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Abstract-Aiming at improving vehicle handling and stability performance, a model predictive control based vehicle yaw stability controller is designed via active front steering system. In this paper, the reference yaw rate is varied in each prediction horizon, which can predict the driver's intention. And the steering system constraint is also taken into account. The proposed MPC controller is verified on a Carsim simulation platform under the sinusoidal input test maneuver. Simulation results show the benefits of the control methodology used.

Abstract-A new composite braking control strategy is proposed for a rear-wheel-drive electric vehicle (EV) with both a regenerative braking system and a hydraulic braking system to achieve improved braking performance and optimal energy regeneration. Based on the model predictive control (MPC), the proposed braking control strategy maintains the slip ratio within an optimal range by adjusting the braking torque continuously, besides, to recover optimal braking energy, a braking torque allocation strategy of maximum regeneration efficiency is designed. With the control strategy, the regenerative braking system and the hydraulic braking system work synchronously to assure high regenerative efficiency and good braking performance. The proposed braking control strategy is steady and effective, as demonstrated by the simulation.Keywords-composite braking; slip ratio; electric vehicle (EV); model predictive control (MPC); regenerative braking.

Abstract-Electric power steering (EPS) system can not only provide steering power and lighten the burden of the driver's manipulation, but also improve vehicle steering performance and driving comfort, thus improving vehicle active safety. However, in the process of EPS system development, the determination of EPS assistance characteristics curve mainly depends on the driver's subjective evaluation, which needs more time in real vehicle debugging and calibration. In this paper, a novel design method of EPS assistance characteristics curve is proposed. Firstly, the relationship between EPS assistance torque and the driver's steering torque is determined based on the steering wheel torque characteristics of passenger cars; Secondly, a speed interval division method of EPS assistance map is put forward based on the static lateral acceleration gain; Finally, a threedimensional map that electric control unit demands is drawn and its effect is verified through the real vehicle test.

Abstract-Vehicle sideslip angle is a significant parameter for vehicle stability control. Based on the 2-DOF vehicle dynamic model, a feedback observer is built with the correction item. The estimation accuracy of the sideslip angle is improved by adjusting the feedback gain of the feedback term in the feedback observer. At the same time, the computational burden is reduced by using the three-map of tire lateral force based on the magic formula (MF) model. The simulation results show that the feedback gain plays an important role in improving accuracy of sideslip angle estimation. The estimation method can be applied to the vehicle stability control system.