Published Paper Details:

The rapid advancement of Electric Vehicle (EV) technology has increased the demand for accurate modelling, simulation, and optimization techniques to improve vehicle performance, energy efficiency, and reliability. In modern transportation, electric mobility is gaining significant importance due to government initiatives aimed at reducing greenhouse gas emissions. Among various EV technologies, regenerative braking plays a crucial role in enhancing energy efficiency by recovering kinetic energy during deceleration and converting it into electrical energy for battery charging. Unlike conventional braking systems, which dissipate energy as heat, regenerative braking improves energy utilization and reduces mechanical brake wear. This paper presents the modelling and simulation of an Advanced Regenerative Braking System (RBS) for an electric vehicle using MATLAB. The proposed model incorporates vehicle longitudinal dynamics, blended braking control, regenerative torque generation, battery State of Charge (SOC) monitoring, and energy recovery estimation. Numerical modelling enables efficient real-time analysis of EV performance under different driving conditions while reducing development time and cost. Simulation results demonstrate effective braking performance and energy recovery capability. The proposed system recovers approximately 30% of the vehicle's initial kinetic energy and stores it in the battery, thereby improving overall energy efficiency and extending the driving range of the vehicle. The developed model provides a reliable platform for further research and optimization of regenerative braking strategies in electric vehicles.