换档品质评价方法的研究是应现代车辆自动变速技术发展需要而提出的前沿研究课

题,其评价过程可视为一个非线性动态系统。BP 神经网络的非线性系统辨识 ,能够逼近任意

一个非线性函数。通过确定换档品质评定指标 ,利用BP网络训练获得的数据样本 ,从而建立

主观、 客观评价标准之间的联系 利用 Mat lab/ Simulink 完成换档品质评价方法的客观描述并

进行仿真。通过与实验结果对比 ,证明这种方法能够有效真实地评价换档品质并与传统主观

评价方法具有很好的一致性。-Shift quality evaluation method of research is to be a modern automatic transmission vehicle technology development needs and proposed course of cutting-edge research

Questions, the evaluation process can be regarded as a nonlinear dynamic system. BP neural network nonlinear system identification, can approximate any

A nonlinear function. Assessed by determining the shift quality indicators, using data obtained from BP network training sample in order to establish

Subjective and objective evaluation criteria linkages　using Mat lab/Simulink complete shift quality and objective descr iption of evaluation methods

The simulation. Compared with the experimental results show that this method can effectively evaluate the true quality and the traditional subjective shift

Evaluation method has a good consistency.