Please use this identifier to cite or link to this item: doi:10.22028/D291-37269
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Title: Impedance model for a high-temperature ceramic humidity sensor
Author(s): Lensch, Henrik
Bastuck, Manuel
Baur, Tobias
Schütze, Andreas
Sauerwald, Tilman
Language: English
Title: Journal of sensors and sensor systems : JSSS
Volume: 8
Issue: 1
Pages: 161-169
Publisher/Platform: Copernicus Publications
Year of Publication: 2019
DDC notations: 621.3 Electrical engineering, electronics
Publikation type: Journal Article
Abstract: We present an equivalent circuit model for a titanium dioxide-based humidity sensor which enables discrimination of three separate contributions to the sensor impedance. The first contribution, the electronic conductance, consists of a temperature-dependent ohmic resistance. The second contribution arises from the ionic pathway, which forms depending on the relative humidity on the sensor surface. It is modeled by a constant-phase element (CPE) in parallel with an ohmic resistance. The third contribution is the capacitance of the double layer which forms at the blocking electrodes and is modeled by a second CPE in series to the first CPE. This model was fitted to experimental data between 1 mHz and 1 MHz recorded at different sensor temperatures (between room temperature and 320 ∘C) and different humidity levels. The electronic conductance becomes negligible at low sensor temperatures, whereas the double-layer capacitance becomes negligible at high sensor temperatures in the investigated frequency range. Both the contribution from the ionic pathway and from the double-layer capacitance strongly depend on the relative humidity and are, therefore, suitable sensor signals. The findings define the parameters for the development of a dedicated Fourier-based impedance spectroscope with much faster acquisition times, paving a way for impedance-based high-temperature humidity sensor systems.
DOI of the first publication: 10.5194/jsss-8-161-2019
URL of the first publication: https://jsss.copernicus.org/articles/8/161/2019/
Link to this record: urn:nbn:de:bsz:291--ds-372697
hdl:20.500.11880/33780
http://dx.doi.org/10.22028/D291-37269
ISSN: 2194-878X
2194-8771
Date of registration: 16-Sep-2022
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Andreas Schütze
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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