Στην παρούσα διπλωματική αναπτύσσεται συσκευή ανάγνωσης των δεδομένων του διαύλου CAN (CAN - controller area network - bus) με σκοπό τη λήψη δεδομένων για την τεχνική διάγνωση βλαβών και τη λήψη δεδομένων τηλεμετρίας σε πραγματικό χρόνο. Η διεπαφή μπορεί να χρησιμοποιηθεί για την εξαγωγή δεδομένων που βοηθούν στην έγκαιρη διάγνωση βλαβών πριν αυτές εξελιχθούν σε κοστοβόρες, στη μελέτη της λειτουργίας του αυτοκινήτου σε πραγματικό χρόνο για την επιβεβαίωση της καλής λειτουργίας του ή για τη συγκέντρωση στοιχείων για τη βελτίωση των επιδόσεών του κλπ. Στα πλαίσια της διπλωματικής, υλοποιείται συσκευή ανάγνωσης η οποία χρησιμοποιεί τα πρωτόκολλα επικοινωνίας που υποστηρίζονται από τη διεπαφή OBD-II ώστε να συλλέγει δεδομένα από τους διαύλους αυτοκινήτων και να τα αποστέλλει σε συνοδευτικό λογισμικό το οποίο αναλαμβάνει την παρουσίασή τους και την περαιτέρω επεξεργασία τους για την εξαγωγή χρήσιμων πληροφοριών και συμπερασμάτων. / In this thesis a scan tool is developed for vehicles' CAN buses (CAN - controller area network - bus) in order to obtain data for fault diagnosis and receiving telemetry data in real time. The interface can be used to export data to help in diagnosing faults before they become costly, to study the function of the car in real time, to confirm proper operation or to gather data for improving performance etc. In this thesis an OBD scanner is developed that uses the communication protocols supported by OBD-II interface in order to collect data from car buses and sends it to a bundled software for presentation and further processing for extracting useful information and draw further conclusions.

This project aims to create a mobile application for iOS devices that provide valuable information about user's car rides. Needed data are obtained by ELM327 located in OBD-II scanner which can communicate with the car. Obtained data are analyzed using table of limits. The application informs riders about their driving mistakes and giving them tips how to fix them. Trips can be saved and exported in the form of logbook. In addition application includes diagnostic functions that can be found in every other diagnostic application.

Refuse trucks, commonly referred to as garbage trucks are a critical component of a municipality’s waste management industry. Their primary purpose is to collect, transport and deposit waste from households or businesses to designated transfer sites or dumps. Historically, refuse trucks have been powered by diesel fuel. The consumption of diesel fuel paired with the frequent accelerations or decelerations between each residential household along a route attribute to high amounts of tailpipe emissions and noise pollution within neighbourhoods. There is significant opportunity to explore avenues of powertrain electrification in refuse trucks to reduce their emissions and improve energy efficiency. To rapidly test promising powertrains, vehicle software models were developed. To accurately model the energy usage and power requirements of refuse trucks, environments for the models to operate were created. The environments were created using on-board diagnostic and positional data collected from refuse trucks in the City of Hamilton in Ontario, Canada. The data collection was done under a research collaboration between the City of Hamilton and the McMaster Automotive Resource Centre. The approaches used to develop the drive and duty cycles for the vehicle models offer some innovative approaches without the need for invasive devices to be installed. The powertrains that were modelled includes an all-electric, ranged extended electric and conventional refuse trucks. A comparative analysis of the pump-to-wheel powertrain efficiencies were completed looking at metrics such as fuel economy, payload capacity and fuel costs. Lastly, a look at truck emissions from a well-to-wheel perspective were completed to investigate the impact of each powertrain on greenhouse gasses and the effect on air quality of their immediate surroundings. / Thesis / Master of Applied Science (MASc)