Control and energy management of hybrid electric vehicles traction chain based on BLDC motor

Abstract

This work focuses on the development of energy management strategy for hybrid electric vehicles (HEVs) using battery and super-capacitors based on fuzzy logic control . The work is divided into two parts. In the firs tpart , an energy management strategy is developed for a hybrid energy storage system (HESS) consisting of batteries and super-capacitors. Fuzzy logic is utilized to intelligently distribute and control power, taking into account factors such as state of charge regulation and degradation of on-board energy sources. This approach ensures optimal utilization of available energy under different circumstances. The second part of the work focuses on motor control in HEVs. Takagi-Suegeno fuzzy logic control is employed to regulate the vehicle’s speed, allowing for adaptive and efficient control in various driving conditions. Simulation tests using MATLAB/Simulink software have been performed in order to validate the proposed techniques. The obtained results will be analyzed and discussed. By integrating fuzzy logic techniques into energy management and motor control, this work contributes to the development of sustainable and efficient transportation systems. The outcomes aim to reduce emissions, improve fuel efficiency, and promote agreener future for the automotive industry.