Torque coordinated control of independent driving electric vehicles base on BP neural network

Based on the analysis the driving system of motors in series, it indicated that the system simplifies the structure and realizes the effective self-action differential when the electric vehicle(EV) runs on the level road without any variety or at low velocity. When the EV runs on the variational road, especially the friction force is variant, the EV is unstable according to the character of the permanent-magnet brushless DC motors (PMBDCMs). In this paper, the structure was improved and a BP neural network PID control strategy was proposed to control the coordinated driving torque. In order to enhance the rapidity of convergence and avoid trapping in local optimization, the control system improved BP algorithm and momentum factor is adapted to effectively solve the problem. A model was built for the 2-wheel independent driving EV and when the friction force of the two power wheel is different, the simulations .. were performed and the positive results were obtained by the proposed concept. The propose system improve the EVpsilas maneuverability and stabilization.