Almusawi, Husam AbdulkareemStocco Richter, Camila2025-09-042025-09-042024-12-02https://hdl.handle.net/2437/397304This thesis investigates the development of a temperature-dependent regenerative braking system for electric vehicles, describing the implementation of fuzzy logic control to allocate braking force between regenerative and conventional braking techniques. The control strategy employs thermal feedback techniques that improve energy recovery dynamically, while simultaneously mitigating the risks associated with overheating and battery degradation. Simulations conducted with MATLAB/Simulink demonstrate a 10% improvement in driving range and a 16.7% extension in operational cycles. The proposed system exhibited efficiencies of 0.58 in POWER mode and 0.73 in regenerative mode, while simultaneously achieving a reduction in energy losses associated with the motor and controller by 63.6%. The findings indicate the significance of regenerative braking within the context of electric vehicle research and development.69enRegenerative BrakingFuzzy Logic ControlElectric VehicleEngineering Sciences::EngineeringHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.