A wheel suspension system and a method for controlling the system. The wheel suspension system includes a first axle provided with wheels and a second axle provided with wheels. The first axle is connected to a first driveshaft portion via a first differential 6a and the second axle is connected to a second driveshaft portion via a second differential 6b. The system further includes angular speed sensors designed to detect the rotational speed of the axles, and/or the rotational speed of the respective wheels. The angular speed sensors are connected to an electronic control unit (ECU) which is designed to calculate a difference between the angular speed of the first and second axles, and/or a difference between the angular speed of the respective wheels by the use of input data from the angular speed sensors. The speed difference can be used as an indication of different wheel radius of the wheels. The system includes a coupling, e.g. a dog clutch arrangement, arranged in the driveshaft and positioned between the first and second drive shaft portions for changing the first and second drive shaft portions between being drivingly connected and disconnected.

A first vehicle includes: steering, brakes, memory, sensors, and processor(s) configured to: determine, with the sensors: the first vehicle's acceleration, a second vehicle's acceleration; compute a theoretical collision velocity (TCV) between the first vehicle and the second vehicle based on the accelerations; apply a function or generate a command based on the TCV and a selected coefficient of kinetic friction (COF).

Techniques are described for determining weight distribution of a vehicle. A method of performing autonomous driving operation includes determining a vehicle weight distribution that values for each axle of the vehicle that describe weight or pressure applied on a respective axle. The values of the vehicle weight distribution are determined by removing at least one value that is outside a range of pre-determined values from a set of sensor values. The method further includes determining a driving-related operation of the vehicle weight distribution. For example, the driving-related operation may include determining a braking amount for each axle and/or determining a maximum steering angle to operate the vehicle. The method further includes controlling one or more subsystems in the vehicle via an instruction related to the driving-related operation. For example, transmitting the instruction to the one or more subsystems causes the vehicle to perform the driving-related operation.

A vehicular collision avoidance system includes a sensor disposed at a vehicle for sensing exterior and forwardly of the vehicle. A processor processes sensor data captured by the sensor to determine the presence of a pedestrian ahead of the vehicle and outside a path of travel of the vehicle. The processor determines a projected path of travel of the pedestrian based on movement of the pedestrian. The processor determines where the forward path of travel of the vehicle intersects the projected path of travel of the pedestrian. The system, responsive at least in part to prediction that the pedestrian will be in the forward path of travel of the vehicle when the vehicle time to intersection elapses, adjusts the speed of the vehicle based at least in part on attentiveness of a driver of the vehicle and a driving condition of the vehicle.

An illustrative example method is for estimating a friction characteristic of a surface beneath a vehicle that has a plurality of wheels contacting the surface. The method includes determining a wheel speed of at least one of the wheels, determining a velocity of the at least one of the wheels separately from determining the wheel speed, determining a wheel slip of the at least one of the wheels based on the determined wheel speed and the determined velocity, and determining the friction characteristic based on the determined wheel slip. Determining the velocity separately from the wheel speed is accomplished using at least one detector that provides an output corresponding to a range rate, such as a RADAR or LIDAR detector.

Sensor data is received at a processor of a vehicle including at least one sensor, a plurality of axles, and a plurality of tires coupled to the plurality of axles. A determination is made by the processor if at least one tire from the plurality of tires is faulty based on the sensor data. A determination is made by the processor of at least one side of the vehicle and at least one axle from the set of axles associated with the at least one tire in response to the determining that the at least one tire is faulty. A determination is made by the processor of at least one remedial action to be performed by the vehicle based on the sensor data, the at least one side, and the at least one axle.

A control system for controlling one or more torque generating devices on a heavy-duty vehicle comprising a primary sensor system with a primary sensor control unit configured to interpret an output signal of the primary sensor system, wherein the primary sensor control unit is configured to determine a first load value associated with the heavy-duty vehicle, and one or more tire sensor devices mounted on one or more tires of the heavy-duty vehicle, and a tire sensor control unit configured to interpret an output signal of the one or more tire sensor devices, wherein the tire sensor control unit is configured to determine a second load value associated with the heavy-duty vehicle, wherein the control system is arranged to base control of the heavy-duty vehicle on the second load value in case of malfunction in the primary sensor system and/or in the primary sensor control unit.

A controller includes a processor programmed to determine, for a vehicle, a first control input based on input data and first reference parameters. The processor is further programmed to operate the vehicle according to the first control input. Based on operating data of the vehicle for an operating condition, the processor determines a second control input for the vehicle. Operating the vehicle according to the second control input reduces a cost of operating the vehicle relative to operating the vehicle according to the first control input. The processor is further programmed to determine, based on the second control input, second reference parameters. The controller generates a third control input based on the second reference parameters and the input data. A cost of operating the vehicle according to the third control input is reduced relative to the cost of operating the vehicle based on the first control input.

A driving assistance method for controlling an own vehicle by a controller in such a way that the own vehicle travels along a target travel trajectory includes: acquiring level-difference information of a level difference existing along a lane in which the own vehicle travels; and when, from the level-difference information, determining that the own vehicle is to climb over the level difference, generating the target travel trajectory in such a way that a level-difference climbing-over angle, which is an angle formed by the level difference and the target travel trajectory, is larger than a threshold value.

A system for supervisory control for eAWD and eLSD in a motor vehicle includes a control module, and sensors and actuators disposed on the motor vehicle. The sensors measure real-time motor vehicle data, and the actuators alter behavior of the motor vehicle. The control module receives the real-time data; receives one or more driver inputs to the motor vehicle; determines a status of a body of the motor vehicle; determines a status of axles of the motor vehicle; determines a status of each wheel of the motor vehicle; and generates a control signal to the actuators from the driver inputs and the body, axle, and wheel statuses. The control module also exercises supervisory control by actively adjusting constraints on the control signal to each of the actuators where actively adjusting constraints on the control signal alters boundaries of control actions in response to the one or more driver inputs.