Abstract: Provided is a vehicle control method for protecting a vehicle and a driver during forward driving while in reverse gear of an electric vehicle, the vehicle control method including: detecting a gear position of a vehicle; generating a negative torque command to a motor of the vehicle by detecting the gear position as R stage; detecting a vehicle speed of the vehicle; and displaying a warning light or generating a warning sound through a cluster of the vehicle when the vehicle speed is detected as a positive vehicle speed.

Abstract: In one aspect, an operating method of an intelligence vehicle driving control system is provided that comprises: a collecting step of collecting big data including a wheel torque and a speed for every vehicle type and traffic information; a torque calculating step of learning the big data using a predetermined machine learning model and inputs a specific desired speed profile to the machine learning model to calculate a motor torque of a driving vehicle; and an optimal speed profile deriving step of calculating an energy consumption required to generate the calculated motor torque using a predetermined dynamic programming method and a reverse vehicle dynamic model and deriving an optimal speed profile in which the energy consumption is minimized.

Abstract: Provided is a vehicle control method for protecting a vehicle and a driver during forward driving while in reverse gear of an electric vehicle, the vehicle control method including: detecting a gear position of a vehicle; generating a negative torque command to a motor of the vehicle by detecting the gear position as R stage; detecting a vehicle speed of the vehicle; and displaying a warning light or generating a warning sound through a cluster of the vehicle when the vehicle speed is detected as a positive vehicle speed.

Abstract: In one aspect, an operating method of an intelligence vehicle driving control system is provided that comprises: a collecting step of collecting big data including a wheel torque and a speed for every vehicle type and traffic information; a torque calculating step of learning the big data using a predetermined machine learning model and inputs a specific desired speed profile to the machine learning model to calculate a motor torque of a driving vehicle; and an optimal speed profile deriving step of calculating an energy consumption required to generate the calculated motor torque using a predetermined dynamic programming method and a reverse vehicle dynamic model and deriving an optimal speed profile in which the energy consumption is minimized.