中文摘要：

从整车动力性、传动系耐久性和舒适性三个方面确定了搭载AMT的混合动力汽车模式切换与换挡品质的评价指标。基于遗传算法优化BP神经网络的方法，建立了模式切换与换挡品质的客观评价模型。将客观评价模型的预测结果与主观评价的结果进行对比分析，并分析了各个评价指标对客观评价模型的影响。结果表明，混合动力汽车模式切换与AMT换挡品质评价指标选择合理，所建立的评价模型与主观评价方法具有较好的一致性，能客观有效地评价混合动力汽车模式切换与AMT换挡品质。

英文摘要：

A set of evaluation indices for the mode switching and AMT shift quality of hybrid electric vehicle is established from the aspects of drivability, durability of transmission system and ride comfort. The method of genetic algorithm to optimize back propagation neural network is adopted to establish the objective evaluation model for mode switching and AMT shift quality. Comparative analysis of the predicting results of objective evaluation model and subjective evaluation is carried out, and each evaluation index to the influence of the objective evaluation model is also analyzed. The results show that the evaluation index is selected reasonably. The objective evaluation model have good consistency with subjective evaluation, Which can objectively and effectively evaluate the mode switching and AMT shift quality for hybrid electric vehicle.