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Sensor Modeling, Low-Complexity Fusion Algorithms, and Mixed-Signal IC Prototyping for Gas Measures in Low-Emission Vehicles

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4 Author(s)
Sergio Saponara ; Department of Information Engineering, University of Pisa, Pisa, Italy ; Esa Petri ; Luca Fanucci ; Pierangelo Terreni

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.

Published in:

IEEE Transactions on Instrumentation and Measurement  (Volume:60 ,  Issue: 2 )