Patents by Inventor Corrado Possieri

Corrado Possieri 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).

  • Virtual sensor for estimating online unmeasurable variables via successive time derivatives
    Patent number: 11526724
    Abstract: Provided is a processor-implemented method and a processor in a vehicle for estimating the value of a quantity for which a physical sensor is not available for measurement. The method includes: receiving a plurality of measured signals representing values of measurable variables; computing, in real-time, time derivatives of the measured signals; and applying a trained feedforward neural network, in real-time, to estimate values for a plurality of unmeasurable variables, the unmeasurable variables being variables that are unmeasurable in real-time, the feedforward neural network having been trained using test data containing time derivatives of values for the measurable variables and values for the unmeasurable variables; wherein the vehicle uses the estimated values for the unmeasurable variables for vehicle operation.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: December 13, 2022
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Carmen Pedicini, Corrado Possieri, Vincenzo Alfieri, Giuseppe Conte
  • VIRTUAL SENSOR FOR ESTIMATING ONLINE UNMEASURABLE VARIABLES VIA SUCCESSIVE TIME DERIVATIVES
    Publication number: 20210056377
    Abstract: Provided is a processor-implemented method and a processor in a vehicle for estimating the value of a quantity for which a physical sensor is not available for measurement. The method includes: receiving a plurality of measured signals representing values of measurable variables; computing, in real-time, time derivatives of the measured signals; and applying a trained feedforward neural network, in real-time, to estimate values for a plurality of unmeasurable variables, the unmeasurable variables being variables that are unmeasurable in real-time, the feedforward neural network having been trained using test data containing time derivatives of values for the measurable variables and values for the unmeasurable variables; wherein the vehicle uses the estimated values for the unmeasurable variables for vehicle operation.
    Type: Application
    Filed: August 21, 2019
    Publication date: February 25, 2021
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Carmen Pedicini, Corrado Possieri, Vincenzo Alfieri, Giuseppe Conte