with reduced harmonics. Also, an optimization-based Phasor Algebraic (PA-PID) Controlling mechanism is developed for generating the controlling signals in order to operate the switching components of the converter circuit. In addition to that, the Regressive Distributed Pattern (RDP) controller is designed for efficiently controlling the current limit of motor the driving circuit. During validation, both the simulation and comparative analysis have been conducted for proving the efficiency and optimal performance of the proposed system.