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 volumeConference contributionScientificpeer-review

11 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 languageEnglish
Title of host publicationProceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages981-986
Number of pages6
ISBN (Electronic)9781509014125
DOIs
Publication statusPublished - 3 Aug 2017
Externally publishedYes
Event26th IEEE International Symposium on Industrial Electronics, ISIE 2017 - Edinburgh, Scotland, United Kingdom
Duration: 18 Jun 201721 Jun 2017

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference26th IEEE International Symposium on Industrial Electronics, ISIE 2017
CountryUnited Kingdom
CityEdinburgh, Scotland
Period18/06/1721/06/17

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