Simulation and Analysis of Engine Torque – Measurement and Study of Its Effect on Heavy Duty Vehicles
Date of Award
Master of Science in Engineering
Mechanical and Aerospace Engineering
Dr. Muralidhar Ghantasala
Dr. Daniel Kujawski
Torque measurement, 1D AMESim simulation, crankshaft simulation, fuel savings, heavy duty engine
Masters Thesis-Abstract Only
Restricted to Campus until
Engine torque plays a vital role in efficient engine and transmission control, thereby helping to improve fuel efficiency, safety, and comfort. This thesis mainly presents the work on simulation and analysis of engine torque measurement accuracy for different vehicle operating conditions and its effects on fuel consumption.
The evaluation of WMU virtual torque sensor in laboratory conditions using dynamometer and real time on road truck testing is performed. The sensor uses the existing signal from the flywheel speed sensor to estimate the nth order flywheel angular acceleration. The tests were conducted for different engine speed-load conditions. The dynamometer and on truck testing are done at Eaton, Galesburg, MI, and other facilities. The WMU sensor measured torque values are close to those of a strain gauge-based sensor installed on the vehicle driveline. The comparison of these two values in different speed and load conditions is analyzed using different simulation and modeling techniques. 1D (AMESim and GT Suite) and 3D (ANSYS) simulations are used to analyze the torque variations in different vehicle drive conditions and its effect on fuel savings. The 1D modeling approach using AMESim showed that the flywheel angular acceleration is sensitive to the speed and load conditions which can be corelated to engine torque. Further, the results demonstrated that an improved accuracy in torque measurement can improve vehicle fuel economy. The details of the sensor performance and the analysis of these results using simulation models are presented in this thesis.
Chahal, Iqbal Singh, "Simulation and Analysis of Engine Torque – Measurement and Study of Its Effect on Heavy Duty Vehicles" (2021). Masters Theses. 5215.