The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 16, 2020
Filed:
Oct. 03, 2018
The Trustees of Princeton University, Princeton, NJ (US);
Daniel Artemis Steingart, Princeton, NJ (US);
Shoham Bhadra, North Brunswick, NJ (US);
Andrew Gaheem Hsieh, Berkeley, CA (US);
Benjamin Hertzberg, Princeton, NJ (US);
Peter James Gjeltema, Stow, MA (US);
Clarence Worth Rowley, III, Princeton, NJ (US);
Alexandre S. R. Goy, Lawrenceville, NJ (US);
Jason Wolf Fleischer, Princeton, NJ (US);
THE TRUSTEES OF PRINCETON UNIVERSITY, Princeton, NJ (US);
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.