Adaptive Speed Controller for Electric Vehicle using ADAS Technology

Statics says about 1214 (approx.) accidents are occurring every day in Indian roads. Electric vehicle comes to existence but its safety infrastructure is not well versed yet. Some peoples are hesitating to use Electric vehicle due to the lack of safety features. To improve the Electric vehicle safety, vehicle should be partially automated. So far Advanced Driver Assistance System (ADAS) is treated as fancy or optional feature. Therefore, to solve this issue ADAS specific controller is developed for 2 - wheelers, 3- wheelers and 4- wheelers. The 3-phase inverter for BLDC motor is interfaced with Lidar, Radar, Camera, and algorithm. These sensor helps to sense the external parameter like other vehicles, pedestrians, board signs and other road barriers. The ADAS features are Adaptive Cruise Control (ACC), Driver Drowsiness Detection (DDD), Forward Collision Warning System (FCWS), Parking Assistant (PA), Lane Departure Early Warning System (LDEWS). In this paper, Adaptive Cruise Control is simulated using MATLAB - Simulink which is used to sense the forward vehicle’s speed and control our vehicle’s speed according to the situation. These decisions are made by the Microcontroller and decision-making algorithm which implemented within the ADAS system.