The present invention relates to a vehicle control device for a vehicle, comprising a number of first control devices which are independent of each other and are arranged in a first logical level and designed to calculate predetermined first vehicle control functions and to output first calculation results, a number of further control devices which are independent of each other, are arranged in a number which is superordinate from the first logical level and hierarchically arranged among each other and are designed to calculate further predetermined vehicle control functions and to output further calculation results. According to the invention, the further control devices are designed to use calculation results only of those control devices as input variables for the corresponding vehicle control functions which are arranged in logical levels hierarchically below the logical level of the respective control device.

Provided is an electric vehicle control system capable of securing good response and slip stopping property with respect to changes in a road surface condition. The system includes a vehicle controller configured to calculate a driver's demand torque command value according to a driver's accelerating or braking operation, a first communication device capable of communicating between a hydraulic controller and a motor controller, and a second communication device capable of communicating between the vehicle controller and the motor controller. The system includes a control system in which the hydraulic controller transmits a motor torque command value to the motor controller through the first communication device; the vehicle controller transmits the driver's demand torque command value to the motor controller through the second communication device; and the motor controller selects either one of the received motor torque command value and the received driver's demand torque command value as the command value.

An electrical infrastructure system and method of use of the system for a vehicle. There are several electronic control units (ECU) for one or several functional units (30n) for the vehicle. The ECUs are connected through a network (32). The infrastructure system is configured to implement a state map including various operational states Sn that the vehicle can adopt. These operational states are connected by one or several transitions Tn, where the transition from one operational state to another depends on predetermined transition conditions being satisfied. The infrastructure system is configured to receive one or several input signals (34) to at least one ECU, comprising parameter values that represent events. The at least one ECU is configured to analyze the input signals with the aid of the transition conditions, to determine an operational state, and to make the operational state that has been determined available on the network (32).

A method for detecting faults in a vehicle control system comprising functional units having an associated unique prime number label is provided. The method comprises calling each of the functional units, the call comprising a readable and updateable integer traversal value, and in case the functional unit is operating correctly, updating the traversal value to be the product of the value in the call and the label of the currently called functional unit, and in the case of a fault, not updating the traversal value. Further, the method comprises determining from the traversal value if any functional units are faulty by a comparison with an expected traversal value, and, in the case that the traversal value is not equivalent to the expected traversal value, determining which functional units are faulty by a unique prime factorization algorithm.

A data processing apparatus for an intelligent vehicle has a plurality of virtual machines disposed therein, and a first neural network model corresponding to a sensor group in a machine learning model is disposed in one virtual machine. The machine learning model performs calculation on detection data of a corresponding sensor group in an independent virtual machine. Subsequently, all first neural network models in the plurality of virtual machines send output results of detection data of a plurality of sensor groups to a second neural network model, and the second neural network model obtains, based on the plurality of output results, a fusion output result used to indicate vehicle driving parameter information.

An agricultural machine arrangement includes at least one traction machine and at least one attachment device adapted to the traction machine with a driver assistance system optimizing the operation of the traction machine and/or of the respective attachment device. The drive assistance system includes a computing unit and at least one display unit, wherein the computing unit processes information generated by machine-internal sensor systems, external information and information storable in the computing unit. The driver assistance system is structured so that it forms an automatic traction machine adjusting unit and/or an automatic attachment device adjusting unit, wherein the respective automatic adjusting units independently of one another or as a function of one another bring about an “optimization” of the mode of operation of the traction machine and/or of the at least one attachment device.

A method for executing a driving task in a decentralized control unit system and a decentralized control unit system are provided. The control unit system includes at least two control units that are designed as senders, and at least one control unit that is designed as a receiver. The at least two senders and the at least one receiver in each case have activity states and operating states. The two senders and the receiver in each case check their own activity states. The two senders’ own activity states are compared to the receiver’s own activity state. An evaluation of operating states is carried out if the two senders’ and the receiver’s own activity states are in each case error-free. The driving task is executed if one of the two senders and the receiver in each case has a dynamic operating state.

A system and method for interfacing an autonomous or remote control drive-by-wire controller with a vehicle's control modules. Vehicle functions including steering, braking, starting, etc. are controllable by wire via a control network. A CAN architecture is used as an interface between the remote/autonomous controller and the vehicle's control modules. A CAN module interface provides communication between a vehicle control system and a supervisory, remote, autonomous, or drive-by-wire controller. The interface permits the supervisory control to control vehicle operation within pre-determined bounds and using control algorithms.

A current value of a state-of-motion from a second controller can be received by a first controller. The first controller determines a subset of a target value of the state-of-motion to be achieved by a subsystem and transmits a command to a third controller in communication with the subsystem to achieve the subset of the target value of the state-of-motion. The third controller commands the subsystem to approach the subset of the target value of the state-of-motion.

Systems and methods for detecting hardware faults in computer-based feedback control systems. Multiple instances of the system control program(s) are run on system processors. System sensor data are input to each instance, and the control commands output by each instance are compared. As instantiations of the same programs receive largely the same sensor data, differences between output commands may indicate the presence of one or more hardware faults.