Mathematical Model of Regenerative Braking for Hybrid Electric Vehicles Built in Simulink

I have developed a mathematical model for hybrid electric vehicle regenerative braking using MATLAB/Simulink. The model incorporates decision-making logic that evaluates whether to initiate regenerative braking based on real-time vehicle speed and battery State of Charge (SOC) parameters. Regenerative braking technology utilizes the electric motor's reverse operation to generate braking force while recovering kinetic energy, significantly improving the energy efficiency of hybrid vehicles. The implementation includes detailed modeling of three key subsystems: the power train system, braking system, and energy management system, with precise simulation of their interactions. The model employs conditional algorithms where threshold values for speed and SOC trigger the regenerative braking function, ensuring optimal energy recovery while maintaining vehicle safety. Through this mathematical model using Simulink blocks and control logic, I have gained deeper insights into the operational principles of regenerative braking in hybrid vehicles. The simulation results and system architecture provide valuable references for practical automotive braking system design and optimization, particularly for energy management strategies and control algorithm development.