Performance Analysis of MPBC with PI and Fuzzy Logic Controllers Applied to Solar Powered Electric Vehicle Application

One of the more complicated cases is managing the energy between multiple power sources that are utilized to power electric cars (EVs). Power management is often carried out following the load requirements of electric vehicles. By considering the speed and current values of the motor a novel controller is modeled named as Measurement of parameter-based controller (MPBC) which is used to obtain the smooth transition between two passive energy sources battery and Supercapacitor (SCap). Further, the proposed MPBC is combined with fuzzy logic (FLC) and proportional-integral (PI) controllers, forming two different hybrid controllers named MPBC+FLC and MPBC+PI, utilized to attain proper power management. The main function of traditional controllers FLC/PI is to generate the pulse signals to the switches present in the bidirectional converters at both battery and SCap end. On the other hand, the MPBC is utilized to control the pulse signals based on the current and speed values of the electric motor. Futcher's final MATLAB/Simulink model is built with the proposed control technique with two hybrid controllers by considering different power-generating conditions of the PV array, to know the effectiveness of the individual model.