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Office of Scientific and Technical Information
 

Method of detecting system function by measuring frequency response

Patent ·
OSTI ID:1082875
; ; ;
Methods of rapidly measuring an impedance spectrum of an energy storage device in-situ over a limited number of logarithmically distributed frequencies are described. An energy storage device is excited with a known input signal, and a response is measured to ascertain the impedance spectrum. An excitation signal is a limited time duration sum-of-sines consisting of a select number of frequencies. In one embodiment, magnitude and phase of each frequency of interest within the sum-of-sines is identified when the selected frequencies and sample rate are logarithmic integer steps greater than two. This technique requires a measurement with a duration of one period of the lowest frequency. In another embodiment, where selected frequencies are distributed in octave steps, the impedance spectrum can be determined using a captured time record that is reduced to a half-period of the lowest frequency.
Research Organization:
INL (Idaho National Laboratory (United States))
Sponsoring Organization:
USDOE
DOE Contract Number:
AC07-05ID14517;
Assignee:
Battelle Energy Alliance, LLC (Idaho Falls, ID)
Patent Number(s):
8,352,204
Application Number:
12/772,880
OSTI ID:
1082875
Country of Publication:
United States
Language:
English

References (5)

Comparison of impedance measurements in a DSP using ellipse-fit and seven-parameter sine-fit algorithms journal November 2009
Accurate method of representation of high-voltage measuring systems and its application in high-impulse-voltage measurements
  • 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
journal March 1989
Fast summation transformation for battery impedance identification conference March 2009
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

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