Abstract:

The research article explores the impact of braking concepts in electric vehicles, focusing on regenerative braking systems and energy consumption aspects. The electric vehicle system is modeled and simulated using MATLAB/Simulink software, and a dataset is developed using a virtual simulation environment. The dataset is used in a neural network model based on adaptive neuro fuzzy logic, and system performance is analyzed. The study focuses on a front-wheel driven electric vehicle, using a standard drive cycle input. Significant parameters evaluated include braking effects, kinetic energy, regenerative braking torque, battery state of charge, and motor torque. Notable observations include torque generation and intended braking force requirements based on acceleration, deceleration, and braking conditions. The regenerative capability of the proposed system design is illustrated, and the battery state of charge can be revived throughout the drive with a steady increase. Transitions of motor torques between tractive and regenerative phases are also explained for clarity and brevity.