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 vehicle information processing system includes a vehicle information processing device including one or more processors. The one or more processors are configured to receive input information including information on a wheel velocity of a vehicle, and calculate a velocity of the vehicle traveling on an expressway as a feature by using the input information. The input information is information that is received during a period in which a predetermined condition is satisfied out of a period in which the one or more processors receive the input information. The predetermined condition indicates that the vehicle is traveling on the expressway.

A method is provided for determining an adhesion potential of a tire mounted on a wheel and travelling over ground. The method utilizes a database constructed to contain information obtained by evaluating experimental data on an evolution of a rolling radius of the tire as a function of predetermined rolling conditions of the tire on ground of variable and known adhesion. Based on the information in the database, an estimation model (M.sub.adpot) of an adhesion potential is established by determining a function linking an adhesion potential (μ.sub.max) of the tire to a rolling radius (RRt) of the tire and to vehicle parameters. The rolling radius (RRt) of the tire is determined while the tire is rolling. The adhesion potential (μ.sub.max) of the tire is evaluated by application of the estimation model (M.sub.adpot) and as a function of the vehicle parameters.

Coordinates of a point, representing a current pair of states of a vehicle, can be determined to be outside of a first curve. An interior of the first curve, representing a first region of operation of the vehicle, can be characterized by values of forces produced by tires being less than a saturation force. A distance between the point and a second curve can be determined. An interior of the second curve, representing a second region of operation of the vehicle, can be characterized by an ability of an operation of a control system to cause the vehicle to change from being operated in the current pair of states to being operated in the first region of operation. A manner in which the vehicle changes from being operated in the current pair of states to being operated in a different pair of states can be controlled based on the distance.

There is provided a straddle type vehicle including a processing circuit. The processing circuit is configured to: change, upon receiving a boost signal from a boost input device, a target torque from a normal torque to a boost torque obtained by adding a predetermined boost amount to the normal torque; and correct, upon receiving a predetermined inclination signal from the posture detector, the target torque such that a torque change of the drive wheel when the target torque is changed from the normal torque to the boost torque is decreased as compared with a case where the inclination signal is not received.

A motor vehicle comprises a control device and a drive train having at least one electric traction motor, wherein the control device is adapted to activate at least one vibration element, which is coupled to at least one component of the motor vehicle and designed to put out a haptic signal which can be perceived by the driver of the motor vehicle, and/or the electric traction motor to generate at least one haptic signal in dependence on operating state information describing a current and/or predicted operating state of the drive train.

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.

A vehicle control method includes: acquiring information on acceleration, information on rotational speed of a drive wheel, and information on driving force; after a dropping state where a calculated speed indicative of a vehicle body speed calculated from the rotational speed is less than an estimated speed indicative of a vehicle body speed in a front-rear direction estimated from the acceleration has transitioned to a non-dropping state and a holding period in which the non-dropping state is held has passed, determining whether or not a reset condition to reset the estimated speed is satisfied; when the reset condition is satisfied, determining whether or not the driving force is less than a threshold value; and when the driving force is less than the threshold value, resetting the estimated speed and setting a current value of the calculated speed to a vehicle body initial speed used for estimating the estimated speed.

A driving consciousness estimation device includes a driving readiness estimation unit configured to estimate a driving readiness relating to a driving consciousness of the driver from a driver's reaction to the travelling environment, a driving task demand estimation unit configured to estimate a driving task demand which is an index required for the driver with respect to the driving readiness from the travelling environment, and an attention awakening unit configured to execute awakening of attention for the driver relating to the driving of the vehicle based on the result of comparison between the driving readiness and the driving task demand.

A method estimates tire pressure of vehicle. For each tire, signals or data indicative of angular velocity of the wheel with which the tire is associated are acquired. A subset of detected signals or data acquired in rectilinear vehicle travel condition is selected. Pressure relationship between tires of each pair of wheels of the same axle is determined by comparing the rolling radius of the wheel on which a first tire is mounted and the rolling radius of the wheel on which a second tire is mounted. A pressure relationship between tire pairs is determined for comparison between the mean value of the rolling radii of wheels of a first axle and the mean value of the rolling radii of wheels of a second axle. Ratios are calculated based on signals or data indicative of angular velocity of the wheels and on slippage of the drive wheels.