Graduation Semester and Year

2016

Language

English

Document Type

Thesis

Degree Name

Master of Science in Mechanical Engineering

Department

Mechanical and Aerospace Engineering

First Advisor

Robert L Woods

Second Advisor

David Hunn

Abstract

UTA Racing is known for building well-engineered FSAE racecars. This year team is building, its first electric car by using AWD in-wheel motor concept car E-16. All wheel drive electric vehicles has an ability to apply instantaneous torque to all four wheels permit increased car performance. An ‘Active Model Based Torque Vectoring System controller’ is designed to realize this objective. The controller was designed to replicate three electronically controlled LSD's on an all-wheel drive platform with different control strategies. This was achieved based on the principal of distributing total driver requested torque between wheels, equivalent to the percentage of the normal load on the tires. Steady state vehicle dynamics models are combined with on board sensors and driver inputs to calculate normal loads on each wheel. This system dictates torque to each motor controller in terms of duty cycle based on measured inputs Torque vectoring system has designed based on two strategies called 3 differential strategy and 2 differential strategy has implemented in this study. The detailed discussion about reason behind these strategies are discussed in this study. MATLAB Simulink program used for programming the torque vectoring controllers due to ease of programming, debugging, analysis, simulations and automatic conversion to C-code. .This state based controller has tested using MATLAB program to realize output of controller program during different driving scenario.

Keywords

All wheel drive torque vectoring, Electric car

Disciplines

Aerospace Engineering | Engineering | Mechanical Engineering

Comments

Degree granted by The University of Texas at Arlington

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