[1]何悦波,崔国旭,刘 海,等.最大压力升高率对TGDI汽油机声品质的影响[J].内燃机学报,2021,(06):546-553.
　He Yuebo,Cui Guoxu,Liu Hai,et al.Influence of Maximum Pressure Rise Rate on Sound Quality of TGDI Engine[J].,2021,(06):546-553.
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最大压力升高率对TGDI汽油机声品质的影响
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《内燃机学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2021年06
页码:
546-553
栏目:
出版日期:
2021-11-25

文章信息/Info

Title:
Influence of Maximum Pressure Rise Rate on Sound Quality of TGDI Engine
作者:
何悦波; 崔国旭; 刘 海; 郝鹏飞; 王金刚; 陈 勇
1.河北工业大学 机械工程学院，天津300130；2.天津市新能源汽车动力传动与安全技术重点实验室，天津 300130；3.中国汽车技术研究中心有限公司，天津300300
Author(s):
He Yuebo; Cui Guoxu; Liu Hai; Hao Pengfei; Wang Jingang; Chen Yong
1.School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China;2.Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Tianjin 300130, China; 3. China Automotive Technology and Research Center, Tianjin 300300, China
关键词:
汽油机; 最大压力升高率; 声品质; 神经网络
Keywords:
gasoline engine;  maximum pressure rise rate;  sound quality;  neural network
分类号:
TK421.6
文献标志码:
A
摘要:
汽油涡轮增压缸内直喷(TGDI)汽油机在提升动力性与燃油经济性的同时增加了最大压力升高率，最大压力升高率变化会影响到整机声品质.以某1.6L TGDI汽油机为例，在半自由声场环境测试，获取了满负荷工况下转速为2000～4000 r/min、汽油机最大压力升高率为0.3～0.6 MPa/(°)CA区域内的整机辐射噪声信号.选取42个典型性噪声信号，分析了A计权声压级、响度、尖锐度、粗糙度、音调度和主观满意度随最大压力升高率的变化；运用BP神经网络方法建立起声品质预测理论模型及客观特征参数贡献度分析模型，分析客观评价参数对主观满意度的贡献度；对比最大压力升高率对声品质的影响，结合噪声调制频率云图与1/3倍频程频谱图分析了声品质变化原因，为TGDI汽油机热力学开发过程中高声品质设计与优化提供参考.
Abstract:
Abstract: The turbocharged gasoline direct injection(TGDI)engine improves power output and fuel economy while increases the maximum pressure rise rate, which affects the sound quality of the entire engine.The radiation noise signal of a 1.6 L TGDI engine was measured in the semi-free sound field environment and under operating conditions of full load and speed range of 2 000 ~4 000 r/min. The maximum pressure rise rate of the gasoline engine under the operating conditions was measured to be in a range of 0.3 to 0.6 MPa/(°) CA.42 typical noise signals were selected to analyze changes of A-weighted sound pressure level, loudness, sharpness, roughness, tonality and subjective satisfaction variation with the maximum pressure rise rate was also analyzed. The BP neural network method was applied to establish the theoretical model of sound quality prediction and the analysis model of objective characteristic parameters contribution degree. In addition, the contribution of objective evaluation parameters to subjective satisfaction was analyzed. The influence of maximum pressure rise rate on sound quality was also compared and analyzed. After these analyses, the cause of the change in the sound quality of the graph was obtained by combining noise contours of modulation frequency and 1/3 octave spectrum, which provides theoretical support for the design and optimization of high sound quality in development of the TGDI engine thermodynamics.

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更新日期/Last Update: 2021-11-25