An evaluation apparatus for evaluating a predefined trajectory hypothesis for a vehicle includes a calculation unit, a detection unit and an assigning unit. The calculation unit is configured to calculate at least one necessary driving parameter for the vehicle to follow the predefined trajectory hypothesis. The detection unit is configured to detect a current driving parameter of the vehicle. The assigning unit is configured to assign a probability value for the vehicle to follow the predefined trajectory hypothesis using the current driving parameter and the necessary driving parameter.

An evaluation apparatus for evaluating a predefined trajectory hypothesis for a vehicle includes a calculation unit, a detection unit and an assigning unit. The calculation unit is configured to calculate at least one necessary driving parameter for the vehicle to follow the predefined trajectory hypothesis. The detection unit is configured to detect a current driving parameter of the vehicle. The assigning unit is configured to assign a probability value for the vehicle to follow the predefined trajectory hypothesis using the current driving parameter and the necessary driving parameter.

The present disclosure concerns a safety system for a vehicle. The vehicle includes a tracking unit and at least one chassis sensor. The safety system may receive sensor data from the at least one chassis sensor and trusted data from the tracking unit, and then may detect an inconsistency between the sensor data and the trusted data. In response to the detection of the inconsistency, the safety system may block at least parts of the sensor data from the at least one chassis sensor.

An estimation device is provided with a braking-driving force acquiring unit that acquires, based on a signal from a sensor that detects a force, braking-driving force information as information indicating a braking force or a driving force applied to wheels of the vehicle; a wheel load acquiring unit that acquires, based on the braking-driving force information, a wheel load received by the wheels from a road surface; and an estimation unit that estimates, based on a value of the wheel load of each wheel included in the vehicle, a gravity center position of the vehicle.

An estimation device is provided with a braking-driving force acquiring unit that acquires, based on a signal from a sensor that detects a force, braking-driving force information as information indicating a braking force or a driving force applied to wheels of the vehicle; a wheel load acquiring unit that acquires, based on the braking-driving force information, a wheel load received by the wheels from a road surface; and an estimation unit that estimates, based on a value of the wheel load of each wheel included in the vehicle, a gravity center position of the vehicle.

A travel controller executes a first correction process on a request value when the vehicle is traveling on an uphill road, and executes a second correction process on the request value when the vehicle is traveling on a downhill road. The first correction process corrects the request value such that the traveling speed is higher than that in a case in which the first correction process is not executed. The second correction process corrects the request value such that the traveling speed is lower than that in a case in which the second correction process is not executed. If hard braking of the vehicle is requested during execution of the first correction process, the travel controller sets a correction amount of the request value to a lower value than that in a case in which hard braking of the vehicle is not requested.

Methods and systems for controlling a hydromechanical transmission are proposed. In one example, a control method for a hydrostatic unit of a hydromechanical variable transmission (HVT) is presented, comprising controlling the hydrostatic unit via a feedforward control architecture including a non-linear, multi-coefficient model, wherein the hydrostatic unit comprises a hydrostatic pump and a hydrostatic motor. A desired differential pressure of the hydrostatic unit or a desired hydraulic pump displacement may be used as inputs for the model, where the model's output is a pressure difference for a pump control piston coupled to a swash plate of the hydrostatic unit. Use of the non-linear model permits the hydrostatic unit to be controlled based on load, speed, and/or torque, thereby increasing the adaptability of the control system.

Methods and systems for controlling a hydromechanical transmission are proposed. In one example, a control method for a hydrostatic unit of a hydromechanical variable transmission (HVT) is presented, comprising controlling the hydrostatic unit via a feedforward control architecture including a non-linear, multi-coefficient model, wherein the hydrostatic unit comprises a hydrostatic pump and a hydrostatic motor. A desired differential pressure of the hydrostatic unit or a desired hydraulic pump displacement may be used as inputs for the model, where the model's output is a pressure difference for a pump control piston coupled to a swash plate of the hydrostatic unit. Use of the non-linear model permits the hydrostatic unit to be controlled based on load, speed, and/or torque, thereby increasing the adaptability of the control system.

A vehicle includes one or more transceivers configured to communicate with a server; and a controller programmed to responsive to detecting an extra load to the vehicle, obtain a first candidate energy consumption rate corresponding to the extra load from the server, calculate an estimated energy consumption rate using the first candidate energy consumption rate, and calculate a distance to empty using the estimated energy consumption rate.

A sensor assembly may include one or more sensors mountable on a wheel of a vehicle and one or more processors electrically coupled to the one or more sensors for determining a driving condition of the vehicle based on the first sensor signals and the second sensor signals. Methods for determining a driving condition of a vehicle based on sensor signals and a wheel assembly that includes a wheel and the sensor assembly are also disclosed.