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Optimization Methodology For Cvt Ratio Scheduling With Consideration Of Both Engine And Cvt Efficiency, Steven Beuerle
Optimization Methodology For Cvt Ratio Scheduling With Consideration Of Both Engine And Cvt Efficiency, Steven Beuerle
Masters Theses
A transmission ratio schedule is developed to optimize the fuel consumption for an automotive continuously variable transmission (CVT) connected to an internal combustion engine (ICE). Although the optimal operating line (OOL) generated from an engine brake specific fuel consumption (BSFC) map can be used to generate a CVT ratio schedule that yields maximum engine efficiency, it was found that OOL-based CVT ratio scheduling does not necessarily offer the best fuel economy because optimal CVT efficiency does not always correspond to OOL tracking. To develop a CVT ratio schedule that can offer the best fuel economy, a novel ratio-scheduling methodology is …
Model Based Vehicle Simulation For Electrically Actuated Transmission Test Cells, Kenneth L. Gruel
Model Based Vehicle Simulation For Electrically Actuated Transmission Test Cells, Kenneth L. Gruel
Masters Theses
The Eaton Vehicle Group is responsible for the development of a large family of automotive products, including manual and automated manual transmissions for light, medium, and heavy duty vehicles. To further expand the transmission testing capabilities at Vehicle Group headquarters, the Vehicle Simulator system was developed and integrated into an existing motor-based test cell. System development time and cost were reduced by leveraging readily available vehicle models and real-time hardware. The Vehicle Simulator system allows a user to control the speed and torque settings of the test cell motors in manual mode, or switch the motors to vehicle emulation mode. …
Power Transmission Line Fault Classification Using Support Vector Machines, Zhuokang Jia
Power Transmission Line Fault Classification Using Support Vector Machines, Zhuokang Jia
Masters Theses
Electrical transmission lines are prone to faults and failures. When a fault occurs, it is impossible most of the times to fix it manually. Many methods have been adopted in the past in order to serve the purpose as fault diagnosing application. In this thesis, I discuss the method of Support Vector Machine (SVM) for fault diagnosis. SVM has the edge of good generalization over other fault diagnosing applications because it is based on pattern recognize algorithms. The aim is to classify the type of fault in the lines. Furthermore, in this work, the current and voltage of each phase …