Abstract: A safety circuit for a high-voltage (HV) electrical system and a HV electrical device are disclosed. The HV electrical system includes one or more one HV electrical devices. Each HV electrical device includes a low-voltage electrical line. A resistor is connected in parallel to the low-voltage electrical line. A controller is connected to the HV electrical device through the low-voltage electrical line.

Abstract: A method for a provision of data. The method includes the following steps carried out in an automated manner: ascertaining the data in a vehicle; carrying out a preparation of the ascertained data, in which a data portion of the data is removed and an artificially generated and reproducible replacement portion is defined by an item of replacement information as an approximation of the removed data portion in order to prepare the data for lossless data compression; carrying out the data compression of the prepared data; initiating a transmission of the data compressed by the data compression via a mobile radiotelephone network, in which the replacement information is transmitted instead of the data portion.

Abstract: A system includes a machine-learning network. The network includes an input interface configured to receive input data from a sensor. The processor is programmed to receive the input data, generate a perturbed input data set utilize the input data, wherein the perturbed input data set includes perturbations of the input data, denoise the perturbed input data set utilizing a denoiser, wherein the denoiser is configured to generate a denoised data set, send the denoised data set to both a pre-trained classifier and a rejector, wherein the pre-trained classifier is configured to classify the denoised data set and the rejector is configured to reject a classification of the denoised data set, train, utilizing the denoised input data set, the a rejector to achieve a trained rejector, and in response to obtaining the trained rejector, output an abstain classification associated with the input data, wherein the abstain classification is ignored for classification.

Abstract: A compensating element having first and second modules is disclosed. A locking mechanism which can be switched between a first and a second operating state is provided. The first module is connected firmly to the second module in the first operating state. The first operating state defines a zero position between the first and the second module. The first and the second module are connected to one another in the second operating state by a spring mechanism in such a way that they are movable relative to one another. The compensating element has a midaxis, and the first and the second module are arranged at least partially next to one another in the direction of the midaxis. A measuring system is also disclosed with which the relative position between the first and the second module can be measured. The first or second module includes an externally visible luminous surface. A luminous state of the luminous surface is dependent on the relative position measured by the measuring system.

Abstract: The invention relates to a machine tool with a tool receiving device that is movable around an output shaft. The tool receiving device is designed to hold a tool device on the machine tool such that the output shaft and a tool rotation axis substantially coincide. The tool receiving device has at least one torque transmission region and a holding device. To transmit a driving force to the tool device, the torque transmission region has at least two output area regions arranged at a distance from said output shaft, with each having a multiplicity of surface points. The tangent planes to said surface points are inclined in regard to an axial plane including said output shaft. The tangent planes are inclined in regard to a radial plane extending perpendicularly to the output shaft. The machine tool thus transmits the output torque to the tool device via the tool receiving device.

Abstract: A neural network configured for classifying whether an image from an optical sensor characterizes an obstruction of the optical sensor or not. The classification is characterized by an output of the neural network for an input of the neural network and wherein the input is based on the image. The neural network comprises a first convolutional layer that characterizes a 1D-convolution along a vertical axis of a convolution output of a preceding convolutional layer and a second convolutional layer that characterizes a 1D-convolution along a horizontal axis of the convolution output. The output of the neural network is based on a first convolution output of the first convolutional layer and based on a second convolution output of the second convolutional layer.

Abstract: A method for the control of the activation of an electrically controllable actuator in a motor vehicle, in particular for the purpose of checking its operational reliability, and an electronic control device for carrying out this method. An electrically controllable first actuator, an electrically controllable second, redundant, actuator, and at least one electronic control device for the electrical actuation of the actuators, are provided. An activation of the second actuator by the electronic control device is carried out as a function of signal information which represents a noise level prevailing in a passenger compartment of the motor vehicle.

Abstract: A computational method for determining a location and an amount of a transition metal M in surface facets of a Pt—M alloy using a density functional theory includes receiving a particle size and a surface facet distribution of the Pt—M alloy and a total concentration of M in the Pt—M alloy; calculating a total number of M atoms in the Pt—M alloy based on the particle size and the surface facet distribution of the Pt—M alloy and the total concentration of M in the Pt—M alloy; and predicting a mixing energy between Pt and at least one of the total number of M atoms in a subsurface layer of each of the surface facets of the Pt—M alloy when Pt is mixed with the at least one of the total number of M atoms.

Abstract: A method for a trajectory prediction for a vehicle. The method includes receiving trajectory data of a travel trajectory of a further vehicle driving in a traffic lane within a surroundings of a vehicle; detecting at least one control action performed by the further vehicle based on the trajectory data, the control action representing at least part of a driving maneuver, by which the further vehicle is controlled along the travel trajectory; ascertaining a future travel trajectory of the vehicle by taking into account the detected control action executed by the further vehicle; and providing the future travel trajectory of the further vehicle.

Abstract: Systems and computer-implemented methods for training a machine learnable model and for using the machine learned model for inference, both of which using only limited memory resources. During training and inference, the machine learnable model uses previous state information. A state memory is provided which efficiently stores this previous state information. Instead of storing each previous state individually and integrally, for each element of the internal state, a value is stored in the state memory which is indicative of a most recent occurrence of an element of the internal state of the machine learnable model holding or transitioning to a particular binary state value. The states of the machine learnable model are representable as binary values and when states infrequently hold or transition to a particular binary state value.

Abstract: A method for controlling a physical system. The method includes training a neural network to output, for a plurality of tasks, a result of the task carried out, in each case in response to the input of a control configuration of the physical system and the input of a value of a task input parameter; ascertaining a control configuration for a further task with the aid of Bayesian optimization, the neural network, parameterized by the task input parameter, being used as a model for the relationship between control configuration and result; and controlling the physical system according to the control configuration to carry out the further task.

Abstract: An electrochemical cell (e.g., a fuel cell) includes an anode layer, a cathode layer, and an electrolyte membrane layer disposed between and spacing apart the anode layer and the cathode layer. The electrochemical cell further includes a functional layer disposed at an interface between the cathode layer and the electrode membrane layer. The functional layer includes a composition including a carbon material, an ionomer material, and optionally an amount of catalyst material.

Abstract: A vehicle braking system includes a master cylinder having a pedal feel simulator incorporated therein, a reservoir configured to retain a volume of unpressurized brake fluid for use in the vehicle braking system, a wheel cylinder coupled to the master cylinder via a first braking circuit, an electronically-controlled pressure generating unit configured to move fluid through the first braking circuit to the wheel cylinder in a first mode of operation, and a two-way valve positioned in the first braking circuit and configured to selectively decouple the master cylinder from the wheel cylinder. In the first mode of operation, the master cylinder is decoupled from the wheel cylinder via the two-way valve and the master cylinder is coupled to the reservoir via the two-way valve. In a second mode of operation, the master cylinder is coupled to the wheel cylinder via the two-way valve.

Abstract: A crank device or crank drive is disclosed which has a crankshaft, into which a variable first force can be introduced by way of a transmission element over a variable first lever spacing. Here, the first variable force has a predefined profile and/or predefined change. A profile of the first variable lever spacing is designed in a manner which is dependent on the predefined profile of the first variable force in such a way that an effect of change in the first variable force on the crankshaft is at least partially compensated for. The compensation is provided over a rotational range of the crankshaft, which is preferably less than one revolution of the crankshaft.

Abstract: A method for determining a state of health trajectory of a device battery is based on state of health values of device batteries of an identical battery type. The method includes providing time characteristics of operating variables of a multiplicity of device batteries of battery-operated machines in a central processing unit, and determining one or more state of health values of one or more of the multiplicity of device batteries by evaluating a respective characteristic of the operating variables within an evaluation period. The one or more state of health values with the applicable aging times each indicate a data point for the relevant device battery. The method further includes eliminating data points from the determined data points to obtain a set of cleaned-up data points, and ascertaining the state of health trajectory with an accuracy statement for each trajectory point based on the set of cleaned-up data points.

Abstract: A roll control system for a vehicle capable of improving the versatility compared to the related art is obtained. A roll control system according to the invention includes: a first component connected to a right connecting device that connects a vehicle body and a right wheel; a second component connected to a left connecting device that connects the vehicle body and a left wheel; and a damper. The damper includes a first damper component and a second damper component reciprocatably connected to each other. The first component includes a first base portion rotatably held by the vehicle body, a first wheel-side arm portion rotatably connected to the right connecting device, and a first damper-side arm portion rotatably connected to the first damper component.

Abstract: A method for communication. The method includes receiving or determining an input data stream; propagating the input data stream through a plurality of consecutive input processing stages; and transmitting a plurality of output data streams provided at the output section via a plurality of communication channels.

Abstract: A method for producing a plurality of sensor devices. The method includes: furnishing a substrate having contact points in a plurality of predetermined regions for sensor chips; disposing the sensor chips in the predetermined regions on the substrate, and electrically contacting the sensor chips to the contact points; attaching a frame structure with an adhesive material on the substrate and between the sensor chips, the frame structure proceeding laterally around the sensor chips, the frame structure extending, after attachment, vertically beyond the sensor chips and forming a respective cavity for at least one of the sensor chips, and a membrane spanning at least one of the cavities for the sensor chips so as to cover it; and singulating the substrate, or the frame structure and the substrate, around the respective cavities into several sensor devices.

Abstract: A computer-implemented method of training an image analysis model. The image analysis model comprises a coupling layer that determines an output vector of discrete values from an input vector of discrete values. First, a machine learnable submodel of the coupling layer is trained to predict a second input part of the coupling layer from a first input part of the coupling layer. Next, the image analysis model is trained. This involves applying the coupling layer by applying the machine learnable submodel to the first input part to obtain a prediction of the second input part; and determining a second output part by applying an invertible mapping to the second input part defined by the prediction of the second input part. The mapping maps a predicted value of an element of the second input part to a fixed value independent from the predicted value.

Abstract: A battery system having a battery pack with a negative pole, a positive pole and a battery cell, a coupling network having a first negative terminal and a first positive terminal, a pack voltage divider, and a coupling voltage divider. The first positive terminal is connectable to the positive pole via a switch. Optionally, the first negative terminal is connectable to the negative pole via a switch. The pack voltage divider includes a two resistors connected between the positive pole and a first reference point. A negative pack measurement resistor and a negative sub-pack measurement resistor are dis-connectable from the negative pole or the first reference point via a switch. A positive coupling measurement resistor and a positive sub-coupling measurement resistor are connected between the first positive terminal and the first reference point. Two resistors are connected between the first negative terminal and the first reference point.