Patents by Inventor Daniel A. STEINGART

Daniel A. STEINGART 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).

  • Determination of characteristics of electrochemical systems using acoustic signals
    Patent number: 11193979
    Abstract: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: December 7, 2021
    Assignees: Feasible, Inc., The Trustees of Princeton University
    Inventors: Daniel A. Steingart, Greg Davies, Shaurjo Biswas, Andrew G. Hsieh, Barry Van Tassell, Thomas Hodson, Shan Dou
  • DETERMINATION OF CHARACTERISTICS OF ELECTROCHEMICAL SYSTEMS USING ACOUSTIC SIGNALS
    Publication number: 20190072614
    Abstract: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.
    Type: Application
    Filed: August 30, 2018
    Publication date: March 7, 2019
    Inventors: Daniel A. STEINGART, Greg DAVIES, Shaurjo BISWAS, Andrew G. HSIEH, Barry VAN TASSELL, Thomas HODSON, Shan DOU
  • Hyper-dendritic nanoporous zinc foam anodes, methods of producing the same, and methods for their use
    Patent number: 9893354
    Abstract: Disclosed are hyper-dendritic nanoporous zinc foam electrodes, viz., anodes, methods of producing the same, and methods for their use in electrochemical cells, especially in rechargeable electrical batteries.
    Type: Grant
    Filed: February 22, 2016
    Date of Patent: February 13, 2018
    Assignee: THE TRUSTEES OF PRINCETON UNIVERSITY
    Inventors: Daniel A. Steingart, Mylad Chamoun, Benjamin Hertzberg, Greg Davies, Andrew G. Hsieh
  • HYPER-DENDRITIC NANOPOROUS ZINC FOAM ANODES, METHODS OF PRODUCING THE SAME, AND METHODS FOR THEIR USE
    Publication number: 20170025677
    Abstract: Disclosed are hyper-dendritic nanoporous zinc foam electrodes, viz., anodes, methods of producing the same, and methods for their use in electrochemical cells, especially in rechargeable electrical batteries.
    Type: Application
    Filed: February 22, 2016
    Publication date: January 26, 2017
    Inventors: Daniel A. STEINGART, Mylad CHAMOUN, Benjamin HERTZBERG, Greg DAVIES, Andrew G. HSIEH