Patents by Inventor Patricia M. Laskowsky

Patricia M. Laskowsky 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: 9377512
    Abstract: A battery state estimator which combines an electrochemical solid-state concentration model with an empirical equivalent-circuit model. The battery state estimator uses a reduced-order physics-based electrochemical solid-state concentration model to calculate open circuit voltage of a battery cell, and uses the calculated open circuit voltage in an equivalent-circuit model to evaluate a diffusion voltage drop and other battery cell parameters. The battery state estimator is implemented in an online estimator framework using an extended Kalman filter, with a measured terminal voltage and measured current as inputs. A state of charge of the battery cell can be determined from the calculated open circuit voltage, and the state of charge along with the other parameters from the equivalent-circuit model are used to evaluate battery pack performance and to control battery pack charging and discharging.
    Type: Grant
    Filed: May 8, 2013
    Date of Patent: June 28, 2016
    Assignee: GM Global Technology Operations LLC
    Inventors: Patrick Frost, Patricia M. Laskowsky, Brian J. Koch
  • Publication number: 20160077160
    Abstract: A number of illustrative variations may include a method, which may include using at least a segment of impedance-based battery power capability estimation data, and using real-time linear regression, which may be used as a method of estimating future behavior of a system based on current and previous data points, to provide a robust state of power predictor.
    Type: Application
    Filed: September 17, 2014
    Publication date: March 17, 2016
    Inventors: Charles W. Wampler, II, Daniel R. Baker, Mark W. Verbrugge, Patrick Frost, Brian J. Koch, Patricia M. Laskowsky
  • Publication number: 20160039419
    Abstract: Systems and methods are disclosed for estimating a state of a battery system such as a current-limited state of power and/or a voltage-limited state of power using a battery system model incorporating a nonlinear resistance element. Parameters of elements included in a battery cell model associated with a nonlinear resistance of a battery cell may be directly parameterized and used in connection with state estimation methods. By accounting for the nonlinear effect, embodiments of the disclosed systems and methods may increase available battery power utilized in connection with battery system control and/or management decisions over a larger window of operating conditions.
    Type: Application
    Filed: October 20, 2015
    Publication date: February 11, 2016
    Inventors: Charles W. Wampler, Mark W. Verbrugge, Brian J. Koch, Patricia M. Laskowsky
  • Publication number: 20150301116
    Abstract: A number of variations include a method, which may include using at least a segment of voltage-based Battery State Estimation data, and using real-time linear regression, which may be a method of estimating future behavior of a system based on current and previous data points, to provide a robust and fast-adapting impedance response approximator. Linear regression may be performed by forming an RC circuit which is “equivalent” to electrochemical impedance spectroscopy data and processing the runtime values of that RC circuit using any number of known real-time linear regression algorithms including, but not limited, to a weighted recursive least squares (WRLS), Kalman filter or other means.
    Type: Application
    Filed: April 21, 2014
    Publication date: October 22, 2015
    Applicant: GM Global Technology Operations LLC
    Inventors: Daniel R. Baker, Mark W. Verbrugge, Patrick Frost, Brian J. Koch, Charles W. Wampler, II, Patricia M. Laskowsky
  • Publication number: 20150285866
    Abstract: System and methods for estimating a capacity of a battery are presented. A measure of data skewness may be calculated from a battery system terminal voltage measurement. Inflection points in the data skewness of the terminal voltage measurement may align with transition points associated with a battery system. These transitions points may be associated with known SOCs determined from testing and/or characterization of the battery system. Using the detected transitions and associated SOCs and an indication of an accumulated charge provided to/from the battery between the transitions, an estimated capacity of the battery system may be determined.
    Type: Application
    Filed: April 4, 2014
    Publication date: October 8, 2015
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: PATRICK FROST, PATRICIA M. LASKOWSKY, KURT M. JOHNSON
  • Patent number: 9130248
    Abstract: A method for modeling changes in the state of charge vs. open circuit voltage (SOC-OCV) curve for a lithium-ion battery cell as it ages. During battery pack charging, voltage and current data are gathered for a battery cell. A set of state equations are used to determine the stoichiometry and state of charge of the cathode half-cell based on the charging current profile over time. The voltage and current data, along with the stoichiometry and state of charge of the cathode half-cell, are then used to estimate maximum and minimum solid concentration values at the anode, using an error function parameter regression/optimization. With stoichiometric conditions at both the cathode and anode calculated, the cell's capacity and a new SOC-OCV curve can be determined.
    Type: Grant
    Filed: May 25, 2012
    Date of Patent: September 8, 2015
    Assignee: GM Global Technology Operations LLC
    Inventors: Patricia M. Laskowsky, Brian J. Koch, Damon R. Frisch, Ramesh Rebba, Kurt M. Johnson
  • Publication number: 20140333317
    Abstract: A battery state estimator which combines an electrochemical solid-state concentration model with an empirical equivalent-circuit model. The battery state estimator uses a reduced-order physics-based electrochemical solid-state concentration model to calculate open circuit voltage of a battery cell, and uses the calculated open circuit voltage in an equivalent-circuit model to evaluate a diffusion voltage drop and other battery cell parameters. The battery state estimator is implemented in an online estimator framework using an extended Kalman filter, with a measured terminal voltage and measured current as inputs. A state of charge of the battery cell can be determined from the calculated open circuit voltage, and the state of charge along with the other parameters from the equivalent-circuit model are used to evaluate battery pack performance and to control battery pack charging and discharging.
    Type: Application
    Filed: May 8, 2013
    Publication date: November 13, 2014
    Inventors: PATRICK FROST, PATRICIA M. LASKOWSKY, BRIAN J. KOCH
  • Publication number: 20140278167
    Abstract: Adaptive estimation techniques to create a battery state estimator to estimate power capabilities of the battery pack in a vehicle. The estimator adaptively updates circuit model parameters used to calculate the voltage states of the ECM of a battery pack. The adaptive estimation techniques may also be used to calculate a solid-state diffusion voltage effects within the battery pack. The adaptive estimator is used to increase robustness of the calculation to sensor noise, modeling error, and battery pack degradation.
    Type: Application
    Filed: March 12, 2013
    Publication date: September 18, 2014
    Applicant: GM Global Technology Operations LLC
    Inventors: Patrick Frost, Brian J. Koch, Damon R. Frisch, Brett B. Stawinski, Patricia M. Laskowsky, Kurt M. Johnson, Robert C. Baraszu
  • Publication number: 20140214347
    Abstract: Methods are disclosed for modeling changes in capacity and the state of charge vs. open circuit voltage (SOC-OCV) curve for a battery cell as it ages. During battery pack charging, voltage and current data are gathered for a battery cell. In one method, using multiple data points taken during the plug-in charge event, data optimization is used to determine values for two parameters which define a scaling and a shifting of the SOC-OCV curve from its original shape at the cell's beginning of life to its shape in the cell's current condition. In a second method, only initial and final voltages and current throughput data are needed to determine the values of the two parameters. With the scaling and shifting parameters calculated, the cell's updated capacity and updated SOC-OCV curve can be determined. The methods can also be applied to data taken during a discharge event.
    Type: Application
    Filed: January 31, 2013
    Publication date: July 31, 2014
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Patricia M. Laskowsky, Patrick Frost, Brian J. Koch
  • Publication number: 20130317771
    Abstract: A method for modeling changes in the state of charge vs. open circuit voltage (SOC-OCV) curve for a lithium-ion battery cell as it ages. During battery pack charging, voltage and current data are gathered for a battery cell. A set of state equations are used to determine the stoichiometry and state of charge of the cathode half-cell based on the charging current profile over time. The voltage and current data, along with the stoichiometry and state of charge of the cathode half-cell, are then used to estimate maximum and minimum solid concentration values at the anode, using an error function parameter regression/optimization. With stoichiometric conditions at both the cathode and anode calculated, the cell's capacity and a new SOC-OCV curve can be determined.
    Type: Application
    Filed: May 25, 2012
    Publication date: November 28, 2013
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Patricia M. Laskowsky, Brian J. Koch, Damon R. Frisch, Ramesh Rebba, Kurt M. Johnson