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Electrified drive trains for tractors are supposed to realize great potential of raising performance in heavy operations via optimal traction control. The paper proposes to apply an adaptive unscented Kaiman filter (UKF) with a fuzzy supervisor for identification of electrical drive train tractor dynamics. The key advantage of electrical drive trains lies in feedback of drive torque which plays crucial...
The growing demands for high level of energy efficiency have given much new impetus to the development of electric vehicle in Agricultural Machines. To improve the performance of the state observer for an 8-DOF four-wheel vehicle, a state observer based on the Extended Kalman Filter is proposed. With the observer, the tire-road forces and the vehicle roll velocity are estimated accurately according...
The paper sets up a vehicle dynamic model which is used to determine rollover risk of heavy tractor-semitrailer under various driving conditions; therefore it can help the driver to react accordingly. Using this real-time dynamic model, the predictive time to rollover (PTR), which is decided by load transfer ratio (LTR) of trailer axle when it reaches its limit value, can be determined as the rollover...
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