A method for operating an electrical system of a motor vehicle, the vehicle electrical system including a plurality of components, a prediction of a future state of at least one component in the form of a state analysis being made from values regarding a loading capacity of the at least one component, a decision being made about enabling at least one driving function of the motor vehicle as a function of a result of the state analyses carried out, the driving function being supported by the at least one component of the vehicle electrical system.

An active compensation algorithm for an inertia force of on-board equipment and a damping device are provided. The algorithm includes the following steps: a compensation angle acquisition step: acquiring an expected real-time inertia force compensation angle of a damped target when a vehicle takes a sudden turn or emergency braking based on velocity information, acceleration information, and angular velocity information of a vehicle chassis; and a control step: adjusting an angle of a damping motor by adopting a control algorithm according to the real-time inertia force compensation angle, where the damping motor keeps pace with the expected inertia force compensation angle in real time. The active compensation algorithm for the inertia force of on-board equipment can calculate the inertia force compensation angle of the vehicle in real time, so as to achieve a better inertia force compensation function to the damped target through the damping motor.

One embodiment is a system comprising an engine structured to output torque to an accessory drive, a rotary load structured to be selectably driven by the accessory drive, and an electronic control system. The electronic control system is operable to selectably engage and disengage the rotary load effective to vary the load on the engine, monitor engine load values in coordination with engagement of the rotary load, store a data set comprising the monitored engine load values in association with values of one or more associated system conditions in a non-transitory memory medium, update a mathematical model of the system stored in the non-transitory memory medium in response to the engine load values to converge one or more model parameters, diagnose or prognosticate a failure state of the rotary load in response to a change in the one or more model parameters, and output a perceptible diagnostic indication of the failure state in response to the diagnosis or prognostication.

The rolling parameters of a tire on a rolling surface are evaluated, and more specifically a tire's adhesion potential on a rolling surface is estimated. A method and a system enabling such estimation are disclosed.

One embodiment is a system comprising an engine structured to output torque to an accessory drive, a rotary load structured to be selectably driven by the accessory drive, and an electronic control system. The electronic control system is operable to selectably engage and disengage the rotary load effective to vary the load on the engine, monitor engine load values in coordination with engagement of the rotary load, store a data set comprising the monitored engine load values in association with values of one or more associated system conditions in a non-transitory memory medium, update a mathematical model of the system stored in the non-transitory memory medium in response to the engine load values to converge one or more model parameters, diagnose or prognosticate a failure state of the rotary load in response to a change in the one or more model parameters, and output a perceptible diagnostic indication of the failure state in response to the diagnosis or prognostication.

The disclosure includes embodiments for modifying a performance of a vehicle component whose performance is affected by a vehicle fluid that is contaminated by water. A method according to some embodiments includes recording sensor data describing refractometry measurements for the vehicle fluid. The method includes determining contamination data that describes an amount of water present in the vehicle fluid. The method includes analyzing the contamination data to determine parameter data describing modifications for a set of parameters for an advanced driver assistance system (ADAS system) that control the operation of the ADAS system, wherein the parameter data is operable to update the set of parameters and thereby modify the operation of the ADAS system to compensate for the amount of water present in the vehicle fluid so that vehicle component performs as though the vehicle fluid is substantially not contaminated by water.

A tire force estimation system includes a sensor, a sensor information acquisition unit, and a tire force calculator. The sensor measures a physical quantity of a tire. The sensor information acquisition unit acquires the physical quantity measured by the sensor. The tire force calculator includes an arithmetic model for calculating tire force F based on the physical quantity, and calculates the tire force F by inputting the physical quantity acquired by the sensor information acquisition unit into the arithmetic model.

A computer system comprising a processor device is provided. The processor device is configured to receive a deactivation request to deactivate a heavy-duty vehicle. The processor device is further configured to determine a controlled partial deactivation instruction of at least one subsystem of the vehicle, wherein the controlled partial deactivation instruction is determined by an autonomous model comprising a historical usage pattern of the vehicle. The historical usage pattern comprises information of deactivation events and activation events of the vehicle that has historically occurred at reference locations. The processor device is further configured to control the vehicle to execute the controlled partial deactivation instruction such that the vehicle is at least partially deactivated either immediately, or after a delay, as determined by the controlled partial deactivation instruction.

The disclosure relates to a method that models a motor vehicle sensor in a virtual test environment by way of definition. Using a sensor support, a raycast distribution shape, a group of raycast properties, a raycast reflection factor, and a raycast echo, a sensor in reality may be tested in a virtual environment to calibrate the sensor in reality. The sensor support is a virtual sensor support for a virtual sensor model, which forms a three-dimensional or two-dimensional avatar of the sensor in reality, in the virtual test environment. The sensor support has a sensor starting point that is used as an origin for a raycast distribution shape. The method extracts a special application of the sensor in reality in an application case, which is particularly useful for testing scenarios.

A method is for operating a vehicle operating device. The vehicle operating device is for influencing a longitudinal and/or lateral movement of a vehicle. The vehicle operating device includes at least one operating unit, which can be manually actuated for controlling multiple vehicle functions. In at least one actuation state, in which one of the vehicle functions is actively controlled by the operating unit, at least one control variable of a non-actively controlled vehicle function is modified, such that an unintentional actuation and/or activation of the non-actively controlled vehicle function is impeded and/or prevented.