Princeton University

Feasible, Inc.

Thomas Hodson

Andrew Gaheem Hsieh

Daniel Artemis Steingart

Shaurjo Biswas

Barry James Van Tassell

Shan Dou

Greg Davies

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.

Determination of characteristics of electrochemical systems using acoustic signals

Growing community of inventors

Princeton, NJ, United States of America

Thomas Hodson