Patents by Inventor Matthew R. Kunz

Matthew R. Kunz 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: 20240006675
    Abstract: Various embodiments relate to determining a lithium-plating state of a battery. Various embodiments include a method including: observing a first characteristic of a battery, observing a second characteristic of the battery, and determining, based on the first characteristic and the second characteristic, a lithium-plating state of the battery. In some embodiments, the first characteristic and the second characteristic may each be one of: a rate of change of the capacity per cycle over a number of cycles, end-of-charge rest voltage over a number of cycles, and a coulombic efficiency over a number of cycles. Related devices are also disclosed.
    Type: Application
    Filed: November 16, 2021
    Publication date: January 4, 2024
    Inventors: Tanvir R. Tanim, Bor-Rong Chen, Matthew R. Kunz, Eric J. Dufek
  • Patent number: 11170219
    Abstract: Disclosed here are systems, methods, apparatus, and/or non-transitory computer-readable storage comprising machine-readable code for the development and application of high-resolution crop yield models. The disclosed yield models may be captured yield data and corresponding remote sensing data covering relatively limited areas. Embodiments of the disclosed yield models may be capable of estimating spatial yield characteristics in areas for which accurate yield data are not available (and/or not practical to acquire), thereby enabling more widespread application of integrated land management techniques.
    Type: Grant
    Filed: August 23, 2019
    Date of Patent: November 9, 2021
    Assignee: BATTELLE ENERGY ALLIANCE, LLC.
    Inventors: Lloyd M. Griffel, Damon S. Hartley, Matthew R. Kunz
  • Publication number: 20210004592
    Abstract: Disclosed here are systems, methods, apparatus, and/or non-transitory computer-readable storage comprising machine-readable code for the development and application of high-resolution crop yield models. The disclosed yield models may be captured yield data and corresponding remote sensing data covering relatively limited areas. Embodiments of the disclosed yield models may be capable of estimating spatial yield characteristics in areas for which accurate yield data are not available (and/or not practical to acquire), thereby enabling more widespread application of integrated land management techniques.
    Type: Application
    Filed: August 23, 2019
    Publication date: January 7, 2021
    Inventors: Lloyd M. Griffel, Damon S. Hartley, Matthew R. Kunz