Patents by Inventor Maria Camuglia

Maria Camuglia 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).

  • Patent number: 11423321
    Abstract: A system and method of determining system status in a vehicle system. The method including collecting, by a computing system, a plurality of data associated with a test specimen and the vehicle system, selecting a relevant data set of the plurality of data, the selecting based on at least one correlation coefficient associated with the plurality of data, and transforming at least a portion of the selected relevant data to form a transformed data set, the transforming based on mathematical properties. The method also includes collecting statistics associated with the selected relevant data set and the transformed data set to form a statistics data set, classifying the selected relevant data set, transformed data set, and the statistics data set; and predicting a status of a system based on the classifying.
    Type: Grant
    Filed: August 22, 2018
    Date of Patent: August 23, 2022
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Alessandra Neri, Maria Camuglia, Alessia Tuninetti, Elena Baralis, Flavio Giobergia, Davide Tricarico
  • Publication number: 20200065690
    Abstract: A system and method of determining system status in a vehicle system. The method including collecting, by a computing system, a plurality of data associated with a test specimen and the vehicle system, selecting a relevant data set of the plurality of data, the selecting based on at least one correlation coefficient associated with the plurality of data, and transforming at least a portion of the selected relevant data to form a transformed data set, the transforming based on mathematical properties. The method also includes collecting statistics associated with the selected relevant data set and the transformed data set to form a statistics data set, classifying the selected relevant data set, transformed data set, and the statistics data set; and predicting a status of a system based on the classifying.
    Type: Application
    Filed: August 22, 2018
    Publication date: February 27, 2020
    Inventors: Alessandra Neri, Maria Camuglia, Alessia Tuninetti, Elena Baralis, Flavio Giobergia, Davide Tricarico
  • Publication number: 20190376427
    Abstract: An exhaust gas after-treatment system for an internal combustion engine that includes a selective catalyst reduction on filter (SCRF) exhaust gas after-treatment device in communication with exhaust gases from the internal combustion engine and having a treated exhaust gas output. An oxides of nitrogen (NOx) sensor is coupled to the treated exhaust gases and has a NOx sensor output signal that is NOx and ammonia (NH3) cross-sensitive. A closed loop observer (CLO) is operatively coupled to receive the NOx sensor output signal and provides a NOx concentration signal to an electronic control unit that is operatively associated with the exhaust gas after-treatment system and the internal combustion engine.
    Type: Application
    Filed: June 8, 2018
    Publication date: December 12, 2019
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Giuseppe Mazzara Bologna, Maria Camuglia, Carlos Ildefonso Hoyos Velasco, Carmen Pedicini, David Tulli, Daniele Bernardini, Alberto Bemporad
  • Publication number: 20190376426
    Abstract: An after-treatment system includes a selective catalyst reduction on filter (SCRF) device in communication with exhaust gases from an engine yielding treated exhaust gases. A nitrogen oxides (NOx) sensor is configured to measure the treated exhaust gases and has an output signal that is NOx and ammonia (NH3) cross-sensitive. A NOx sensor model is coupled to receive the output signal and mass flow data for the treated exhaust gases and provides a NOx model signal to an electronic control unit (ECU) that is operatively associated with the after-treatment system and the engine. The NOx model signal represents an exhaust gas NOx concentration estimate based upon an actual NOx concentration and an actual NH3 concentration of the exhaust gas. The ECU is operable upon the NOx concentration estimate to control the after-treatment system and the engine to effect an overall reduction in actual NOx concentration of the treated exhaust gases.
    Type: Application
    Filed: June 8, 2018
    Publication date: December 12, 2019
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Jaime Andres Cespedes Garcia, Giuseppe Mazzara Bologna, Maria Camuglia, Carlos Idefonso Hoyos Velasco, David Tulli
  • Publication number: 20190353071
    Abstract: Technical solutions described herein include an emissions control system for treating exhaust gas in a motor vehicle including an internal combustion engine. The emissions control system includes a model-based controller to control reductant injection into the exhaust gas. Controlling the reductant injection includes determining an amount of NOx and an amount of NH3 at an outlet of the first SCR device, and at an outlet of the second SCR device. The controlling further includes computing an amount of reductant to inject to maintain a first predetermined ratio between the amount of NH3 and the amount of NOx at the outlet of the first SCR device and to maintain a second predetermined ratio between the amount of NH3 and the amount of NOx at the outlet of the second SCR device. Further, the controlling includes sending a command for receipt by the reductant injector to inject the computed amount of reductant.
    Type: Application
    Filed: May 18, 2018
    Publication date: November 21, 2019
    Inventors: Maria Camuglia, Giulio Binetti, Carlos Ildefonso Hoyos Velasco, Giuseppe Mazzara Bologna, Alberto Bemporad, Daniele Bernardini
  • Patent number: 10465589
    Abstract: Technical solutions are described for selective catalytic reduction diagnosis in an emissions control system or an exhaust system used for treating exhaust gas, such as in a motor vehicle including an internal combustion engine. An example emissions control system includes a selective catalytic reduction (SCR) device. The emissions control system further includes a controller that is performs SCR fault diagnosis. The SCR fault diagnosis includes computing a plurality of estimated NH3 storage capacity values (?) of an SCR catalyst of the SCR device. The diagnosis further includes determining a diagnostic parameter of the SCR device using the plurality of estimated NH3 storage capacity values.
    Type: Grant
    Filed: March 19, 2018
    Date of Patent: November 5, 2019
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Alessandra Neri, Alessia Tuninetti, Maria Camuglia, Giulio Binetti, Giuseppe Mazzara Bologna, Alberto Bemporad, Daniele Bernardini
  • Publication number: 20190284981
    Abstract: Technical solutions are described for selective catalytic reduction diagnosis in an emissions control system or an exhaust system used for treating exhaust gas, such as in a motor vehicle including an internal combustion engine. An example emissions control system includes a selective catalytic reduction (SCR) device. The emissions control system further includes a controller that is performs SCR fault diagnosis. The SCR fault diagnosis includes computing a plurality of estimated NH3 storage capacity values (?) of an SCR catalyst of the SCR device. The diagnosis further includes determining a diagnostic parameter of the SCR device using the plurality of estimated NH3 storage capacity values.
    Type: Application
    Filed: March 19, 2018
    Publication date: September 19, 2019
    Inventors: Alessandra Neri, Alessia Tuninetti, Maria Camuglia, Giulio Binetti, Giuseppe Mazzara Bologna, Alberto Bemporad, Daniele Bernardini
  • Patent number: 10145284
    Abstract: An automotive vehicle includes an internal combustion engine and an exhaust system. The exhaust treatment system includes a dosing system that injects NH3 into an exhaust gas stream generated by the engine. An SCR device stores an amount of the NH3 and converts NOx into diatomic nitrogen (N2) and water (H2O) based on the stored amount of the NH3. The vehicle further includes an SCR status estimator device and a controller. The SCR status estimator device determines an NH3 coverage ratio (R), which indicates a stored amount of NH3 with respect to a maximum NH3 storage capacity of the SCR device. The controller determines a target NOx reduction efficiency (?NOx) of the SCR device, and an NH3 coverage ratio set point (Rsp) based on the ?NOx. The controller also generates an NH3 control signal (u) that controls the dosing system based on a comparison between the R and the Rsp.
    Type: Grant
    Filed: April 25, 2017
    Date of Patent: December 4, 2018
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Carlos Ildefonso Hoyos Velasco, Vincenzo Alfieri, Maria Camuglia, Giuseppe Conte, Giuseppe Mazzara Bologna, Carmen Pedicini, David Tulli
  • Publication number: 20180306082
    Abstract: An automotive vehicle includes an internal combustion engine and an exhaust system. The exhaust treatment system includes a dosing system that injects NH3 into an exhaust gas stream generated by the engine. An SCR device stores an amount of the NH3 and converts NOx into diatomic nitrogen (N2) and water (H2O) based on the stored amount of the NH3. The vehicle further includes an SCR status estimator device and a controller. The SCR status estimator device determines an NH3 coverage ratio (R), which indicates a stored amount of NH3 with respect to a maximum NH3 storage capacity of the SCR device. The controller determines a target NOx reduction efficiency (?NOx) of the SCR device, and an NH3 coverage ratio set point (Rsp) based on the ?NOx. The controller also generates an NH3 control signal (u) that controls the dosing system based on a comparison between the R and the Rsp.
    Type: Application
    Filed: April 25, 2017
    Publication date: October 25, 2018
    Inventors: Carlos Ildefonso Hoyos Velasco, Vincenzo Alfieri, Maria Camuglia, Giuseppe Conte, Giuseppe Mazzara Bologna, Carmen Pedicini, David Tulli