摘要

To achieve electronic differential function and to estimate the affecting factors of its control system for an in-wheel-motor drive electric vehicle, and with equalizing the slip rats of both drive wheels as objective, a differential control strategy is proposed based on torque control scheme and an electronic differential control system is designed by using BP neural network method. Based on vehicle dynamics theory, a 9 DOF dynamic model for an in-wheel-motor drive electric vehicle with front-wheel-steering and rear-wheel-drive is built to conduct theoretical analysis and simulation. Through the reasonable simplification and linearization of model, the linear state equations of control system and the analytical expression of wheel slip rate are derived. According to theoretical analysis, the key parameters affecting the electronic differential control performances are vehicle mass and the position of mass center, while the stimulation results show that the effect of the position of mass center on control system performance, though still relatively small, is far more than that of vehicle mass. The electronic differential control strategy proposed achieves the expected objective and the control system has sound robustness to system parameter variation.

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