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In this paper, we present a model predictive controller for the autonomous vehicle lane-change maneuver. Firstly, an optimal trajectory is generated by polynomial, then, utilize it as the reference trajectory of the controller. It is well known that vehicle with nonholonomic constraints can not be feedback stabilized through continuously differentiable, time-invariant control laws. One of the advantages of MPC is the ability to handle constraints in a straightforward way. Quadratic programming is used to solve a linear MPC by successive linearization of an error model of the vehicle. Due to that the vehicle dynamics model is used, in order to prevent optimal solution cannot be obtained within the prescribed time, the relaxation factor in the objective function.

In order to expand the product design and development capabilities of Electric Power Steering (EPS) system, a passenger car’s simulation model integrated with EPS system model will be made. Some analytical investigation is conducted in this paper. Through simplifying the architecture model of EPS system, the mathematical equation expressions of steering wheel and column, worm gear reducer, rack and pinion, steer-wheels, brushed DC electrical motor, and ECU assistance and compensation laws will be described. A number of tests on the EPS full system and subsystems and components will be executed. The tests’ results will be used as the input parameters of the model, and then be used for model validations. After that, the EPS system model will be created. Since the most important part of control logic strategy is the top secret of steering assembly supplier and it could’t be provided to OEM in details or not even a black-box model directly.

A design method is applied for protection load bearing body. Firstly the finite element model of the vehicle body is established. Using the topology optimization technique, the structure of the vehicle body is optimized. In details the first order modal and the stiffness of the body are both improved. Meanwhile the lightweight design of the vehicle is realized in the optimization. Based on the optimal vehicle body, the loads at the connection points of the vehicle body and chassis are obtained using the multi-body dynamics simulation technique. Making use of the loads at the connection points and the FE model, the strength of the vehicle body is analyzed. It proves that the strength of the optimal vehicle meets the requirements. This design method can be also applied for other types of vehicle bodies even other vehicle components.