Patents by Inventor Daniel Neyer

Daniel Neyer has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20260227286
    Abstract: A method that is at least partially computer-implemented is disclosed, for preconditioning a technical system on a test bench for presetting a system state to a desired value of at least one state variable.
    Type: Application
    Filed: February 3, 2026
    Publication date: August 6, 2026
    Inventors: Christoph Zimmer, Daniel Neyer, Matthias Kraenzler, Ulrich Zimmermann, Volker Imhof, Filip De Roos
  • Publication number: 20260079483
    Abstract: A computer-implemented method for providing input data points for measuring a technical system is disclosed. The technical system is measured in particular on a test bench according to predefined measurement trajectories in order to obtain measurement data, wherein the measurement data assigns one or more measured variables as labels to an input data point from one or more input variables.
    Type: Application
    Filed: September 18, 2025
    Publication date: March 19, 2026
    Inventors: Matthias Kraenzler, Timo Bartsch, Volker Imhof, Christoph Zimmer, Daniel Neyer, Wael Hilali, Tabea Schlagmueller, Tobias Pinkau
  • Patent number: 12314098
    Abstract: A method for determining a temperature of a component of an electric machine includes providing a plurality of trained neural networks, providing a current measurement of a plurality of operational parameters of the electric machine, and processing the operational parameters using the neural networks. The method further includes integrating output parameters issued by the neural networks over a time period, and issuing the integrated parameters as a temperature of the component.
    Type: Grant
    Filed: April 12, 2023
    Date of Patent: May 27, 2025
    Assignee: Robert Bosch GmbH
    Inventors: Daniel Neyer, Leon Glass, Matthias Kraenzler, Wael Hilali
  • Publication number: 20230333614
    Abstract: A method for determining a temperature of a component of an electric machine includes providing a plurality of trained neural networks, providing a current measurement of a plurality of operational parameters of the electric machine, and processing the operational parameters using the neural networks. The method further includes integrating output parameters issued by the neural networks over a time period, and issuing the integrated parameters as a temperature of the component.
    Type: Application
    Filed: April 12, 2023
    Publication date: October 19, 2023
    Inventors: Daniel Neyer, Leon Glass, Matthias Kraenzler, Wael Hilali
  • Publication number: 20220162834
    Abstract: A method is for performing state estimation of position and orientation of a plurality of modules of a common system, which are movable relative to one another via joints, using inertial sensors that are arranged on the modules. At least one vector pair is determined, which represents kinematic relationships of at least one of the joints and of two of the modules connected to the at least one joint, and which is included in the state estimation.
    Type: Application
    Filed: January 22, 2020
    Publication date: May 26, 2022
    Inventors: Alejandro Lopez Pamplona, Sebastian Scherer, Daniel Neyer