Use this URL to cite or link to this record in EThOS:
Title: A CAN network based intelligent monitoring system for automotive vehicles
Author: Wei, Chuliang.
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2006
Availability of Full Text:
Access from EThOS:
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
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available