skip to main content
DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Systems and methods for estimation and prediction of battery health and performance

Abstract

Systems and computer-implemented methods are used for analyzing battery information. The battery information may be acquired from both passive data acquisition and active data acquisition. Active data may be used for feature extraction and parameter identification responsive to the input data relative to an electrical equivalent circuit model to develop geometric-based parameters and optimization-based parameters. These parameters can be combined with a decision fusion algorithm to develop internal battery parameters. Analysis processes including particle filter analysis, neural network analysis, and auto regressive moving average analysis can be used to analyze the internal battery parameters and develop battery health metrics. Additional decision fusion algorithms can be used to combine the internal battery parameters and the battery health metrics to develop state-of-health estimations, state-of-charge estimations, remaining-useful-life predictions, and end-of-life predictions for the battery.

Inventors:
;
Issue Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1503300
Patent Number(s):
10209314
Application Number:
15/357,322
Assignee:
Battelle Energy Alliance, LLC (Idaho Falls, ID)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Patent
Resource Relation:
Patent File Date: 2016 Nov 21
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Garcia, Humberto E., and Christophersen, Jon P.. Systems and methods for estimation and prediction of battery health and performance. United States: N. p., 2019. Web.
Garcia, Humberto E., & Christophersen, Jon P.. Systems and methods for estimation and prediction of battery health and performance. United States.
Garcia, Humberto E., and Christophersen, Jon P.. Tue . "Systems and methods for estimation and prediction of battery health and performance". United States. https://www.osti.gov/servlets/purl/1503300.
@article{osti_1503300,
title = {Systems and methods for estimation and prediction of battery health and performance},
author = {Garcia, Humberto E. and Christophersen, Jon P.},
abstractNote = {Systems and computer-implemented methods are used for analyzing battery information. The battery information may be acquired from both passive data acquisition and active data acquisition. Active data may be used for feature extraction and parameter identification responsive to the input data relative to an electrical equivalent circuit model to develop geometric-based parameters and optimization-based parameters. These parameters can be combined with a decision fusion algorithm to develop internal battery parameters. Analysis processes including particle filter analysis, neural network analysis, and auto regressive moving average analysis can be used to analyze the internal battery parameters and develop battery health metrics. Additional decision fusion algorithms can be used to combine the internal battery parameters and the battery health metrics to develop state-of-health estimations, state-of-charge estimations, remaining-useful-life predictions, and end-of-life predictions for the battery.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {2}
}

Patent:

Save / Share:

Works referenced in this record:

Impedance Mismatch Detection Circuit
patent-application, January 2013


Rapid Impedance Spectrum Measurements for State-of-Health Assessment of Energy Storage Devices
journal, April 2012

  • Christophersen, Jon P.; Morrison, John; Morrison, William
  • SAE International Journal of Passenger Cars - Electronic and Electrical Systems, Vol. 5, Issue 1
  • https://doi.org/10.4271/2012-01-0657

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
journal, February 2009


A novel online measurement technique for AC impedance of batteries and other electrochemical systems
conference, January 2001


A review on the key issues for lithium-ion battery management in electric vehicles
journal, March 2013


Fast summation transformation for battery impedance identification
conference, March 2009


Real Time Estimation of Battery Impedance
conference, January 2006


High-Power Battery Testing Procedures and Analytical Methodologies for HEV's
conference, June 2002


Battery condition monitoring (BCM) technologies about lead–acid batteries
journal, August 2006


A Study of Cell-to-Cell Interactions and Degradation in Parallel Strings: Implications for the Battery Management System
journal, October 2016


State-of-the-art of battery state-of-charge determination
journal, October 2005


Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia
journal, December 2016


Enhancing Li-Ion Battery Safety by Early Detection of Nascent Internal Shorts
journal, December 2016


Comparison of Several Methods for Determining the Internal Resistance of Lithium Ion Cells
journal, June 2010


Fuzzy logic modeling of EIS measurements on lithium-ion batteries
journal, January 2006


Improving the Functional Safety of Automotive Batteries Using in-situ Impedance Spectroscopy
journal, January 2016


Condition monitoring of Lithium-Ion Batteries for electric and hybrid electric vehicles
journal, May 2009


Diagnosis of lithium-ion batteries state-of-health based on electrochemical impedance spectroscopy technique
conference, September 2014


Electrochemical Characteristics and Impedance Spectroscopy Studies of Carbon-Carbon Supercapacitors
journal, January 2003


Temperature Dependent Performance and In Situ AC Impedance of High-Temperature PEM Fuel Cells Using the Nafion-112 Membrane
journal, January 2006


Statistical methodology for predicting the life of lithium-ion cells via accelerated degradation testing
journal, September 2008


Adaptive, multi-parameter battery state estimator with optimized time-weighting factors
journal, February 2007


Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena
journal, February 2004


Battery Management Systems in Electric and Hybrid Vehicles
journal, October 2011


Prognostics and health monitoring for lithium-ion battery
conference, July 2011


The intelligent automotive battery, “CYBOX®
journal, December 2008


An Electrochemical Impedance Measurement Technique Employing Fourier Transform
journal, May 2000


Cycling degradation of an automotive LiFePO4 lithium-ion battery
journal, February 2011


Prediction of Lithium-ion Battery's Remaining Useful Life Based on Relevance Vector Machine
journal, May 2016


Switching algorithms for extending battery life in Electric Vehicles
journal, June 2013


Characterization of the Resistance of a Fuel Cell on Load by Electrochemical Impedance Spectroscopy
conference, September 2007


Online detection of terminal voltage in Li-ion batteries via battery impulse response
conference, September 2009


Impedance based battery diagnosis for automotive applications
conference, January 2004


Lessons learned in using ohmic techniques for battery monitoring
conference, January 2001


Residential Energy Storage from Repurposed Electric Vehicle Batteries: Market Overview and Development of a Service-Centered Business Model
conference, August 2016


Calculation of the state of safety (SOS) for lithium ion batteries
journal, August 2016


Battery-Management System (BMS) and SOC Development for Electrical Vehicles
journal, January 2011


Effects of Reference Performance Testing during Aging Using Commercial Lithium-Ion Cells
journal, January 2006

  • Christophersen, Jon P.; Ho, Chinh D.; Motloch, Chester G.
  • Journal of The Electrochemical Society, Vol. 153, Issue 7, p. A1406-A1416
  • https://doi.org/10.1149/1.2201473

Pulse resistance effects due to charging or discharging of high-power lithium-ion cells: A path dependence study
journal, November 2007


Study of the “coup de fouet” of lead-acid cells as a function of their state-of-charge and state-of-health
journal, August 2006


Constant load vs constant current EIS study of electrochemical battery discharge
journal, January 1997


EIS study of electrochemical battery discharge on constant load
journal, January 1998


Impedance measurements of polymer electrolyte membrane fuel cells running on constant load
journal, August 1998


Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles
journal, May 2015


New Battery Model and State-of-Health Determination Through Subspace Parameter Estimation and State-Observer Techniques
journal, October 2009


Remaining useful life estimation of lithium-ion batteries based on the internal resistance growth model
conference, January 2017


Monitoring sealed automotive lead-acid batteries by sparse-impedance spectroscopy
journal, October 2003


On-line monitoring of lead–acid batteries by galvanostatic non-destructive technique
journal, October 2004


Development and Test of a Real Time Battery Impedance Estimation System
conference, January 2006


Online Measurement of Battery Impedance Using Motor Controller Excitation
journal, July 2014


An Online Battery Impedance Measurement Method Using DC–DC Power Converter Control
journal, November 2014


A method for measurement and interpretation of impedance spectra for industrial batteries
journal, January 2000


Prognostics in Battery Health Management
journal, August 2008


Understanding the molecular mechanism of pulse current charging for stable lithium-metal batteries
journal, July 2017


Towards Onboard Li-ion Battery State-of-health Diagnosis by a Virtual Sensor
journal, June 2012


Reducing and utilizing electrical noises for battery monitoring purposes
conference, January 2004

  • Noworolski, Z.; Eng, P.; Reskov, U.
  • INTELEC 26th Annual International Telecommunications Energy Conference, 2004 10th International Workshop on Computational Electronics (IEEE Cat. No.04EX915)
  • https://doi.org/10.1109/INTLEC.2004.1401532

Comparison of prognostic algorithms for estimating remaining useful life of batteries
journal, June 2009


A comparison of the different broadband impedance measurement techniques for lithium-ion batteries
conference, September 2016


Battery management systems in the China-made “Start” series FCHVs
conference, September 2008


Using on-board electrochemical impedance spectroscopy in battery management systems
conference, November 2013


Electrochemical impedance spectroscopy testing on the Advanced Technology Development Program lithium-ion cells
conference, January 2002


Battery state of health monitoring, combining conductance technology with other measurement parameters for real-time battery performance analysis
conference, January 2000

  • Cox, D. C.; Perez-Kite, R.
  • International IEEE Telecommunications Energy Conference, INTELEC. Twenty-Second International Telecommunications Energy Conference (Cat. No.00CH37131)
  • https://doi.org/10.1109/INTLEC.2000.884272

VRLA battery monitoring using conductance technology
conference, January 1995


Validation of single frequency Z measurement for standby battery state of health determination
conference, September 2008