A CAN network based intelligent monitoring system for automotive vehicles



Wei, Chuliang.
(2006) A CAN network based intelligent monitoring system for automotive vehicles. PhD thesis, University of Liverpool.

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Abstract

Road vehicles are the major pollution sources which seriously harm human health and the environment worldwide. A series of directives for limiting vehicle pollution have been introduced pillticularly in the EU and USA. Presently many investigations are being carried out in order to find out more effectively ways to reduce the vehicle pollution hy precise measurement of the vehicle pollution. Tllis thesis reports the details of the design illId construction of a CAN network based intelligent monitoring system for the distributed monitoring of vellicle pollution. The essential theory to SUppOlt the development of the CAN networks is given in this thesis. The system descrihed in this thesis monitors the vehicle engine vibration, temperature of the vehicle exhaust emissions, and the vehicle exhaust gases. The CAN networks have been developed for each suh-system so that the system can be incorporated into automotive vehicles. The system has been tested on a diesel engine and showed that the vihration and the temperature were accurately measured. The tests of the priI11ill'y set-ups of the gas monitoring suh-system showed that the exhaust gases could he detected, and the pollution levels of each exhaust gases could he precisely measured. This project has heen undertaken as pillt of an EC Framework Programme 6 STREP project (OPTO-EMI-SENSE) and the results are being reviewed by Centro Ricerche Fiat for installation on a new diesel engine car. Chuliang

Item Type: Thesis (PhD)
Depositing User: Symplectic Admin
Date Deposited: 20 Oct 2023 14:39
Last Modified: 20 Oct 2023 14:42
DOI: 10.17638/03174967
Copyright Statement: Copyright © and Moral Rights for this thesis and any accompanying data (where applicable) are retained by the author and/or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge.
URI: https://livrepository.liverpool.ac.uk/id/eprint/3174967