Method of detecting system function by measuring frequency response

Morrison, John L; Morrison, William H; Christophersen, Jon P

Title: Method of detecting system function by measuring frequency response

Abstract

Real-time battery impedance spectrum is acquired using a one-time record. Fast Summation Transformation (FST) is a parallel method of acquiring a real-time battery impedance spectrum using a one-time record that enables battery diagnostics. An excitation current to a battery is a sum of equal amplitude sine waves of frequencies that are octave harmonics spread over a range of interest. A sample frequency is also octave and harmonically related to all frequencies in the sum. The time profile of this signal has a duration that is a few periods of the lowest frequency. The voltage response of the battery, average deleted, is the impedance of the battery in the time domain. Since the excitation frequencies are known and octave and harmonically related, a simple algorithm, FST, processes the time record by rectifying relative to the sine and cosine of each frequency. Another algorithm yields real and imaginary components for each frequency.

Inventors:

Morrison, John L ^[1]; Morrison, William H ^[2]; Christophersen, Jon P ^[3]

Butte, MT
Manchester, CT
Idaho Falls, ID

Issue Date:: 2012-04-03

Research Org.:: Idaho National Lab. (INL), Idaho Falls, ID (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1041020

Patent Number(s):: 8150643

Application Number:: 12/217,013

Assignee:: Battelle Energy Alliance, LLC (Idaho Falls, ID); Montana Tech of the University of Montana (Butte, MT); Qualtech Systems, Inc. (East Hartford, CT)

Patent Classifications (CPCs):: G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES

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G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
G01R31/389 - Measuring internal impedance, internal conductance or related variables

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DOE Contract Number:: AC07-05ID14517

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: 25 ENERGY STORAGE

Citation Formats


                    Morrison, John L, Morrison, William H, and Christophersen, Jon P. Method of detecting system function by measuring frequency response.  United States: N. p., 2012. 
        Web.

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                    Morrison, John L, Morrison, William H, & Christophersen, Jon P. Method of detecting system function by measuring frequency response.  United States.

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                    Morrison, John L, Morrison, William H, and Christophersen, Jon P. Tue .  
        "Method of detecting system function by measuring frequency response".  United States.  https://www.osti.gov/servlets/purl/1041020.

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@article{osti_1041020,

  title        = {Method of detecting system function by measuring frequency response},

  author       = {Morrison, John L and Morrison, William H and Christophersen, Jon P},

  abstractNote = {Real-time battery impedance spectrum is acquired using a one-time record. Fast Summation Transformation (FST) is a parallel method of acquiring a real-time battery impedance spectrum using a one-time record that enables battery diagnostics. An excitation current to a battery is a sum of equal amplitude sine waves of frequencies that are octave harmonics spread over a range of interest. A sample frequency is also octave and harmonically related to all frequencies in the sum. The time profile of this signal has a duration that is a few periods of the lowest frequency. The voltage response of the battery, average deleted, is the impedance of the battery in the time domain. Since the excitation frequencies are known and octave and harmonically related, a simple algorithm, FST, processes the time record by rectifying relative to the sine and cosine of each frequency. Another algorithm yields real and imaginary components for each frequency.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2012},

  month        = {4}

}

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Works referenced in this record:

Real Time Estimation of Battery Impedance
conference, January 2006

Morrison, J. L.; Morrison, W. H.
2006 IEEE Aerospace Conference
https://doi.org/10.1109/AERO.2006.1656090

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

Christophersen, J. P.; Glenn, D. F.; Motloch, C. G.
2002 IEEE 56th Vehicular Technology Conference, Proceedings IEEE 56th Vehicular Technology Conference
https://doi.org/10.1109/VETECF.2002.1040537

Model validation approaches for nonlinear feedback systems using frequency response measurements
conference, January 1999

Smith, R.; Banaszuk, A.; Dullerud, G.
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
https://doi.org/10.1109/CDC.1999.830202

Lumped parameter modeling as a predictive tool for a battery status monitor
conference, January 2003

Christophersen, J. P.; Motloch, C. G.; Ho, C. D.
2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484)
https://doi.org/10.1109/VETECF.2003.1286255

Accurate method of representation of high-voltage measuring systems and its application in high-impulse-voltage measurements
journal, March 1989

Nikolopoulos, P. N.; Topalis, F. V.
IEE Proceedings A (Physical Science, Measurement and Instrumentation, Management and Education), Vol. 136, Issue 2, p. 66-72
https://doi.org/10.1049/ip-a-2.1989.0010

Comparison of impedance measurements in a DSP using ellipse-fit and seven-parameter sine-fit algorithms
journal, November 2009

Ramos, Pedro M.; Janeiro, Fernando M.; Radil, Tomáš
Measurement, Vol. 42, Issue 9, p. 1370-1379
https://doi.org/10.1016/j.measurement.2009.05.005

Fast summation transformation for battery impedance identification
conference, March 2009

Morrison, John L.; Smyth, Brian; Wold, Josh
2009 IEEE Aerospace conference
https://doi.org/10.1109/AERO.2009.4839680

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Title: Method of detecting system function by measuring frequency response

Abstract

Citation Formats

Real Time Estimation of Battery Impedance conference, January 2006

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

Model validation approaches for nonlinear feedback systems using frequency response measurements conference, January 1999

Lumped parameter modeling as a predictive tool for a battery status monitor conference, January 2003

Accurate method of representation of high-voltage measuring systems and its application in high-impulse-voltage measurements journal, March 1989

Comparison of impedance measurements in a DSP using ellipse-fit and seven-parameter sine-fit algorithms journal, November 2009

Fast summation transformation for battery impedance identification conference, March 2009

Real Time Estimation of Battery Impedance
conference, January 2006

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

Model validation approaches for nonlinear feedback systems using frequency response measurements
conference, January 1999

Lumped parameter modeling as a predictive tool for a battery status monitor
conference, January 2003

Accurate method of representation of high-voltage measuring systems and its application in high-impulse-voltage measurements
journal, March 1989

Comparison of impedance measurements in a DSP using ellipse-fit and seven-parameter sine-fit algorithms
journal, November 2009

Fast summation transformation for battery impedance identification
conference, March 2009