<![CDATA[The design and modeling of a Regenerative Braking System (RBS) based on adaptive Fuzzy-PID control in electric vehicles is covered in this work, along with a comparison with a traditional RBS. The performance of regenerative braking in electric vehicles still faces challenges in maximizing energy conversion efficiency during braking and maintaining system stability amid dynamic changes in operating conditions. The system was developed and simulated using MATLAB/Simulink to analyze dynamic performance under various operating conditions. The proposed system aims to improve energy efficiency by converting kinetic energy during the braking process into electrical energy, which is then stored in the battery. The Fuzzy-PID controller is designed to adjust PID parameters based on system conditions adaptively. Simulations were conducted for 20 seconds under scenarios that varied acceleration and deceleration conditions. System performance evaluation was based on State of Charge (SoC), battery voltage, and battery current parameters to assess energy conversion effectiveness and system stability. The simulation results show that the Fuzzy-PID system performs better than the conventional RBS system, as indicated by an increase in the State of Charge (SoC) value of approximately 0.005%. Additionally, the Fuzzy-PID system demonstrates voltage and current responses during regenerative braking that yield higher voltage and greater regenerative current than the conventional system. The results of this study indicate that the Fuzzy-PID method is an effective approach for improving energy efficiency and system stability in regenerative braking systems for electric vehicles.]]>
