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Title: Apparatus and method for determining state of change (SOC) and state of health (SOH) of electrical cells

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.

Inventors:
; ; ; ; ; ; ;
Issue Date:
Research Org.:
Princeton Univ., NJ (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1651019
Patent Number(s):
10684262
Application Number:
16/150,655
Assignee:
The Trustees of Princeton University (Princeton, NJ)
Patent Classifications (CPCs):
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
DOE Contract Number:  
AR0000400
Resource Type:
Patent
Resource Relation:
Patent File Date: 10/03/2018
Country of Publication:
United States
Language:
English

Citation Formats

Steingart, Daniel Artemis, Bhadra, Shoham, Hsieh, Andrew Gaheem, Hertzberg, Benjamin, Gjeltema, Peter James, Rowley, III, Clarence Worth, Goy, Alexandre S. R., and Fleischer, Jason Wolf. Apparatus and method for determining state of change (SOC) and state of health (SOH) of electrical cells. United States: N. p., 2020. Web.
Steingart, Daniel Artemis, Bhadra, Shoham, Hsieh, Andrew Gaheem, Hertzberg, Benjamin, Gjeltema, Peter James, Rowley, III, Clarence Worth, Goy, Alexandre S. R., & Fleischer, Jason Wolf. Apparatus and method for determining state of change (SOC) and state of health (SOH) of electrical cells. United States.
Steingart, Daniel Artemis, Bhadra, Shoham, Hsieh, Andrew Gaheem, Hertzberg, Benjamin, Gjeltema, Peter James, Rowley, III, Clarence Worth, Goy, Alexandre S. R., and Fleischer, Jason Wolf. Tue . "Apparatus and method for determining state of change (SOC) and state of health (SOH) of electrical cells". United States. https://www.osti.gov/servlets/purl/1651019.
@article{osti_1651019,
title = {Apparatus and method for determining state of change (SOC) and state of health (SOH) of electrical cells},
author = {Steingart, Daniel Artemis and Bhadra, Shoham and Hsieh, Andrew Gaheem and Hertzberg, Benjamin and Gjeltema, Peter James and Rowley, III, Clarence Worth and Goy, Alexandre S. R. and Fleischer, Jason Wolf},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {6}
}

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Works referenced in this record:

Battery management systems with thermally integrated fire suppression
patent, July 2017


Regional charging control service
patent, October 2017