分布式驱动电动汽车自适应巡航控制策略研究OA北大核心CSTPCD

Taking distributed driven vehicle as research object,aiming at the adaptive cruise problem of multi-objective coordination,the nonlinear variable time headway model was applied to design the spacing compensation strategy for the rampway and curve road conditions,which improved the accuracy of the distance signal of the actual workspace.The adaptive cruise control(ACC)system based on model predictive control(MPC)algorithm and layered control was designed considering vehicle safety,comfort and energy saving.The variable step size discretization method is used to improve ACC system multi-objective cooperative upper controller,enhancing the accuracy and real-time performance of system.In the lower controller,the inverse drive system model,the inverse brake system model,and the brake switch/drive logic were established,and the expected torque distribution strategy was designed to optimize the overall driving efficiency of the vehicle.The simulation environment was built in CarSim/Simulink to verify the effectiveness of the designed strategy.