Fuzzy-Energy-Management-Based Intelligent Direct Torque Control for a Battery—Supercapacitor Electric Vehicle

Abstract

This paper presents a proposed fuzzy energy management strategy developed for a battery−super capacitor electric vehicle. In addition to providing different driving modes, the proposed strategy delivers the suitable type and amount of power to the vehicle. Furthermore, the proposed strategy takes into account possible failures in vehicle power sources. The speed and torque of the HEV traction machine are simultaneously controlled using a genetic algorithm that provides simultaneous tuning via the use of newly proposed cost functions that give the designer the ability to tradeoff and prioritize between the design variables to be minimized. The simulation results show that the intelligent speed and torque control and the fuzzy power management strategy improved the vehicle’s performance in terms of ripple minimization. The real-time simulation is conducted using the RT LAB simulator, and the results obtained correspond to those obtained in the numerical simulation using MATLAB/Simulink.

A Novel Design and Analysis Adaptive Hybrid ANFIS MPPT Controller for PEMFC-Fed EV Systems

“…Otherwise, the conductance of the system is reduced for optimizing the oscillations across MPP [25][26][27][28]. All the renewable energy-fed power electronics circuits generate ripples which are supplied to the ripple correlation block to generate the suitable duty signal to the DC-DC converter [29][30][31][32]. Due to this controller operation, the fuel stack system power conduction losses are reduced, and the entire system size is reduced.…”

Design of power supply system for portable aviation inspection equipment

“…In addition, the voltage is smooth when switching. The system has the advantages of low power consumption, fast response, and good electromagnetic compatibility [2] .…”

New coordinated drive mode switching strategy for distributed drive electric vehicles with energy storage system

“…Fuel economy 11 , vehicular communication systems 12 , intelligent vehicles 13 , 14 , unmanned transportation 15 , power management algorithms 16 , Power train architecture 17 , vehicle safety 18 , grid connected electric vehicles 19 , machine control 20 , 21 and power sources lifespan enhancement 22 , 23 are a prominent current trend in the realm of automotive engineering 24 .…”