Lane Keep Assist System for Chevrolet Blazer
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Cao, Xinyu
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Abstract
This thesis presents the design process of a lane keep assist (LKA) system for a hybrid electric vehicle, Chevrolet Blazer. The vehicle is implemented with a P4 Split-Parallel hybrid architecture, the vehicle’s front axle is powered by a GM 2.0L I-4 Turbo engine coupled with a 9-spd automatic transmission and an eRAD motor is used to propel the rear axle. The primary goal of this thesis is to present the construction of a hybrid electric vehicle system model, the development of an LKA system, and the tests and validations of the system. The vehicle system is modeled according to the P4 Split-Parallel hybrid architecture first, and then the LKA system is developed based on the model predictive control algorithm. Afterwards, tests and simulations are conducted through the whole system, which is a combination of the vehicle model and the LKA system. The test results show that the LKA system has the ability to tracking a path with small errors, especially at low and medium speed.
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Thesis (Master's)--University of Washington, 2020
