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EnglishThis paper addresses the detection of hydrogen leaks for safety warning systems in automotive applications and the measurement of nitrogen oxide concentration in exhaust gases of zero-emission vehicles. The presented approach is based on the development of accurate models (including nonlinearity and error sources of real building components) for all the system elements: sensors and acquisition chain. This methodology enables efficient design space exploration and sensitivity analysis, allowing an optimal analog-digital and hardware-software partitioning. Such analysis drives also the development of effective data fusion techniques to reduce the measure uncertainty (due to cross-sensitivity to other gases or to temperature/humidity variations). Such techniques have been implemented on a microcontroller-based mixed-signal embedded platform for intelligent sensor interfacing with limited complexity, suitable for automotive applications.
| Autori interni: | |
| Autori: | Saponara S; Petri E; Fanucci L; Terreni P. |
| Titolo: | Sensor Modeling, Low-Complexity Fusion Algorithms, and Mixed-Signal IC Prototyping for Gas Measures in Low-Emission Vehicles |
| Anno del prodotto: | 2011 |
| Abstract: | This paper addresses the detection of hydrogen leaks for safety warning systems in automotive applications and the measurement of nitrogen oxide concentration in exhaust gases of zero-emission vehicles. The presented approach is based on the development of accurate models (including nonlinearity and error sources of real building components) for all the system elements: sensors and acquisition chain. This methodology enables efficient design space exploration and sensitivity analysis, allowing an optimal analog-digital and hardware-software partitioning. Such analysis drives also the development of effective data fusion techniques to reduce the measure uncertainty (due to cross-sensitivity to other gases or to temperature/humidity variations). Such techniques have been implemented on a microcontroller-based mixed-signal embedded platform for intelligent sensor interfacing with limited complexity, suitable for automotive applications. |
| Digital Object Identifier (DOI): | 10.1109/TIM.2010.2084230 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
http://hdl.handle.net/11568/199786
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