An eco-friendly vehicle includes a motor, and a motor torque of the eco-friendly vehicle is controlled by determining road surface characteristics based on wheel behavior characteristics when controlling starting of the eco-friendly vehicle and by controlling the torque of the motor before a significant wheel spin occurs when the vehicle is started based on road characteristic determination results. A method of controlling the motor torque of the eco-friendly vehicle includes determining a wheel behavior characteristic of the vehicle, determining a road surface characteristic of a road on which the vehicle is located based on the wheel behavior characteristic of the vehicle, and controlling the motor torque of the vehicle based on the road surface characteristic.

A method is provided for dynamically determining a tire longitudinal force. The method includes determining a tire acceleration variable by an acceleration sensor arranged in a tire bead, determining a first time interval between a tire contact patch entry point and an acceleration vertex by a processor unit, and determining a second time interval between the acceleration vertex and a tire contact patch exit point by the processor unit. The method also includes determining a magnitude or direction of a tire longitudinal force variable comprising a tire longitudinal force by the processor unit from a symmetry shift detected between the first and second time intervals.

A safety and stability control method against automobile tire blowout, which is used for manned and unmanned driving vehicles and based on vehicle braking, driving, steering and suspension systems. The present method establishes tire blowout determination based on a tire pressure detection mode, a status tire pressure mode and a steering mechanics state mode, and uses a safety and stability control mode, model and algorithm, and control structure and process against automobile tire blowout. On the basis of a tire blowout state point, the vehicle braking, driving, steering, steering wheel steering force and suspension balancing control are carried out in a coordinated manner by entering and exiting a tire blowout control state and switching between a normal mode and a tire blowout control mode, so as to realize tire blowout control in which real or unreal tire blowout processes overlap. In cases where a tire blowout process state and the motion states of the wheel and vehicle with a blown tire are changed rapidly, the technical difficulties of the wheel and the vehicle being seriously unstable due to tire blowout and the extreme tire blowout state being difficult to control are overcome, solving the safety technical problems associated with automobile tire blowout.

A vehicle motion control system includes one or more input devices for generating one or more input signals associated with data indicative of a motion of the vehicle. The system further includes a computer, which has one or more processors. The computer further includes a non-transitory computer readable storage medium for storing instructions, such that the processor is programmed to compare a current tire state and a current tire prediction model to the data indicative of the motion of the vehicle. The processor is further programmed to calculate in real-time an adjusted tire state and an adjusted tire prediction model. The processor is further programmed to generate in real-time one or more actuation signals based on the adjusted tire state and the adjusted tire prediction model. The actuators in real-time adjust the motion of the vehicle in response to the actuator receiving the actuation signal from the processor.

A method for determining a tread depth of a tread of a tire during operation of a vehicle having the tire, a control device for a vehicle for determining a tread depth of a tread of a tire of the vehicle, and a system for a vehicle having such a control device and at least one electronic wheel unit, are provided. Provision is made to determine the tread depth based on a determined instantaneous dynamic wheel radius of a wheel, having the tire, of the vehicle and a determined instantaneous dynamic inside radius of the tire. In addition, at least one further first operating parameter of the tire, selected from the group including an instantaneous roadway gradient, an instantaneous vehicle drive mode and an instantaneous tire material expansion, is determined and taken into consideration.

A method is provided for dynamically determining a tire longitudinal force. The method includes determining a tire acceleration variable by an acceleration sensor arranged in a tire bead, determining a first time interval between a tire contact patch entry point and an acceleration vertex by a processor unit, and determining a second time interval between the acceleration vertex and a tire contact patch exit point by the processor unit. The method also includes determining a magnitude or direction of a tire longitudinal force variable comprising a tire longitudinal force by the processor unit from a symmetry shift detected between the first and second time intervals.

A method for vehicle following control based on the real-time calculation of dynamic safe following distance. A preset vehicle deceleration model with three preset behavior adjustment parameters is used to obtain the absolute braking distance models of the leading and following vehicles, then to further establish the dynamic safe following distance model for calculating the dynamic safe following distance between the following vehicle and the leading vehicle in real time. In the process of vehicle following operation, the current dynamic safe following distance is compared with the current actual following distance to determine whether to adjust the following behavior of the following vehicle and how to control the following vehicle to move in safety, efficiency and smoothness.

A method for controlling an actuator system of a motor vehicle includes utilizing a model predictive control (MPC) module with an MPC solver to determine optimal positions of one or more actuators of the actuator system. The method further includes receiving a plurality of actuator system parameters, and triggering the MPC solver to generate one or more control commands from plurality of actuator system parameters. The method further includes applying a cost function to reduce a steady-state tracking error in the one or more control commands from the MPC solver and applying the one or more control commands to alter positions of the one or more actuators, and applying a penalty term to the steady-state predictions of positions of the plurality of actuators to limit a difference between a steady-state prediction of the actuator system and a solution from the MPC solver.

A vehicle has a steering mechanism coupled to a wheel of the vehicle. The steering mechanism is adjustable to alter a vehicle trajectory. The vehicle also comprises a collision imminent steering (CIS) control system. The collision imminent steering control system includes a controller in electrical communication with the steering mechanism and is configured to adjust a steering sequence of the steering mechanism to alter the vehicle trajectory when an obstacle is detected at a distance from the vehicle less than a calculated safe braking distance. The controller simultaneously calculates a predicted optimal vehicle path around the obstacle and a steering sequence determined to follow the predicted optimal vehicle path around the obstacle using feedback received by the controller.

A control system (10) is suitable for use in one's own motor vehicle (12) and is set up and intended to determine the current driving situation of one's own motor vehicle (12) and other motor vehicles (28, 40) in the surroundings of one's own motor vehicle (12) by means of a surroundings sensor system and to assign the other motor vehicles (28, 40) to specific movement paths or not. The control system is set up and intended based on the surroundings data provided to determine at least one path property for a future movement path of one's own motor vehicle (12), based on the surroundings data provided for every other motor vehicle (28, 40) in the surroundings of one's own motor vehicle (12) and in relation to at least two reference points of the respective other motor vehicle (28, 40) to determine a state vector, to transform the respectively determined state vector for each of the other motor vehicles (28, 40) into path coordinates and based on the at least one path property for one's own motor vehicle (12) and, to determine based on the respective transformed state vector, a probability distribution of a position of each of the other motor vehicles (28, 40) corresponding to each of the at least two reference points of the respective other motor vehicle (28, 40).