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 method includes identifying an actual path and a desired path for a vehicle, where the actual path represents an expected path for the vehicle based on current operation of the vehicle and the desired path represents an estimated path that a driver of the vehicle wants to follow. The method also includes identifying one or more errors between the actual path and the desired path. The method further includes determining how to apply torque vectoring to cause the vehicle to more closely follow the desired path based on the one or more errors. In addition, the method includes applying the torque vectoring to create lateral movement of the vehicle during travel.

A predetermined relationship among various loading states, stability factor (Kh) of a vehicle and lateral acceleration (Gy) of the vehicle is stored in a storage device (30A) as a reference relationship (i.e. a map). Information regarding a lateral acceleration (Gy) of the vehicle is acquired using a lateral acceleration sensor (40). An estimated value of the stability factor (Kh) of the vehicle is calculated on the basis of vehicle travelling data when turning. A loading state of the vehicle is estimated on the basis of the area in which the estimated value of the stability factor and the lateral acceleration of the vehicle which is at the same point in time as the vehicle travelling data which were provided for the calculation of the estimated value belong in the reference relationship.

A traction control system for a motor vehicle includes a controller configured to initiate a traction control intervention at one or more vehicle wheels. The controller is configured to inhibit the traction control intervention in dependence on a reduced wheel load condition in said one or more wheels. The reduced wheel load condition is identified based on at least one of a signal indicative of vehicle pitch and a signal indicative of vehicle heave.

A method of setting the rides height of the air springs and air pressures of the tires, including receiving a user selected setting or preprogrammed ride height settings; sensing a ride height of, and air pressure within, each of the air springs; determining the weight of the vehicle based on the sensed ride height and air pressure within each of the air springs; providing specified ride heights for the left and right front and rear air springs; determining specified air pressures for the left and right front and rear tire inflators, based upon the determined weight of the vehicle and selected setting; inflating the left and right front and rear air springs to the specified ride heights; and inflating the left and right front and rear tires to the specified air pressures.

A vehicle drive force control method according to the present invention includes calculating an estimated friction circle on the basis of longitudinal and lateral accelerations of a vehicle, limiting a drive force of the vehicle depending on a size of the estimated friction circle, and limiting a change rate of the size of the estimated friction circle during vehicle traveling on the basis of a tire generation force. The method further the change rate as the tire generation force increases.

A system for weight monitoring includes a plurality of load sensors that are positioned between a deck floor and a frame mount of a truck, and distributed within a truck bed of the truck to sense a load distribution of a load applied on the truck bed to generate a load distribution data. Each of the load sensors includes a respective through hole load transducer, a respective bolt to fix the through hole load transducer to the truck, and a respective deck cross-member positioned on the load transducer to transfers a mechanical force generated by the load onto the through hole load transducer. The system also includes one or more cameras arranged above the truck bed to monitor a load movement of the load, and a microprocessor configured to receive the load distribution data, determine a vehicle operating parameter accordingly, and transmit the vehicle operating parameter to a vehicle controller.

To achieve an information processing apparatus and a mobile apparatus that individually calculate an inclination of the mobile apparatus itself and an inclination of a traveling surface. A measurement value of an air pressure sensor that measures an air pressure of a tire of the mobile apparatus is received, and the inclination of the mobile apparatus is calculated on the basis of the tire air pressure. Furthermore, a measurement value of an absolute pressure sensor attached to the mobile apparatus is received, and an angle of the traveling surface on which the mobile apparatus travels and a position of the mobile apparatus are calculated on the basis of a horizontal movement amount of the mobile apparatus and a vertical movement amount that is calculated on the basis of the measurement value of the absolute pressure sensor. Furthermore, a plurality of different state values such as inclination information of the traveling surface that changes with time transition is input to a Kalman filter, and state values that have already been acquired are updated on the basis of the newly input state values to generate and output the latest state values.

A method of calculation a vehicle load comprising a first vehicle load value based at least on air pressures in air springs and height data of suspension of a vehicle axle, determining a second vehicle load value based on a change of track width of the vehicle axle, and calculating the vehicle load based on the first vehicle load value and the second vehicle load value.

A yaw motion control method for a four-wheel distributed vehicle includes: calculating the steering response of the vehicle in a steady state using a nonlinear vehicle model in reference with an understeering degree while constraining by the limit value of the road surface adhesion condition according to the sideslip angle response and the vertical load change in the steady state, calculating the lateral force response and the self-aligning moment response of the tires in the steady state by a magic tire formula, calculating the required additional yaw moment by using the yaw motion balance equation, reasonably distributing the generalized control force to the four drive motors through the optimization algorithm in combination with the current driving conditions; finally, off-line storing and retrieving the calculation results of the off-line distribution of different vehicle parameters required by different upper layers to distribute the torques to the four drive wheels.