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Machine Learning for Emission Modeling of Fossil-fueled and Hydrogen-fueled Internal Combustion Engines
DownloadFall 2023
Development of fast and accurate emission models for engine-out and tailpipe of internal combustion engines (ICEs) using machine learning (ML) and hybrid methods are the focus of this thesis. The application is on medium and heavy-duty vehicles powered by both fossil fuels and alternative fuels...
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Tailpipe NOx Emission Dataset
2023-01-01
Shahpouri, Saeid, Jiang, Luo, Koch, Charles Robert, Shahbakhti, Mahdi
The dataset contains information on tailpipe NOx emissions for a heavy-duty diesel truck during real-driving conditions. The dataset includes the following columns: ambient air temperature (in degrees Celsius), vehicle speed (in km/h), engine speed (in rpm), engine torque (in N.m), fuel...