Patents by Inventor Samuel Gerard Carson Hames

Samuel Gerard Carson Hames 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).

  • Method and system for determining concentration of electrolyte components for lithium-ion cells
    Patent number: 10804562
    Abstract: A computer-implemented method for determining a concentration of a component of an electrolyte in a lithium-ion or for a lithium-ion cell is provided. The method includes providing, to a spectrometer, instructions to capture a spectrum of a sample solution of the electrolyte and generate a signal. The method includes analyzing the signal to determine one or more spectral features of the spectrum. The method includes preparing a database of spectra corresponding to solutions having predetermined concentrations of the component of the electrolyte wherein the database includes a plurality for spectral features for each solution. The method further includes determining a machine learning (ML) model using the database of spectra. The method includes determining the concentration of the component of the electrolyte in the sample solution using the machine learning model.
    Type: Grant
    Filed: December 6, 2017
    Date of Patent: October 13, 2020
    Assignee: Tesla Motors Canada ULC
    Inventors: Leah Devorah Ellis, Samuel Buteau, Samuel Gerard Carson Hames, Jeffery R. Dahn, David Scott Hall
  • METHOD AND SYSTEM FOR DETERMINING CONCENTRATION OF ELECTROLYTE COMPONENTS FOR LITHIUM-ION CELLS
    Publication number: 20190173122
    Abstract: A computer-implemented method for determining a concentration of a component of an electrolyte in a lithium-ion or for a lithium-ion cell is provided. The method includes providing, to a spectrometer, instructions to capture a spectrum of a sample solution of the electrolyte and generate a signal. The method includes analyzing the signal to determine one or more spectral features of the spectrum. The method includes preparing a database of spectra corresponding to solutions having predetermined concentrations of the component of the electrolyte wherein the database includes a plurality for spectral features for each solution. The method further includes determining a machine learning (ML) model using the database of spectra. The method includes determining the concentration of the component of the electrolyte in the sample solution using the machine learning model.
    Type: Application
    Filed: December 6, 2017
    Publication date: June 6, 2019
    Applicant: Tesla Motors Canada ULC
    Inventors: Leah Devorah Ellis, Samuel Buteau, Samuel Gerard Carson Hames, Jeffery R. Dahn, David Scott Hall