Type of Publication
Year of Publication
2011
Authors

S. Saponara; E. Petri; L. Fanucci; P. Terreni

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.

DOI

10.1109/tim.2010.2084230

Volume

60

Notes

Times Cited: 5 Saponara, Sergio/F-9969-2011 Saponara, Sergio/0000-0001-6724-4219 5

Pagination

372-384

Number
2
ISSN Number

0018-9456