Patents by Inventor Thomas HODSON

Thomas HODSON 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
    Publication number: 20220206075
    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: December 6, 2021
    Publication date: June 30, 2022
    Inventors: Daniel STEINGART, Greg DAVIES, Shaurjo BISWAS, Andrew HSIEH, Barry VAN TASSELL, Thomas HODSON, Shan DOU
  • 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