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2016中国汽车工程学会年会暨展览会

作者： Liu Yongjun Xu Chaonan Niu Weilong Zhang Xiuming Jia Nan Wu Jie R&D Center of Great Wall Motor Co.Ltd Automotive Engineering Technical Center of Hebei Province

Propeller shaft is one of main sources to arouse vehicle *** decrease development cost and shorten development cycle,BP Neural Network model of influence of propeller shaft to vehicle noise was established using MATLAB software,combined with historical ***,the model was trained,results showed that it was stable and credible and the error of this model was between-4 and 4,which could be ***,noise of the developing vehicle in the company was predicted using the model,offering theoretical reference to related people.

关键词： propeller shaft neural network vehicle noise prediction

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Statistical Evaluation and Regression Analysis of vehicle Sound Quality

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Transactions of Tianjin University 2006年第4期12卷 297-302页

作者：王养军舒歌群卫海桥 School of Civil Engineering Tianjin University Tianjin 300072 China State Key Laboratory of Engines Tianjin University Tianjin 300072 China State Key Laboratory of Engines Tianjin University Tianjin 300072 China

A statistical approach to evaluate the subjective perception of the annoyance caused by the vehicle noise was presented in this paper. After recording the noises of Sanfeng, Huali and Xiali at speeds of 30, 40, 50, 60, 70 and 80 km/h respectively, the annoyance of the vehicle noises was evaluated in the testing room using paired comparison method, and the sound quality metrics and subjective annoyance were then distilled. Loudness, sharpness, roughness, periodicity and impulsiveness were selected for each of the vehicle noises. By correlation analysis method, it can be found that loudness has a higher correlation （0.91） with annoyance than other parameters. Meanwhile, sharpness, periodicity, roughness and impulsiveness have correlation with subjective perception with correlation coefficients being 0.84, -0.82, 0.62 and 0.87, respectively. The result of multiple regression analysis shows that calculated annoyance obtained by the regression equation can explain the perceptual annoyance and the regressed evaluation model is feasible to evaluate the sound quality of vehicle.

关键词： vehicle noise sound quality annoyance paired comparison regression analysis

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