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某混合动力汽车非稳态车内声品质评价研究
引用本文:华敏相,左言言,吴赛赛. 某混合动力汽车非稳态车内声品质评价研究[J]. 噪声与振动控制, 2017, 37(2): 95-100
作者姓名:华敏相  左言言  吴赛赛
作者单位:( 江苏大学 振动噪声研究所, 江苏 镇江 212013 )
摘    要:针对某混合动力汽车非稳态工况下的车内声品质评价进行研究。采集该车内不同位置、不同驱动模式以及不同车速情况下的车内噪声样本,对不同的非稳态工况进行客观参量分析,得出电机单独驱动模式下可以用尖锐度评价非稳态车内声品质、混合驱动与发动机单独驱动模式下可以用响度评价非稳态车内声品质的结论。基于BP神经网络模型,进行基于心理声学客观参量与临界频率带解析小波分解的非稳态车内声品质评价,预测结果表明后者的预测效果优于前者,且稳定性较高。

关 键 词:声学  声品质  主客观评价模型  神经网络  解析小波分解  非稳态  
收稿时间:2016-11-03

Study on the Evaluation of Interior Sound Quality in Non-steady State of a Hybrid-power Vehicle
wu saisai. Study on the Evaluation of Interior Sound Quality in Non-steady State of a Hybrid-power Vehicle[J]. Noise and Vibration Control, 2017, 37(2): 95-100
Authors:wu saisai
Abstract:In order to evaluate the sound quality in the non-steady state of a hybrid vehicle, interior noise samples of different positions、driving modes and vehicle speeds were collected. Then, the variation of objective parameters in different non-steady states was analyzed. The results indicate that: in motor-only driving mode, the sound sharpness is suitable to evaluate the interior sound quality of non-steady state while in hybrid driving mode and engine-only driving mode, the sound loudness is more suitable to evaluate the interior sound quality ; Furthermore, based on the BP network model, an evaluation of the interior sound quality was conducted respectively in view of objective acoustic parameters and critical frequency band analytic wavelet transform. It’s shown that the latter is better than the former, and more stable.
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