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Research was conducted on vehicle stability control algorithm for four wheel drive (4WD) mini electric vehicle (EV) basing on vehicle dynamics model. The whole vehicle model with eight degrees of freedom was constructed using graphics modeling technology and S-function in MATLAB/Simulink, which includes 4 wheel rotation speeds, front wheel steering angle, vehicle lateral speed, longitudinal motion,...
A yaw moment control based on fuzzy logic is proposed to deal with high nonlinearity in vehicle dynamic systems. The developed controller generates the suitable additional yaw moment which is obtained from the differential longitudinal braking forces in driving wheels so that the vehicle follows the target values of the yaw rate and the sideslip angle. A two-degree-of-freedom vehicle dynamic is derived...
Cornering stability of 4 wheel drive hybrid electric vehicle has been analyzed and improved, where the front motor and the rear motors are used to drive the vehicle. For the control of the motors, a model reference sliding mode controller is designed to generate the additional yaw moment for the vehicle. The algorithms for the motor driving and the yaw rate control for the 4 wheel drive hybrid electric...
According to the problem that some key state parameters in vehicle stability control process are too difficult to directly measure, combining the strong tracking filtering theory with data fusion estimation technology, and by a 4-DOF nonlinear vehicle dynamics model, the algorithm of multi-sensor linear combination state optimization estimation based on strong tracking filter is proposed. For the...
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