A vehicle includes a front wheel and a rear wheel, a first weight sensor for detecting an axle weight of the front wheel, a second weight sensor for detecting an axle weight of the rear wheel, and an acceleration sensor for detecting a deceleration of the vehicle. The vehicle further includes a memory for storing a weight value of the vehicle and an inter-axle distance value of the vehicle and a processor configured to control driving of the vehicle and, when braking during driving, to obtain a value of a center of gravity point based on the detected weight values, the deceleration, and inter-axle distance of the vehicle. The processor is configured to control the deceleration based on the obtained value of the center of gravity point. The vehicle includes a braking device for performing braking in response to a control command of the processor.

The object of the present invention is a system (1) for the estimation of one or more parameters (L, D) related to the load of a vehicle. The system comprises: one or more sensors for detecting one or more kinematic quantities of the vehicle (I) suitable to generate signals representing said vehicle kinematic quantities; one or more modules (2) for determining one or more frequency spectra pairs (FFT1,FFT2), each pair associated to one of said one or more vehicle kinematic quantities (I), from the signal representing the respective vehicle kinematic quantity filtered in a first and in a second predetermined frequency bands; One or more modules (7) for determining said one or more parameters (L, D) related to the load of the vehicle, from said one or more frequency spectra pairs (FFT1,FFT2).

A method for determining vehicle characteristic variables of a motor vehicle. The motor vehicle has active dampers which can set adjusting forces at the respective wheel suspensions in order to be able to raise and/or lower the body of the motor vehicle and which can also measure the acting forces. Specific predefined adjusting forces of the active dampers are imparted in order to ascertain vehicle characteristic variables from the resulting adjustment and the resulting measured forces.

A method for controlling an electric four wheel drive hybrid vehicle includes steps of: receiving, by a controller, a longitudinal acceleration of the hybrid vehicle corresponding to a demand torque of a driver of the hybrid vehicle; and determining, by the controller, a torque distribution ratio between a front wheel drive torque and a rear wheel drive torque of the hybrid vehicle based on a weight moving ratio of the hybrid vehicle corresponding to the received longitudinal acceleration.

Method for monitoring the travel path of an industrial truck, with the steps of: determination of a braking distance by a control device of the industrial truck on the basis of at least one operating parameter of the industrial truck, adjustment of a travel path area monitored by a monitoring device on the basis of the determined braking distance by adjusting the alignment of the monitoring device, deceleration of the industrial truck when an obstacle enters the travel path area monitored by the monitoring device.

A method for adjusting an estimated height of the center of gravity (HCOG) value of a vehicle includes concomitant calculations, based on parameters dependent on the HCOG value and parameters independent from the HCOG value. The method further comprises the adjustment of a parameter related to the HCOG value.

Methods and systems are provided for an improved system and method for validating vehicle lateral velocity estimation. The provided system and method employ an efficient validation algorithm to detect lateral velocity estimation faults. The method and system are robust to road uncertainties and do not require redundant estimations or measurements. The provided system and method offer a technological solution for real time validation of lateral velocity estimation using already existing vehicle sensors, and are independent of (i) road condition information, (ii) wheel torque information, (iii) tire model information, and (iv) tire wear information.

A computer implemented method for determining optimal values for operational parameters for a model predictive controller for controlling a vehicle, can receive from a data store or a graphical user interface, ranges for one or more external parameters. The computer implemented method can determine optimum values for external parameters of the vehicle by simulating a vehicle operation across the ranges of the one or more operational parameters by solving a vehicle control problem and determining an output of the vehicle control problem based on a result for the simulated vehicle operation. A vehicle can include a processing component configured to adjust a control input for an actuator of the vehicle according to a control algorithm and based on the optimum values of the vehicle parameter as determined by the computer implemented method.

A vehicle is provided including a plurality of wheel assemblies, a body supported on the plurality of wheel assemblies and having a cargo area for receiving a cargo load, a load sensing system configured to sense a vehicle load and generate vehicle load signals indicative of the sensed vehicle load, and an object recognition system configured to detect one or more objects in the cargo area and recognize the one or more objects. The vehicle also includes a controller processing the recognized one or more objects and determining dimensions of the cargo load and an estimated center of gravity of cargo load based on the dimensions of the one or more objects in the cargo area, and generates an output indicative of the estimated center of gravity of the cargo load.

In one embodiment, a request is received to turn the autonomous driving vehicle (ADV) from a first direction to a second direction. In response to the request, a number of segment masses of a number of segments of the ADV are determined. The segment masses are located on a plurality of predetermined locations within a vehicle platform of the ADV. A location of a mass center for an entire ADV is calculated based on the segment masses of the segments of the ADV, where the mass center represents a center of an entire mass of the entire ADV. A steering control command based on the location of the mass center of the entire ADV for steering control of the ADV.