Name: | Description: | Size: | Format: | |
---|---|---|---|---|
554.16 KB | Adobe PDF |
Advisor(s)
Abstract(s)
This paper proposes a new approach to determine the distribution of relaxation times (DRT) directly from the electro-chemical impedance spectroscopy (EIS) data, i.e. without the use of an equivalent electrical circuit model. The method uses a generalized fractional-order Laguerre basis to represent EIS where both the parameters of the basis and their co-efficients are estimated by solving a nonconvex minimization problem. Furthermore, the DRT confidence region is de-termined to assess the accuracy and precision of the DRT estimate. The approach is applied to analyze the dominant dynamic properties of an open-cathode hydrogen fuel-cell under different current and air-flow conditions. Results showed that the estimated DRT closely reconstructs EIS data even when there is a higher variance at smaller relaxation times.
Description
Keywords
Fuel cells Impedance spectroscopy Distribution relaxation times Parameter estimation Residuals bootstrap
Citation
Lopes, V. Vitor; Rangel, C.M.; Novais, Augusto Q. Electrochemical impedance spectroscopy modeling using the dis-tribution of relaxation times and error analysis for fuel cells. In: HYCELTEC'2013 - IV Iberian Symposium on Hydrogen, Fuel Cells and Advanced Batteries, Book of Abstracts, Estoril, 26-28 June, 2013