Fast summation transformation for battery impedance identification

Morrison, John L.; Smyth, Brian; Wold, Josh; Butherus, Das K.; Morrison, William H.; Christopherson, Jon P.; Motloch, Chester G.

doi:10.1109/aero.2009.4839680

Cited by 4 publications

(6 citation statements)

References 2 publications

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“…The first half of the excitation signal (i.e., the mirror image) was discarded, and the simulated impedance results were based only on the second period of the lowest frequency. Electrochemical transient effects have also been observed in actual cell testing, but previous studies [20] have demonstrated that the transient effects primarily influence the Warburg tail at lower frequencies, though they have minimal impact on the charge transfer resistance region of the spectra. Consequently, only one period of the lowest frequency should be needed to complete a CTC measurement of an actual cell.…”

Section: Resultsmentioning

confidence: 98%

“…max E CTC Theoretical (11) Although a frequency range of 25.6 to 0.025 Hz adequately describes the semicircle of the TCC model, a 40-second excitation signal is not very practical for rapid, onboard applications. For typical lithium-ion cell chemistries, a more common frequency range is between 1638.4 and 0.1 Hz [20]. This results in only a 10-second measurement for one period of the lowest frequency.…”

Section: Resultsmentioning

confidence: 99%

“…The measurements are also usually taken sequentially as the frequency is incrementally changed, and this results in long test durations (somewhere in the range of ten minutes to an hour depending on the system settings and frequency range). However, new techniques, known as Compensated Synchronous Detection (CSD) and Fast Summation Transformation (FST) [17][18][19][20], have recently been developed to enable rapid impedance spectra measurements using a hardware platform that could be designed as an embedded system. Instead of sequentially measuring the impedance at each frequency of interest, the CSD and FST techniques use an excitation signal that consists of a sum-ofsines that simultaneously contains all frequencies of interest.…”

Section: Introductionmentioning

confidence: 99%

“…For FST [19][20], the sum-of-sines excitation signal is limited to a frequency spread that is separated by octave harmonics. With octave harmonics, the crosstalk error is eliminated since all of the other sinc functions cross zero at the frequency being detected.…”

Section: Introductionmentioning

confidence: 99%

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Crosstalk compensation for a rapid, higher-resolution impedance spectrum measurement

Christophersen

Morrison

et al. 2012

2012 IEEE Aerospace Conference

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Abstract-CrosstalkCompensation is an approach that enables rapid, higher-resolution impedance spectra measurements of energy storage devices. The input signal consists of a sum-ofsines excitation current that has a known frequency spread. The advantage of Crosstalk Compensation is that high resolution spectra can be acquired within one period of the lowest frequency while also including non-harmonic frequencies. The crosstalk interference at a given frequency can be pre-determined and assigned to an error matrix. The real and imaginary impedance can then be calculated based on the inverse of the error matrix and captured response. Analytical validation of Crosstalk Compensation was performed using a battery equivalent circuit model. Two different frequency ranges were simulated, and both indicated that a minimum step factor between frequencies should be 1.25 to reduce the error in compensating the captured response signal. For a frequency range of 1638.4-0.1 Hz, for example, a maximum of 45 frequencies should be included within the excitation signal to accurately acquire the impedance spectra at high resolution. A simplified derivation of Crosstalk Compensation and its corresponding analytical validation studies are discussed.

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Section: Resultsmentioning

confidence: 98%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Crosstalk compensation for a rapid, higher-resolution impedance spectrum measurement

Christophersen

Morrison

et al. 2012

2012 IEEE Aerospace Conference

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“…Battery identification is used for battery modeling which allows estimation of the state of charge (SOC), the state of health (SOH), and capacity fading [5][6][7][8][9][10][11][12][13]. In addition, the identification of these characteristics is required for fast and improved charging efficiency.…”

Section: Itroductionmentioning

confidence: 99%

Online Embedded Impedance Measurement Using High-Power Battery Charger

Lee

Park

Han

2015

IEEE Trans. on Ind. Applicat.

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This paper presents new functionality for high power battery chargers by incorporating an impedance measurement algorithm. The measurement of battery impedance can be performed by the battery charger to provide an accurate equivalent model for battery management purposes. In this paper, an extended control capability of the on-board battery charger for electric vehicles is used to measure on-line impedance of the battery. The impedance of the battery is measured by 1) injecting ac current ripple on top of the dc charging current, 2) transforming voltage and current signals using a virtual α-β stationary coordinate system, d-q rotating coordinate system, and two filtering systems, 3) calculating ripple voltage and current values, and 4) calculating the angle and magnitude of the impedance. The contributions of this research are the use of the d-q transformation to attain the battery impedance, theta and its ripple power, as well as providing a controller design procedure which has impedance measurement capability. The on-line impedance information can be utilized for diverse applications, such as 1) a theta control for sinusoidal current charging, 2) the quantifying of reactive current and voltage, 3) ascertaining the state of charge, 4) determining the state of health, and 5) finding the optimized charging current. Therefore, the benefit of this method is that it can be deployed in already existing high power chargers regardless of battery chemistry. Validations of the proposed approach were made by comparing measurement values by using a battery charger and a commercial frequency response analyzer.Index Terms-Impedance measurement, high power battery charger, d-q transformation.0093-9994 (c)

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Two Time-Scaled Battery Model Identification With Application to Battery State Estimation

Wang

2015

IEEE Trans. Contr. Syst. Technol.

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Fast summation transformation for battery impedance identification

Cited by 4 publications

References 2 publications

Crosstalk compensation for a rapid, higher-resolution impedance spectrum measurement

Crosstalk compensation for a rapid, higher-resolution impedance spectrum measurement

Online Embedded Impedance Measurement Using High-Power Battery Charger

Two Time-Scaled Battery Model Identification With Application to Battery State Estimation

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