Robert Bosch GmbH patent applications on March 6th, 2025
Patent Applications by Robert Bosch GmbH on March 6th, 2025
Robert Bosch GmbH: 36 patent applications
Robert Bosch GmbH has applied for patents in the areas of G06V10/764 (4), G07C5/00 (2), G06V10/25 (2), G06V10/82 (2), H04L12/40 (2) G06V10/764 (2), B01L3/502715 (1), H01L21/6835 (1), G06V10/25 (1), G06V10/765 (1)
With keywords such as: data, input, image, processing, device, training, sensor, component, plate, and configured in patent application abstracts.
Patent Applications by Robert Bosch GmbH
Inventor(s): Daniel Sebastian Podbiel of Rutesheim (DE) for robert bosch gmbh
IPC Code(s): B01L3/00, C12Q1/6844
CPC Code(s): B01L3/502715
Abstract: a microfluidic device for processing a sample is disclosed. the device includes an amplification functional module having a microfluidic channel for guiding a fluid, a dry reagent pre-storage chamber connected to the channel for pre-storing a dry reagent and a ventilation channel connected to the dry reagent pre-storage chamber for connecting the dry reagent pre-storage chamber to a ventilation opening. the ventilation channel is designed so as to be fluidically separate from the microfluidic channel.
20250074342. VEHICLE WITH A ZONE ARCHITECTURE_simplified_abstract_(robert bosch gmbh)
Inventor(s): Alexander Fuchs of Fellbach (DE) for robert bosch gmbh, Jochen Pflueger of Muehlacker (DE) for robert bosch gmbh, Manuel Warwel of Tamm (DE) for robert bosch gmbh, Richard Schoettle of Oelbronn (DE) for robert bosch gmbh, Achim Henkel of Stuttgart (DE) for robert bosch gmbh, Viola Malena Herbrig of Ludwigsburg (DE) for robert bosch gmbh
IPC Code(s): B60R16/03, B60R16/023
CPC Code(s): B60R16/03
Abstract: a vehicle having a front region zone, a right-hand cabin zone, a left-hand cabin zone, and a rear region zone. each zone has a defined number of zone controllers.
Inventor(s): Markus Schuster of Helmstadt (DE) for robert bosch gmbh, Florian Haag of Ellhofen (DE) for robert bosch gmbh, Nikolas Loeffelmann of Dielheim (DE) for robert bosch gmbh, Martin Marquart of Reichenbach (DE) for robert bosch gmbh, Christian Schleinig of Stuttgart (DE) for robert bosch gmbh
IPC Code(s): B60T13/66, B60T17/22
CPC Code(s): B60T13/662
Abstract: a method is for operating a braking system including a primary braking actuator having a first control apparatus. the primary braking actuator is operated based on a first braking specification. the braking system further includes a secondary braking actuator having a second control apparatus. the first control apparatus and the second control apparatus and/or a further control apparatus are connected to one another by a communication device. the second control apparatus and/or the further control apparatus checks whether signals from the first control apparatus are received in the second control apparatus and/or the further control apparatus, or whether the signals received from the first control apparatus in the second control apparatus and/or the further control apparatus are faulty. when there are no received signals or when there are faulty signals, operation of the secondary braking actuator is enabled or prevented based on a second braking specification.
Inventor(s): Andrea Opreni of Reutlingen (DE) for robert bosch gmbh
IPC Code(s): G01C19/5712, G01C19/5656
CPC Code(s): G01C19/5712
Abstract: a mems sensor, in particular a mems acceleration sensor or mems inertial sensor. the mems sensor includes: a substrate having a main extension plane; a seismic mass suspended movably with respect to the substrate in at least a z-direction perpendicular to the main extension plane; and a sensor device for detecting a measurement signal dependent on the position of the seismic mass in relation to the substrate. the mems sensor also includes: at least two resonators, which are suspended resiliently movably in the z-direction in relation to the substrate; and a controllable electrode arrangement, which is configured to resonantly excite each of the at least two resonators to generate mechanical resonant vibrations, and to capacitively detect a disturbance variable dependent on at least one resonance frequency of the resonant vibrations.
Inventor(s): Michael Kleinknecht of Lehrensteinsfeld (DE) for robert bosch gmbh, Stefan Kuntz of Flein (DE) for robert bosch gmbh
IPC Code(s): G01D3/02, G01D5/244
CPC Code(s): G01D3/02
Abstract: an angle sensor arrangement includes a measuring transducer, a measurement acquisition device, a signal processing device, a correction device, and an angle calculation device. the measurement acquisition device is configured to acquire at least one physical variable representing a current angular position of the measuring transducer and to output at least two measurement signals which each represent a current angular position of the measuring transducer. the signal processing device is configured to process the at least two measurement signals and to amplify each with a variably adjustable amplification factor and, if necessary, to digitize them and make the processed measurement signals available to the correction device. the correction device is configured to adaptively calculate at least one correction coefficient depending on the amplification factor currently set in the signal processing device and to correct the at least two processed measurement signals accordingly.
Inventor(s): Tobias Schmid of Fluorn-Winzeln (DE) for robert bosch gmbh, Daniel Schindler of Korntal-Münchingen (DE) for robert bosch gmbh, Fabian Roos of Goeppingen (DE) for robert bosch gmbh
IPC Code(s): G01S7/35, G01S13/04, G01S13/931
CPC Code(s): G01S7/354
Abstract: a method for radar sensor data processing of radar sensor data of a radar sensor system detecting at least one target object in an environment of a carrier system. a radar sensor data processing system is also described.
Inventor(s): Rajeev Verma of Amsterdam (NL) for robert bosch gmbh, Eric Nalisnick of Ellicott City MD (US) for robert bosch gmbh, Volker Fischer of Renningen (DE) for robert bosch gmbh
IPC Code(s): G05B17/02
CPC Code(s): G05B17/02
Abstract: a device and a computer-implemented method for machine learning. the method includes: providing an input for a model, determining with the model a first classification that indicates a class for the input, determining with the model depending on the input a likelihood that an expert determines a correct classification for the input, determining with the model depending on the input a likelihood that the input is in-distribution data or out-of-distribution data with respect to a distribution of data that the model is trained on, determining a second classification that indicates whether the input is considered as in-distribution data or out-of-distribution data with respect to the distribution of data that the model is trained on depending on the first classification and depending on the likelihoods, determining an output of the model depending on the first classification and the second classification, and outputting the output.
20250076852. MODEL-PREDICTIVE CONTROL OF A TECHNICAL SYSTEM_simplified_abstract_(robert bosch gmbh)
Inventor(s): Andreas Look of Kleinsendelbach (DE) for robert bosch gmbh, Barbara Rakitsch of Stuttgart (DE) for robert bosch gmbh
IPC Code(s): G05B19/4155
CPC Code(s): G05B19/4155
Abstract: a state-space model which includes one or more neural networks. the state-space model is configured to stochastically model a technical system by modelling uncertainties both in latent states of the technical system and in weights of the one or more neural networks. thereby, the state-space model may be able to capture both aleatoric uncertainty (inherent unpredictability in observations) and epistemic uncertainty (uncertainty in the model's parameters or weights. during the training and during subsequent use for model-predictive control, moment matching across neural network layers is used, which may ensure that the model's predictions are consistent and close to real system behavior.
20250076867. ANOMALY DETECTION FOR EMBEDDED SYSTEMS_simplified_abstract_(robert bosch gmbh)
Inventor(s): Irtsam Ghazi of Pittsburgh PA (US) for robert bosch gmbh, Emily Ruppel of Pittsburgh PA (US) for robert bosch gmbh, Shruti Lall of Pittsburgh PA (US) for robert bosch gmbh
IPC Code(s): G05B23/02, G06F8/61, G06F11/30
CPC Code(s): G05B23/0272
Abstract: systems and methods for anomaly detection in embedded systems. one example provides an anomaly detection system including a device configured to be connected to a server. the device includes an electronic processor and a memory. the memory stores a first application. the electronic processor is configured to transmit a request for an anomaly detection application. the anomaly detection application includes a set of instructions for detecting anomalies of the device. the electronic processor is configured to receive, from the server, the anomaly detection application, and replace the first application with the anomaly detection application within the memory.
Inventor(s): Martin Ring of Lossburg (DE) for robert bosch gmbh, Aaron Ujaque Hurley of Heilbronn (DE) for robert bosch gmbh, Philipp Gmaehle of Obersulm (DE) for robert bosch gmbh
IPC Code(s): G06F8/41
CPC Code(s): G06F8/43
Abstract: a method for automatically analyzing a computer program. the method includes generating intermediate representation code including a sequence of intermediate representation instructions by decompiling binary code of the computer program, generating one or more intermediate representation code strings from the sequence of intermediate representation instructions, searching for reference intermediate representation code strings of a plurality of reference intermediate representation code strings in the one or more intermediate representation code strings by means of a string kernel search, wherein each reference intermediate representation code string belongs to a program component, and ascertaining the program components to which the reference intermediate representation code strings found in the one or more intermediate representation code strings by means of the string kernel comparison belong as the program components present in the computer program.
Inventor(s): Raphael Diziol of Kandel (DE) for robert bosch gmbh, Stefan Egenter of Freiburg (DE) for robert bosch gmbh
IPC Code(s): G06F9/50
CPC Code(s): G06F9/5038
Abstract: a method processes sensor data from at least two sensors in a vehicle, with a data processing network including a plurality of data processing modules, each including at least one data processing component. each data processing component is configured for a defined data processing task for processing the sensor data. each data processing module receives, as input data, the sensor data and/or output data from further data processing modules and generates output data which is network output data of the data processing network and/or input data of further data processing modules. the at least two sensors are subdivided into at least two different resource groups. the method includes receiving at least one parameter and determining at least one priority of a resource group, determining at least one priority for at least one resource group using the at least one parameter, and activating data processing modules based on the determined priorities.
Inventor(s): Jan Micha BORRMANN of Mannheim (DE) for robert bosch gmbh, Michael BEYER of Stuttgart (DE) for robert bosch gmbh, Andre GUNTORO of Weil Der Stadt (DE) for robert bosch gmbh
IPC Code(s): G06F11/16
CPC Code(s): G06F11/165
Abstract: a method for fault-tolerant operation of a processing unit having a plurality of sub-processing units. each sub-processing unit is configured to process one or more partwords and to determine a result partword therefrom. the processing unit can be configured in a plurality of operation modes and is configured to process partwords of input words, which are arranged in sections of the input words, in the sub-processing units corresponding to the sections, and to determine an output word from the result partwords determined thereby depending on the operation mode. the method includes: determining adaptation partwords from input words to be processed that are suitable for processing in at least one fault-free sub-processing unit, and forming adaptation input words, in which the adaptation partwords are arranged in sections corresponding to the fault-free sub-processing unit; and processing the adaptation input words in a second operation mode to determine an adaptation output word.
20250077393. METHOD FOR TESTING A COMPUTER PROGRAM_simplified_abstract_(robert bosch gmbh)
Inventor(s): Maria Irina Nicolae of Stuttgart (DE) for robert bosch gmbh, Max Camillo Eisele of Ludwigsburg (DE) for robert bosch gmbh
IPC Code(s): G06F11/36
CPC Code(s): G06F11/3676
Abstract: a method for testing a computer program. the method includes training a machine learning model to predict, for each test input supplied thereto, a coverage of the computer program that is achieved when the computer program is executed with the test inputs as inputs, testing the computer program in a plurality of iterations, wherein in each iteration a test input is generated, the trained machine learning model is used to predict a coverage of the computer program that is achieved when the computer program is executed with the generated test input as input, it is ascertained whether the predicted coverage increases an overall coverage previously achieved by testing the computer program, and, in response to ascertaining that the predicted coverage increases the overall coverage previously achieved by testing the computer program, the computer program is executed with the generated test input.
20250077685. AUTOMATED DETECTION OF KNOWN VULNERABILITIES_simplified_abstract_(robert bosch gmbh)
Inventor(s): Maria Irina Nicolae of Stuttgart (DE) for robert bosch gmbh, Martin Ring of Lossburg (DE) for robert bosch gmbh
IPC Code(s): G06F21/57, G06F21/56
CPC Code(s): G06F21/577
Abstract: a computer-implemented method for automated detection of known vulnerabilities in a static test of software. the method includes extracting a data structure of a code of the software; identifying software component(s) on which the software depends based on the code, the extracted data structure and/or the software bill of materials of the software; evaluating, for identified software components, whether the software component is associated with a known vulnerability, potentially vulnerable software component{s) resulting; applying, for potentially vulnerable software component(s), a machine learning model to a description associated with the known vulnerability, wherein the machine learning model is trained and configured to determine at least one root cause from at least the description and a prompt; and evaluating the at least one potentially vulnerable software component as vulnerable or as not vulnerable or, optionally, as unevaluable based on the at least one root cause and the extracted data structure.
Inventor(s): Felix Berkenkamp of Muenchen (DE) for robert bosch gmbh, Kathrin Skubch of Frankfurt (DE) for robert bosch gmbh, Paul Sebastian Baireuther of Stuttgart (DE) for robert bosch gmbh, Petru Tighineanu of Korntal-Muenchingen (DE) for robert bosch gmbh
IPC Code(s): G06F30/17
CPC Code(s): G06F30/17
Abstract: a method for configuring a technical system. the method includes: detecting reference observations; conditioning reference system models on the reference observations detected for the reference system; detecting observations of results of the technical system to be configured for different values of the configuration parameters; adjusting an a priori model for the relationship between the values of the configuration parameters and the results provided by the technical system to the observations detected for the technical system, wherein the a priori model is formed from a weighted combination of the conditioned reference system models; ascertaining an a posteriori model for the relationship between the values of the configuration parameters and the results provided by the technical system by conditioning the adjusted a priori model on the observations detected for the technical system to be configured; and configuring the technical system using the ascertained a posteriori model.
Inventor(s): Jan Stellet of Stuttgart (DE) for robert bosch gmbh, Matthias Woehrle of Bietigheim-Bissingen (DE) for robert bosch gmbh
IPC Code(s): G06F30/27, G06F30/15, G06N20/00
CPC Code(s): G06F30/27
Abstract: a computer-implemented method for training a machine learning model for evaluating a behavior of an autonomous system that is configured to solve a perception task. the method includes: receiving sensor data by a perception system of the autonomous system; receiving metadata, wherein the metadata encodes an influence on a solvability of the perception task; ascertaining an error probability based on the received sensor data; providing the machine learning model, which is designed to map sensor data and metadata to an error probability for solving the perception task; and training the machine learning model based on a training data set element comprising the received sensor data, the received metadata and the ascertained error probability. a computer-implemented method for evaluating a behavior of an autonomous system that is configured to solve a perception task, is also described.
Inventor(s): David Adrian of Stuttgart (DE) for robert bosch gmbh, Andras Gabor Kupcsik of Herrenberg (DE) for robert bosch gmbh, Markus Spies of Karlsruhe (DE) for robert bosch gmbh
IPC Code(s): G06N3/08
CPC Code(s): G06N3/08
Abstract: a method for training a machine learning model for generating descriptor images. the method includes recording a plurality of camera images, forming training image pairs from the plurality of camera images, wherein each training image pair includes a first training image and a second training image, ascertaining a loss for the training image pair and at least one key point from a distance between the position of the key point in the first training image or a transformed version of the first training image and an estimated position of the key point, which is ascertained by transitioning from the first training image to the second training image and back to the first training image or its transformed version, and adapting the machine learning model for reducing a total loss that includes the ascertained losses for at least a part of the training image pairs and key points.
20250077894. CAPTURING A SCENE IN A MULTIMODAL FIELD_simplified_abstract_(robert bosch gmbh)
Inventor(s): Andre Wagner of Hannover (DE) for robert bosch gmbh
IPC Code(s): G06N3/0985, G01S13/88, G06T7/00, G06T7/90, G06V20/56
CPC Code(s): G06N3/0985
Abstract: a method for training a neural network, which, based on coordinates of a location in a scene and information about a perspective from which the location is viewed, predicts color information long with values of at least one further physical measured variable that relate to this location. the method includes: capturing both camera images of the scene and values of the further physical measured variable as training examples from a plurality of perspectives; supplying coordinates of locations at which color information and/or values of the at least one further physical measured variable can be captured from every perspective, together with information characterizing the perspective, to the neural network; evaluating using a predetermined cost function.
Inventor(s): Chen QIU of Pittsburgh PA (US) for robert bosch gmbh, Sabrina SCHMEDDING of Tiefenbronn (DE) for robert bosch gmbh, Bahare AZARI of San Jose CA (US) for robert bosch gmbh, Nikita TIKHONOV of Moscow (RU) for robert bosch gmbh, Filipe CONDESSA of Pittsburgh PA (US) for robert bosch gmbh
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: disclosed embodiments include methods for evaluating augmented training elements. the augmented training elements may be generated using different augmentation techniques. disclosed embodiments may generate training set useful for training a plurality of different machine-learning models.
Inventor(s): Volker Fischer of Renningen (DE) for robert bosch gmbh, Chaithanya Kumar Mummadi of Coraopolis PA (US) for robert bosch gmbh, Sascha Wirges of Buehl (DE) for robert bosch gmbh, Eashwara Sudharsan Erahan of Hildesheim (DE) for robert bosch gmbh
IPC Code(s): G06T7/50, B60W60/00, G05D1/43
CPC Code(s): G06T7/50
Abstract: a method for reconstructing a location-dependent scalar additional quantity of a scene from an image of the scene divided into pixels. the method includes: feeding pixel values of the image to a neural network; processing the pixel values by the neural network to produce local difference information, which in each case indicates how the location-dependent scalar additional quantity of the scene changes at the position indicated by the particular pixel; ascertaining the scalar additional information for further locations indicated by pixels of the image, from the local difference information.
20250078438. APPARATUS AND METHOD FOR OBJECT DETECTION_simplified_abstract_(robert bosch gmbh)
Inventor(s): Felicia Ruppel of Renningen (DE) for robert bosch gmbh, Mathijs Van Geerenstein of Stuttgart (DE) for robert bosch gmbh
IPC Code(s): G06V10/25, G01S17/86, G06T7/70, G06V10/44, G06V10/764, G06V10/80
CPC Code(s): G06V10/25
Abstract: object detection using multi-modal sensor input. the method includes: detecting first sensor data in an image section using a first sensor device and forming corresponding first feature vectors; detecting second sensor data in the image section using a second sensor device and forming corresponding second feature vectors; providing an arrangement including a grid with a predetermined first plurality of proposed locations for object search; extracting feature vectors from the first and second feature vectors, respective merging of first with second feature vectors at the proposed locations; generating a respective estimated bounding box for each of the proposed locations in the environment of the proposed locations, and calculating a respective confidence level each bounding box; reducing the first plurality of proposed locations to a second number of locations, based on the respective calculated confidence levels; and recognizing an object based on an object search at the second number of locations.
Inventor(s): Piyapat Saranrittichai of Leonberg (DE) for robert bosch gmbh, Andres Mauricio Munoz Delgado of Schoenaich (DE) for robert bosch gmbh, Chaithanya Kumar Mummadi of Coraopolis PA (US) for robert bosch gmbh, Volker Fischer of Renningen (DE) for robert bosch gmbh
IPC Code(s): G06V10/764, G06V10/25, G06V10/26
CPC Code(s): G06V10/764
Abstract: a method for classifying input measurement data with respect to a given task using a given classifier. the method includes: identifying, based on the given task, a relevant subset of the input measurement data that is of a higher relevancy with respect to the given task than the rest of the input measurement data; determining, based on the input measurement data and the identified subset, an enhanced input for the given classifier, such that, in this enhanced input, a portion of the input measurement data that corresponds to the identified subset has a higher weight than other content of the input measurement data not corresponding to this identified subset; providing the enhanced input to the given classifier, thereby obtaining an output from the classifier; and determining the final classification result from this output.
Inventor(s): Alexander Bartler of Villingen-Schwenningen (DE) for robert bosch gmbh, Bastian Bischoff of Gerlingen (DE) for robert bosch gmbh, Csaba Domokos of Simmozheim (DE) for robert bosch gmbh, Daniel Niederloehner of Stuttgart (DE) for robert bosch gmbh, Kilian Rambach of Stuttgart (DE) for robert bosch gmbh, Maurice Quach of Ditzingen (DE) for robert bosch gmbh, Michael Ulrich of Stuttgart (DE) for robert bosch gmbh, Patrick Ziegler of Waiblingen (DE) for robert bosch gmbh, Ruediger Jordan of Stuttgart (DE) for robert bosch gmbh, Sascha Braun of Eningen Unter Achalm (DE) for robert bosch gmbh
IPC Code(s): G06V10/764, G06V10/77, G06V10/82, G06V20/52
CPC Code(s): G06V10/764
Abstract: a method for processing measurement data from a surveillance of an area into classification scores with respect to a given classification and/or properties of objects in the area. the method includes: providing a point cloud of measurement data that assigns, to each of a plurality of points in space, measurement values of at least one quantity; providing an input grid with a plurality of cells; assigning, based on the point cloud, values of the at least one measurement quantity, and/or of at least one work product derived therefrom, to each cell of the input grid; and processing, by a task neural network, the input grid into an output grid whose cells carry classification scores and/or properties of objects as values.
Inventor(s): Michael Pritz of Wien (AT) for robert bosch gmbh, Daria Stepanova of Leonberg (DE) for robert bosch gmbh, Johannes Oetsch of Wien (AT) for robert bosch gmbh, Nelson Higuera of Wien (AT) for robert bosch gmbh, Nicole Ying Finnie of Renningen (DE) for robert bosch gmbh, Thomas Eiter of Wien (AT) for robert bosch gmbh
IPC Code(s): G06V10/764, G06V10/776, G06V20/70
CPC Code(s): G06V10/765
Abstract: a device and computer-implemented method for machine learning. the method includes: providing first and second classes; providing a first set of scene graphs including scene graphs of digital images that are incorrectly classified in the first class or the second class; providing a second set of scene graphs including scene graphs of digital images that are correctly classified with respect to the first class or the second class; determining, depending on the first set of scene graphs and the second set of scene graphs a rule that indicates that a presence of a first object and/or a second object in a digital image and/or a relation between the first object and the second object in the scene graph of the digital image results in that the classification of the digital image includes a misclassification of the digital image into the second class instead of the first class.
Inventor(s): Jan Stellet of Stuttgart (DE) for robert bosch gmbh, Matthias Woehrle of Bietigheim-Bissingen (DE) for robert bosch gmbh
IPC Code(s): G06V10/776, G06T7/246, G06V10/82
CPC Code(s): G06V10/776
Abstract: a method for checking the performance of a prediction task by a neural network. the method includes: supplying image data to a feature extraction network that is trained to determine a representation of the image data; supplying the determined representation to a prediction network; a first determination of an optical flow between the image data and further image data from the representation; a second determination of the optical flow between the image data and the further image data from the image data using a different calculation path; and comparing the result of the first determination of the optical flow with the result of the second determination of the optical flow and accepting a result of the prediction task as correct if the result of the first determination of the optical flow agrees with the result of the second determination of the optical flow within a predefined tolerance.
Inventor(s): Tyrel Alastair-Hunter of Owatonna MN (US) for robert bosch gmbh
IPC Code(s): G07C5/00, G07C5/08, H04L12/40
CPC Code(s): G07C5/006
Abstract: systems and methods for vehicle diagnostic services utilizing a diagnostic server. the systems comprise a diagnostic server that is in data communication with a service tool and the vehicle communication interface (vci) of a vehicle. the data communication may be accomplished using a wide area network (wan). the diagnostic server acquires diagnostic data from the vci and generates a diagnostic report for a user to utilizing during service actions of the vehicle. some embodiments utilize an external gateway adapter to enable data communication between the diagnostic server and vehicles lacking a native function to interface with external devices or components across networks.
Inventor(s): Tyrel Alastair-Hunter of Owatonna MN (US) for robert bosch gmbh
IPC Code(s): G07C5/08, G07C5/00
CPC Code(s): G07C5/0808
Abstract: systems and methods for vehicle diagnostic services utilizing a diagnostic server. the systems comprise a diagnostic server that is in data communication with a service tool and the vehicle communication interface (vci) of a vehicle. the data communication may be accomplished using a wide area network (wan). the diagnostic server acquires diagnostic data from the vci and generates a diagnostic report for a user to utilizing during service actions of the vehicle. some embodiments utilize an external gateway adapter to enable data communication between the diagnostic server and vehicles lacking a native function to interface with external devices or components across networks.
Inventor(s): Bernhard Polzinger of Stuttgart (DE) for robert bosch gmbh, Christian Foerster of Reutlingen (DE) for robert bosch gmbh, Jens Buettner of Reutlingen (DE) for robert bosch gmbh, Karl Schuell of Reutlingen (DE) for robert bosch gmbh, Kristina Vogt of Muenchingen (DE) for robert bosch gmbh
IPC Code(s): H01L21/683, B33Y10/00, B33Y30/00, B33Y40/20, B33Y80/00, B41M5/00, H01L21/304
CPC Code(s): H01L21/6835
Abstract: a method for producing semiconductor components, in particular power semiconductor components, from a wafer. the method includes: providing a wafer substrate, processing a structured wafer surface, applying a carrier wafer onto the wafer substrate, and reducing a thickness of the wafer substrate by means of wafer thinning.
Inventor(s): Kevin Dannecker of Reutlingen (DE) for robert bosch gmbh, Max Reimer of Stuttgart (DE) for robert bosch gmbh
IPC Code(s): H01L21/78
CPC Code(s): H01L21/7806
Abstract: a method for producing a power component based on a wide bandgap semiconductor. a device wafer with a substrate is provided. one or more functional layers are formed on the substrate that form the power component. at least one engineered layer is disposed between the functional layers and the substrate. the substrate is completely removed from the device wafer by selectively removing at least one engineered layer.
Inventor(s): Rongrong Jiang of Shanghai (CN) for robert bosch gmbh, Xiaogang Hao of Shanghai (CN) for robert bosch gmbh
IPC Code(s): H01M8/0228, H01M8/021, H01M8/0213, H01M8/0234, H01M8/0245
CPC Code(s): H01M8/0228
Abstract: a method for manufacturing a bipolar plate for a fuel cell is disclosed. the method includes (i) using a carboxylic acid solution to treat a surface of a base material or body of the bipolar plate such that a microstructure with a certain roughness forms on the surface, and (ii) rubbing the surface with graphite such that fragments of the graphite fill the microstructure and bind to carboxyl groups in the microstructure. also disclosed is a bipolar plate for a fuel cell, and a fuel cell including the bipolar plate. thus, it possible to obtain a fuel cell bipolar plate having a carbon coating with higher attachment strength while simplifying the production process and reducing the production cost.
Inventor(s): Dieter Ludwig of Ludwigsburg (DE) for robert bosch gmbh, Markus Menacher of Ingersheim (DE) for robert bosch gmbh
IPC Code(s): H01R13/518
CPC Code(s): H01R13/518
Abstract: a male multipoint connector main body. the connector main body includes a plurality of plug receptacles which are open on one side, are arranged in an extension direction of the male multipoint connector main body, and are designed to receive plug-in elements. each plug receptacle has an individual base plate. between all adjacent plug receptacles, there is in each case a connection pocket which is open on one side and which interconnects thee adjacent plug receptacles. the plug receptacles, starting from a plane in which the base plates lie, protrude in a first direction and the connection pockets, starting from the plane, protrude in a second direction opposite the first direction. an open side of the connection pockets and an open side of the plug receptacles are oriented substantially in the same direction.
20250080009. INVERTER UNIT_simplified_abstract_(robert bosch gmbh)
Inventor(s): Jonathan Winkler of Sonnenbuehl (DE) for robert bosch gmbh, Karl Oberdieck of Stuttgart (DE) for robert bosch gmbh, Manuel Riefer of Reutlingen (DE) for robert bosch gmbh, Sebastian Strache of Wannweil (DE) for robert bosch gmbh
IPC Code(s): H02M7/537
CPC Code(s): H02M7/537
Abstract: an inverter unit. the inverter unit includes: a switch; an intermediate circuit; and a component. the inverter unit is configured to switch the switch on the basis of a predetermined switching sequence in order to drain the intermediate circuit. the predetermined switching sequence is configured to generate a current drop in the intermediate circuit at a substantially constant change in order to introduce a thermal energy, generated by a short circuit, into the inverter unit in order to determine an aging of the component.
Inventor(s): Dick Scholten of Stuttgart (DE) for robert bosch gmbh, Klaus Heyers of Reutlingen (DE) for robert bosch gmbh
IPC Code(s): H03K17/687
CPC Code(s): H03K17/687
Abstract: a gate driver stage. the gate driver stage has a first power transistor including a first drain terminal and a first source terminal, with a second power transistor including a second drain terminal and a second source terminal. the first source terminal is electrically conductively connected to the second drain terminal and the first drain terminal is electrically conductively connected to a first voltage terminal. the second source terminal is electrically conductively connected to a second voltage terminal. the first voltage terminal has a first voltage value and the second voltage terminal has a second voltage value, the second voltage value being smaller than the first voltage value. a node is arranged between the first power transistor and the second power transistor, and is electrically conductively connected to a third gate terminal of a normally-off power transistor, and the third gate terminal can be controlled via the node.
Inventor(s): Arthur Mutter of Neuhausen (DE) for robert bosch gmbh, Florian Hartwich of Reutlingen (DE) for robert bosch gmbh, Franz Bailer of Moessingen (DE) for robert bosch gmbh
IPC Code(s): H04L1/00, H04L12/40
CPC Code(s): H04L1/0025
Abstract: a subscriber station for a serial bus system and a method for communication in a serial bus system. the subscriber station has a communication control device for controlling a communication of the subscriber station with at least one other subscriber station of the bus system and for evaluating a signal received from a bus of the bus system, in which the bit time in a first communication phase may differ from a bit time in a second communication phase, and the communication control device is developed to sample and evaluate the signal received from the bus, which is based on a transmit signal generated by another subscriber station, according to a predefined frame.
Inventor(s): Markus Schmitt of Tamm (DE) for robert bosch gmbh
IPC Code(s): H05K7/20, H01M10/613, H01M10/6554
CPC Code(s): H05K7/20254
Abstract: a cooling plate for cooling a component and a power electronics unit, and for cooling a relay of a battery disconnect unit, includes a first plate and a second plate. the first plate and the second plate comprise a component portion such that the component can be arranged on the component portion of the first plate. a first flow chamber for a coolant is provided in the component portion between the first plate and the second plate. the first plate and the second plate include a relay portion such that the relay of the battery disconnect unit or a fastening element of the relay can be arranged on the relay portion. a second flow chamber for a coolant is provided in the relay portion between the first plate and the second plate and the first flow chamber and the second flow chamber are fluidically connected.
Inventor(s): Kevin Dannecker of Reutlingen (DE) for robert bosch gmbh, Dick Scholten of Stuttgart (DE) for robert bosch gmbh, Jens Baringhaus of Sindelfingen (DE) for robert bosch gmbh
IPC Code(s): H01L29/40, H01L23/31, H01L29/66, H01L29/78
CPC Code(s): H10D64/111
Abstract: a semiconductor component with a semiconductor substrate. the semiconductor component has at least one source element, at least one drain element, and at least one field plate. in the semiconductor component, the at least one field plate encloses an edge of the semiconductor component and is electrically contacted with the drain element. a method for producing a semiconductor component is also described.
- Robert Bosch GmbH
- B01L3/00
- C12Q1/6844
- CPC B01L3/502715
- Robert bosch gmbh
- B60R16/03
- B60R16/023
- CPC B60R16/03
- B60T13/66
- B60T17/22
- CPC B60T13/662
- G01C19/5712
- G01C19/5656
- CPC G01C19/5712
- G01D3/02
- G01D5/244
- CPC G01D3/02
- G01S7/35
- G01S13/04
- G01S13/931
- CPC G01S7/354
- G05B17/02
- CPC G05B17/02
- G05B19/4155
- CPC G05B19/4155
- G05B23/02
- G06F8/61
- G06F11/30
- CPC G05B23/0272
- G06F8/41
- CPC G06F8/43
- G06F9/50
- CPC G06F9/5038
- G06F11/16
- CPC G06F11/165
- G06F11/36
- CPC G06F11/3676
- G06F21/57
- G06F21/56
- CPC G06F21/577
- G06F30/17
- CPC G06F30/17
- G06F30/27
- G06F30/15
- G06N20/00
- CPC G06F30/27
- G06N3/08
- CPC G06N3/08
- G06N3/0985
- G01S13/88
- G06T7/00
- G06T7/90
- G06V20/56
- CPC G06N3/0985
- CPC G06N20/00
- G06T7/50
- B60W60/00
- G05D1/43
- CPC G06T7/50
- G06V10/25
- G01S17/86
- G06T7/70
- G06V10/44
- G06V10/764
- G06V10/80
- CPC G06V10/25
- G06V10/26
- CPC G06V10/764
- G06V10/77
- G06V10/82
- G06V20/52
- G06V10/776
- G06V20/70
- CPC G06V10/765
- G06T7/246
- CPC G06V10/776
- G07C5/00
- G07C5/08
- H04L12/40
- CPC G07C5/006
- CPC G07C5/0808
- H01L21/683
- B33Y10/00
- B33Y30/00
- B33Y40/20
- B33Y80/00
- B41M5/00
- H01L21/304
- CPC H01L21/6835
- H01L21/78
- CPC H01L21/7806
- H01M8/0228
- H01M8/021
- H01M8/0213
- H01M8/0234
- H01M8/0245
- CPC H01M8/0228
- H01R13/518
- CPC H01R13/518
- H02M7/537
- CPC H02M7/537
- H03K17/687
- CPC H03K17/687
- H04L1/00
- CPC H04L1/0025
- H05K7/20
- H01M10/613
- H01M10/6554
- CPC H05K7/20254
- H01L29/40
- H01L23/31
- H01L29/66
- H01L29/78
- CPC H10D64/111
