A Fast Approach for Battery Impedance Identification Using Pseudo Random Sequence (PRS) Signals

Jussi Sihvo, Daniel-Ioan Stroe, Tuomas Messo, Tomi Roinila

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Resumé

Online measurements of the battery impedance provides valuable information on the battery state-of-charge and state-of-health which can be utilized for improving the safety and the performance of the associated system. The electrochemical-impedance spectroscopy (EIS) is widely used for battery impedance measurements but it is not the most applicable solution for online measurements due to its slowness and complexity. These drawbacks can be improved using broadband signals, such as, pseudo-random-sequences (PRS), which are fast and easily implementable. However, the nonlinear
behavior of batteries have significant effect on the impedance measurements and the selection of the PRS signal. Majority of the PRS signals are applicable for measurements of linear systems but also signals for non-linear system identification do exist. Moreover, the reduced accuracy and signal-to-noise ratio of the PRS signals compared to the EIS make the filtering of the results as well as the amplitude design important aspects. This paper demonstrates the use of two PRS signals, the pseudo-random-binary-sequence (PRBS) and a ternary sequence with better toleration to battery non-linear effects, with comprehensive amplitude and filtering design for battery impedance measurements. It is shown that the ternary-sequence provides accurate measurements and the effects of non-linear dynamics of the battery impedance are reduced with respect to the PRBS measurements. The results are referenced and validated to practical EIS measurements in various operating conditions for lithium-iron-phosphate (LiFEPO4) cell.
OriginalsprogEngelsk
TidsskriftI E E E Transactions on Power Electronics
ISSN0885-8993
DOI
StatusE-pub ahead of print - feb. 2019

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Electrochemical impedance spectroscopy
Binary sequences
Protein Sorting Signals
Linear systems
Nonlinear systems
Signal to noise ratio
Identification (control systems)
Phosphates
Lithium
Health
Iron

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title = "A Fast Approach for Battery Impedance Identification Using Pseudo Random Sequence (PRS) Signals",
abstract = "Online measurements of the battery impedance provides valuable information on the battery state-of-charge and state-of-health which can be utilized for improving the safety and the performance of the associated system. The electrochemical-impedance spectroscopy (EIS) is widely used for battery impedance measurements but it is not the most applicable solution for online measurements due to its slowness and complexity. These drawbacks can be improved using broadband signals, such as, pseudo-random-sequences (PRS), which are fast and easily implementable. However, the nonlinearbehavior of batteries have significant effect on the impedance measurements and the selection of the PRS signal. Majority of the PRS signals are applicable for measurements of linear systems but also signals for non-linear system identification do exist. Moreover, the reduced accuracy and signal-to-noise ratio of the PRS signals compared to the EIS make the filtering of the results as well as the amplitude design important aspects. This paper demonstrates the use of two PRS signals, the pseudo-random-binary-sequence (PRBS) and a ternary sequence with better toleration to battery non-linear effects, with comprehensive amplitude and filtering design for battery impedance measurements. It is shown that the ternary-sequence provides accurate measurements and the effects of non-linear dynamics of the battery impedance are reduced with respect to the PRBS measurements. The results are referenced and validated to practical EIS measurements in various operating conditions for lithium-iron-phosphate (LiFEPO4) cell.",
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A Fast Approach for Battery Impedance Identification Using Pseudo Random Sequence (PRS) Signals. / Sihvo, Jussi; Stroe, Daniel-Ioan; Messo, Tuomas; Roinila, Tomi.

I: I E E E Transactions on Power Electronics, 02.2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - A Fast Approach for Battery Impedance Identification Using Pseudo Random Sequence (PRS) Signals

AU - Sihvo, Jussi

AU - Stroe, Daniel-Ioan

AU - Messo, Tuomas

AU - Roinila, Tomi

PY - 2019/2

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N2 - Online measurements of the battery impedance provides valuable information on the battery state-of-charge and state-of-health which can be utilized for improving the safety and the performance of the associated system. The electrochemical-impedance spectroscopy (EIS) is widely used for battery impedance measurements but it is not the most applicable solution for online measurements due to its slowness and complexity. These drawbacks can be improved using broadband signals, such as, pseudo-random-sequences (PRS), which are fast and easily implementable. However, the nonlinearbehavior of batteries have significant effect on the impedance measurements and the selection of the PRS signal. Majority of the PRS signals are applicable for measurements of linear systems but also signals for non-linear system identification do exist. Moreover, the reduced accuracy and signal-to-noise ratio of the PRS signals compared to the EIS make the filtering of the results as well as the amplitude design important aspects. This paper demonstrates the use of two PRS signals, the pseudo-random-binary-sequence (PRBS) and a ternary sequence with better toleration to battery non-linear effects, with comprehensive amplitude and filtering design for battery impedance measurements. It is shown that the ternary-sequence provides accurate measurements and the effects of non-linear dynamics of the battery impedance are reduced with respect to the PRBS measurements. The results are referenced and validated to practical EIS measurements in various operating conditions for lithium-iron-phosphate (LiFEPO4) cell.

AB - Online measurements of the battery impedance provides valuable information on the battery state-of-charge and state-of-health which can be utilized for improving the safety and the performance of the associated system. The electrochemical-impedance spectroscopy (EIS) is widely used for battery impedance measurements but it is not the most applicable solution for online measurements due to its slowness and complexity. These drawbacks can be improved using broadband signals, such as, pseudo-random-sequences (PRS), which are fast and easily implementable. However, the nonlinearbehavior of batteries have significant effect on the impedance measurements and the selection of the PRS signal. Majority of the PRS signals are applicable for measurements of linear systems but also signals for non-linear system identification do exist. Moreover, the reduced accuracy and signal-to-noise ratio of the PRS signals compared to the EIS make the filtering of the results as well as the amplitude design important aspects. This paper demonstrates the use of two PRS signals, the pseudo-random-binary-sequence (PRBS) and a ternary sequence with better toleration to battery non-linear effects, with comprehensive amplitude and filtering design for battery impedance measurements. It is shown that the ternary-sequence provides accurate measurements and the effects of non-linear dynamics of the battery impedance are reduced with respect to the PRBS measurements. The results are referenced and validated to practical EIS measurements in various operating conditions for lithium-iron-phosphate (LiFEPO4) cell.

KW - Lithium-ion battery

KW - Impedance measurements

KW - Online state-estimation

KW - Modeling

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