FPGA implementation of the EIS technique for the on-line diagnosis of fuel-cell systems
- Resource Type
- Conference
- Authors
- Manganiello, P.; Petrone, G.; Giannattasio, M.; Monmasson, E.; Spagnuolo, G.
- Source
- 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Industrial Electronics (ISIE), 2017 IEEE 26th International Symposium on. :981-986 Jun, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Impedance
Fuel cells
Impedance measurement
Time-frequency analysis
Time measurement
Harmonic analysis
- Language
- ISSN
- 2163-5145
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.