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According to the electronic differential problems for vehicle with motorized wheels, the electronic differential control strategy based on torque control is designed through BP neural network theory, and a suitable BP network is trained with the help of Matlab toolbox. The consistency of both sides on wheel slip ratio is achieved through the differential controller. The controller contains two models. One is BP neural network model which calculates demand regulating by longitudinal speed and steering wheel angle. The other is electronic throttle distribution model which calculates the target opening degree of electronic throttle on two sides by torque regulating variable. The validity of control strategy is confirmed by simulation results, which show that the differential problem is well solved by the control strategy.

Electronic stability control system (ESC) is one of the advanced active safety technology for modern vehicles. The active yaw-moment control (AYC) is one of the most important parts of ESC to enhance vehicle active safety. The control method with combination of logic threshold and PID method is brought out. The PID parameters are generated by logic threshold method through the controller adjusting parameters. The wheel brake torque to keep vehicle stable is calculated by PD controller. The self-correcting threshold of PD control algorithm has the merit of decreasing calculation processes and increasing computation speed. The results of simulation show that the proposed algorithm can be used to control the vehicle more stably under various conditions.

Active yaw-moment control (AYC) is one of the advanced active safety technology for modern vehicles which method could enhance vehicle active safety. In this paper the control method with combination of logic threshold and PID control is brought out to improve the vehicle stability. The PID control parameters are generated by logic threshold method through the controller adjusting parameters. The wheel brake torque to keep vehicle stable is calculated by PD controller. The results of simulation show that the self-correcting logic threshold and PD control algorithm can be used to control the vehicle performance effectively.