Various applications for use of mass estimations of a vehicle, including to control operation of the vehicle, sharing the mass estimation with other vehicles and/or a Network Operations Center (NOC), organizing vehicles operating in a platoon and/or partially controlling the operation of one or more vehicles operating in a platoon based on the relative mass estimations between the platooning vehicles. When vehicles are operating in a platoon, the relative mass between a lead and a following vehicle may be used to scale torque and/or brake commands generated by the lead vehicle and sent to the following vehicle.

The invention relates to a method and a system for determining process data of a work process carried out by an implement based on the determination of a moved mass by a weighing system of the implement and the detection of a parameter concerning a state of the implement and/or a work step, wherein with reference to these and further data a prediction value concerning the remaining part of the current work process is determined and on the basis of which information on the assistance is indicated to the operator of the implement, and to an implement comprising such a system.

Method for determining the mass of a vehicle, the method having at least the following steps: at a first point in time, a first driving force and a first longitudinal vehicle acceleration are determined. At a second point in time, which is a defined interval away from the first point in time or is within a defined time interval after the first point in time, a second driving force and a second longitudinal vehicle acceleration are determined. A driving force difference is determined as a function of the first driving force and the second driving force. A longitudinal acceleration difference is determined as a function of the first longitudinal vehicle acceleration and the second longitudinal vehicle acceleration. The mass of the vehicle is determined as a function of a quotient of the driving force difference and the longitudinal acceleration difference.

A method, for evaluating the variation in the dynamic load borne by a tire comprising a front axle and a rear axle, comprises steps during which: the pressure of the air contained inside the tire is measured, a difference in load borne by the tire is determined as a function of the transfer of the total load of the vehicle between axles and of the position of the tire on the vehicle and, using a tire model that is preestablished, a pressure differential is determined, a corrected pressure value is determined, on the basis of the corrected pressure values, a reference pressure is determined, and the difference between the measured pressure in the reference pressure is calculated, and the variation in dynamic load borne by the tire is determined on the basis of the model of the tire.

Controlling a maximum vehicle speed for an industrial vehicle includes determining, by a processor of the industrial vehicle, a torque applied to the traction wheel of the industrial vehicle; converting the torque to an equivalent force value; and determining an acceleration of the industrial vehicle while the torque is applied to the traction wheel. Additional steps include calculating a load being moved by the industrial vehicle, based at least in part on the acceleration and the equivalent force value; and controlling the maximum speed of the industrial vehicle based on the calculated load being moved by the industrial vehicle.

Disclosed is a method for detecting an unsecured load in an especially automatically drivable vehicle by means of a controller, wherein measurement data in the form of lateral accelerations and/or linear accelerations of the vehicle acquired by at least one acceleration sensor are received, a time interval for detecting the unsecured load is started when the measured lateral accelerations or linear accelerations exceed a threshold value, during the time interval started measurement data acquired by at least one sensor are received and derivatives with respect of time of the received measurement data are calculated, an event is counted when the derivatives with respect of time of the measurement data exceed the one threshold value, and the presence of an unsecured load is detected when a minimum number of counted events is reached that are counted during the started time interval.

A system of improved weighing utilizes accelerometers to compensate for measurement dynamics and non-level sensor orientation. Fill level of remote combines can be estimated by utilizing their historical harvesting performance and elapsed time or area harvested. Failure and degradation of weight sensors is detected by testing sensor half bridges. Loading and unloading weights can be tied to specific vehicles by utilizing RF beacons. Display location diversity is enhanced utilizing a mirror located as necessary while reversing the displayed image.

A method at a computing device, the method including obtaining sensor data for a vehicle providing vibration frequency and magnitude; calculating an energy for each of a low frequency passband and a high frequency passband of a bandpass filter pair; finding an energy ratio based on the energy for the low frequency passband and the energy for the high frequency passband; applying weighting constants to each of the energy for the low frequency passband, the energy for the high frequency passband and the energy ratio to calculate a decision variable; and finding that the vehicle is unloaded if the decision variable is below a threshold and finding that the vehicle is loaded if the decision variable is above a threshold.

A method at a sensor apparatus affixed to a transportation asset. The method includes calibrating the sensor apparatus by initiating a vertical impact at the transportation asset, measuring spring oscillation and creating a model of the transportation asset. The method further includes detecting, subsequent to the calibrating, an impact event at the sensor apparatus. The method further includes measuring spring oscillation due to the impact event at the sensor apparatus and using the measured spring oscillation in the model created during calibration to create a load mass estimate for the transportation asset.

A method determines the total mass of an automotive vehicle on the basis of data of a communication network and parameters of the vehicle, in which an estimation of the total laden mass (mv,est) of the vehicle, of the speed of the vehicle (vest) and of the slope of the road (αest) is determined at an instant (k) by applying the fundamental equation of dynamics and as a function of the values of the total mass of the vehicle, of the speed of the vehicle and of the slope of the road at a previous instant (k−1).