Progress in Canadian Mechanical Engineering, Volume 5
Contains proceedings of the 2022 CSME International Congress, held at the University of Alberta, Edmonton, Alberta, on 5-8 June 2022.
Items in this Collection
- 15Shahbakhti, Mahdi
- 10Koch, Charles Robert
- 6Norouzi, Armin
- 4Abediasl, Hamidreza
- 4Shahpouri, Saeid
- 3Ansari, Amir
- 7Abstract
- 3abstract
- 1Artificial Neural Networks
- 1Cell polarization
- 1Fleet Management
- 1High NOx Emitters
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Cooperative Truck Platooning Trials on Canadian Public Roads under a Commercial Operation in Winter Driving Conditions
Download2022-06-01
Jiang, Luo, Kheyrollahi, Javad, Koch, Charles Robert, Shahbakhti, Mahdi
Conference Abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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Deep Learning and Nonlinear Model Predictive Control Integration for Compression Ignition Engine Emission Reduction
Download2022-06-01
Norouzi, Armin, Shahpouri, Saeid, Gordon, David, Winkler, Alexander, Nuss, Eugen, Andert, Jakob, Shahbakhti, Mahdi, Koch, Charles Robert
Conference abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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2022-06-01
Gordon, David, Norouzi, Armin, Shahpouri, Saeid, Shahbakhti, Mahdi, Koch, Charles Robert
Conference abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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2022-06-01
Ansari, Amir, Abediasl, Hamidreza, Shahbakhti, Mahdi
Conference Abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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EMISSION MEASUREMENT OF UNIVERSITY FLEET VEHICLES THROUGH ON-ROAD REMOTE SENSING AND IDENTIFICATION OF HIGH NOx EMITTERS
Download2022-06-01
Abediasl, Hamidreza, Hosseini, Vahid, Koch, Charles Robert, Shahbakhti, Mahdi
Remote sensing emission measurement is a method to measure real driving emissions to identify high emitter vehicles. High NOx emitter vehicles are recognized among the selected 14 vehicles of the University of Alberta fleet. By combining remote sensing and on-board diagnostics (OBD) data, an...
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Estimating Instantaneous Fuel Consumption of Vehicles By Using Machine Learning And Real-Time On-Board Diagnostics (OBD) Data
Download2022-06-01
Ansari, Amir, Abediasl, Hamidreza, Patel, Parth Rakeshkumar, Hosseini, Vahid, Koch, Charles Robert, Shahbakhti, Mahdi
Estimation of instantaneous fuel consumption of fleet vehicles to identify the causes of high fuel consumption and determine the optimum vehicle type for different applications and driving cycles is essential for the design of an intelligent fleet management system. Developing a practical and...
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2022-06-01
ElKashat, Ahmed Khaled, Razmi, Amir Reza, Vafaeenezhad, Sajad, Hanifi, Amir Reza, Etsell, Thomas H., Shahbakhti, Mahdi
Solid oxide fuel cell (SOFC) is a promising clean technology to generate power with high efficiency at different scales. Decreasing the degradation rate of SOFCs is a challenge that can be tackled by lowering the operation temperature (<650°C). However, this can adversely affect cell performance...
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2022-06-01
Mcnally, Jakub, Gordon, David, Norouzi, Armin, Shahbakhti, Mahdi, Koch, Charles Robert
Conference abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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2022-06-01
Liu, Yang, Ansari, Amir, Shahbakhti, Mahdi
A driving cycle represents the operating conditions of a vehicle as a function of vehicle speed and time. It is used for assessment of vehicle energy consumption, tailpipe emissions, and driving behavior. A driving cycle depends on a vehicle application, geographical regions, and driving zones...
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Impact of Cold Climate on Emissions and Fuel Consumption of Vehicles: Knowledge Gap Synthesis
Download2022-06-01
Abediasl, Hamidreza, Hosseini, Vahid, Meresht, Navid Balazadeh, Koch, Charles Robert, Shahbakhti, Mahdi
Conference Abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.