FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems

P. Manganiello; G. Petrone; M. Giannattasio; E. Monmasson; G. Spagnuolo

doi:10.1109/ISIE.2017.8001379

FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems

P. Manganiello, G. Petrone, M. Giannattasio, E. Monmasson, G. Spagnuolo

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

14 Citations (Scopus)

Abstract

Electrochemical Impedance Spectroscopy (EIS) is a widely used tool for detecting degradation phenomena in electrochemical systems. In this paper a new approach for the fast estimation of fuel cell impedance is described. It is based on the use of a Pseudo-Random Binary Sequence as perturbation signal and the application of a Fast Fourier Transform algorithm to calculate the voltage and current harmonics in the frequency domain. With respect to the other approaches shown in literature, it is more suitable to run on an embedded system, thus allowing to perform the on-line diagnosis of fuel cell systems. The digital implementation of such method on a low cost FPGA device has been also proven.

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	981-986
Number of pages	6
ISBN (Electronic)	9781509014125
DOIs	https://doi.org/10.1109/ISIE.2017.8001379
Publication status	Published - 3 Aug 2017
Externally published	Yes
Event	26th IEEE International Symposium on Industrial Electronics, ISIE 2017 - Edinburgh, Scotland, United Kingdom Duration: 18 Jun 2017 → 21 Jun 2017

Publication series

Name	IEEE International Symposium on Industrial Electronics

Conference

Conference	26th IEEE International Symposium on Industrial Electronics, ISIE 2017
Country/Territory	United Kingdom
City	Edinburgh, Scotland
Period	18/06/17 → 21/06/17

Access to Document

10.1109/ISIE.2017.8001379

Cite this

Manganiello, P., Petrone, G., Giannattasio, M., Monmasson, E., & Spagnuolo, G. (2017). FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems. In Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017 (pp. 981-986). Article 8001379 (IEEE International Symposium on Industrial Electronics). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISIE.2017.8001379

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title = "FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems",

abstract = "Electrochemical Impedance Spectroscopy (EIS) is a widely used tool for detecting degradation phenomena in electrochemical systems. In this paper a new approach for the fast estimation of fuel cell impedance is described. It is based on the use of a Pseudo-Random Binary Sequence as perturbation signal and the application of a Fast Fourier Transform algorithm to calculate the voltage and current harmonics in the frequency domain. With respect to the other approaches shown in literature, it is more suitable to run on an embedded system, thus allowing to perform the on-line diagnosis of fuel cell systems. The digital implementation of such method on a low cost FPGA device has been also proven.",

author = "P. Manganiello and G. Petrone and M. Giannattasio and E. Monmasson and G. Spagnuolo",

year = "2017",

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note = "26th IEEE International Symposium on Industrial Electronics, ISIE 2017 ; Conference date: 18-06-2017 Through 21-06-2017",

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Manganiello, P, Petrone, G, Giannattasio, M, Monmasson, E & Spagnuolo, G 2017, FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems. in Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017., 8001379, IEEE International Symposium on Industrial Electronics, Institute of Electrical and Electronics Engineers (IEEE), pp. 981-986, 26th IEEE International Symposium on Industrial Electronics, ISIE 2017, Edinburgh, Scotland, United Kingdom, 18/06/17. https://doi.org/10.1109/ISIE.2017.8001379

FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems. / Manganiello, P.; Petrone, G.; Giannattasio, M. et al.
Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 981-986 8001379 (IEEE International Symposium on Industrial Electronics).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N2 - Electrochemical Impedance Spectroscopy (EIS) is a widely used tool for detecting degradation phenomena in electrochemical systems. In this paper a new approach for the fast estimation of fuel cell impedance is described. It is based on the use of a Pseudo-Random Binary Sequence as perturbation signal and the application of a Fast Fourier Transform algorithm to calculate the voltage and current harmonics in the frequency domain. With respect to the other approaches shown in literature, it is more suitable to run on an embedded system, thus allowing to perform the on-line diagnosis of fuel cell systems. The digital implementation of such method on a low cost FPGA device has been also proven.

AB - Electrochemical Impedance Spectroscopy (EIS) is a widely used tool for detecting degradation phenomena in electrochemical systems. In this paper a new approach for the fast estimation of fuel cell impedance is described. It is based on the use of a Pseudo-Random Binary Sequence as perturbation signal and the application of a Fast Fourier Transform algorithm to calculate the voltage and current harmonics in the frequency domain. With respect to the other approaches shown in literature, it is more suitable to run on an embedded system, thus allowing to perform the on-line diagnosis of fuel cell systems. The digital implementation of such method on a low cost FPGA device has been also proven.

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Manganiello P, Petrone G, Giannattasio M, Monmasson E, Spagnuolo G. FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems. In Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 981-986. 8001379. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/ISIE.2017.8001379

FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems

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