Mixed signal communication networks are used in electromagnetically noisy environment to establish a stable link between local systems. The ability to predict their EMC compliance to standard immunity tests in design phase is required. The paper focuses on an AMS modeling procedure allowing to describe the CAN bus behaviour when affected by disturbances. The network is simulated combining mixed-signal models of CAN transceiver, cables and noise injection circuits, correctly assessing at system level the relationship between analog and digital signals. The obtained model efficiently predicts the influence of a continuous wave disturbance and estimates the immunity graph obtained through standard testing in a design phase. An application example on a real CAN network concludes the paper and confirms its ability to assess EMC problems.

Electromagnetic susceptibility assessment of controller area networks / Fontana, Michele; Canavero, Flavio; Perraud, Richard. - CD-ROM. - (2014), pp. 795-800. (Intervento presentato al convegno Electromagnetic Compatibility (EMC Europe), 2014 International Symposium on tenutosi a Gothenburg, Sweden nel 1-4 September 2014) [10.1109/EMCEurope.2014.6931013].

Electromagnetic susceptibility assessment of controller area networks

CANAVERO, Flavio;
2014

Abstract

Mixed signal communication networks are used in electromagnetically noisy environment to establish a stable link between local systems. The ability to predict their EMC compliance to standard immunity tests in design phase is required. The paper focuses on an AMS modeling procedure allowing to describe the CAN bus behaviour when affected by disturbances. The network is simulated combining mixed-signal models of CAN transceiver, cables and noise injection circuits, correctly assessing at system level the relationship between analog and digital signals. The obtained model efficiently predicts the influence of a continuous wave disturbance and estimates the immunity graph obtained through standard testing in a design phase. An application example on a real CAN network concludes the paper and confirms its ability to assess EMC problems.
2014
978-1-4799-3226-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2647349
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