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机构地区:[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082
出 处:《计算机仿真》2017年第1期132-137,共6页Computer Simulation
基 金:湖南省工业支撑计划项目(2013GK2005);湖南省新型工业化专项(2012gk4009)
摘 要:在纯电动汽车动力性能优化问题的研究中,为提高汽车行驶的平稳性,针对传统的纯电动汽车动力模式控制方法存在动力性和操控性难以同时兼顾的缺点,提出了一种基于驾驶员意图识别的动力性能优化方法。首先由线性踏板控制策略确定电机基本输出转矩,然后设计了以根据加速踏板开度变化率修正后的车速偏差及其变化率为输人、补偿转矩为输出的模糊控制器,最后向驱动电机系统发送转矩控制指令。仿真结果表明,上述控制方法在车辆加速和减速时均能很好地辨识驾驶员的驾驶意图,且能够平稳地达到驾驶员的期望车速,提升了车辆的行驶性能。The optimal problem of power performance for pure electric vehicle is studied. Aiming at the disadvantage of the difficulty in concurrently achieving power performance and controllability existed in traditional pure electric vehicle power mode control method, an optimization method of vehicle power performance on driver intention recognition is proposed. Firstly, the motor' s basic output torque is determined by the linear pedal control strategy. Then the fuzzy controller is designed, which utilizes speed deviation and speed deviation rate modified by the accelerator pedal opening rate as the input, and the compensating torque as the output. Finally, the torque control command is sent to the motor system. The simulation results show that the above control method can well recognize driver' s intention with the vehicle speed smoothly approaching the driver' s expectation speed during acceleration and deceleration, and can improve the vehicle' s running performance.
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