The aim of this study is to model the brushless direct current motors and regenerative braking system used in electric vehicles using intelligent control approaches. Type-2 fuzzy logic control model is used as an intelligent control method. The application of regenerative braking extends the driving range of electric vehicles. In this study, an innovative regenerative braking system is presented. Speed control of brushless direct current motor and control of regenerative braking system are provided by Type-2 fuzzy logic control. Type-2 fuzzy logic control outperforms other solutions in terms of modeling uncertainties, generating new solutions, robustness, and efficiency. Type-2 fuzzy logic control is built on Matlab/M-file platform. The simulation in which the experimental studies were carried out was created on the MATLAB/Simulink platform. With this simulation study, battery charge status, battery current and brushless direct current motor speed values were obtained. The simulation results show that Type-2 fuzzy logic control can effectively control regenerative braking system. The regenerative braking system maintains its braking quality, while the electric vehicle slows it down at a safe driving distance. In addition, it is clearly seen in the results that the brushless direct current motor in the electric vehicle can increase the driving distance by charging the vehicle battery, thanks to its use as an alternator during braking.