节点文献
汽车空调单体风门运行工况瞬态声品质灰色预测模型
Grey Prediction Model for Transient Sound Quality of Automobile Air Conditioning Unit Damper under Operating Conditions
【摘要】 为保证安装在车辆上的汽车空调能够满足整车声品质要求,汽车空调生产企业需在产品出厂前对空调单体进行声品质评价。对空调单体风门运行工况瞬态声品质评价问题进行研究。在半消声室采集空调单体风门运行工况噪声数据,针对瞬态工况增加“突出率”声品质客观参数,采用分组成对比较法对声品质进行主观评价,并基于灰色理论研究声品质客观参数与主观评价之间的关联关系,进而建立声品质灰色预测GM(1,N)模型。且通过该型号空调噪声采集样本进行验证,结果表明灰色预测GM(1,N)模型对声品质主观评价预测值的平均相对误差在10%以内,满足工程实践要求,可用于空调单体风门运行工况瞬态声品质的评价。
【Abstract】 In order to ensure that the automobile air conditioner installed in the vehicle can meet the requirements of the sound quality of the whole vehicle, the manufacturer of automobile air conditioner needs to evaluate the sound quality of the air conditioner unit before the product leaves the factory. In this paper, the author studied the evaluation of the transient sound quality of air conditioning single damper under operating conditions. In the semi-anechoic chamber, the noise data in the operating conditions of the air-conditioning single damper is collected, and the objective parameters of the "Prominence Rate" sound quality are added for the transient working conditions. The grouping and pairing comparison methods are used to subjectively evaluate the sound quality. Based on the gray prediction GM(1, N) theory of sound quality, the relationship between the objective parameters and subjective evaluation of the sound quality is established. Based on the relationship, the gray prediction GM(1, N) model of the sound quality is established. Moreover, the verification of the noise collection samples of this type of air conditioner shows that the average relative error of the gray prediction GM(1, N) model to the subjective evaluation value of sound quality is within 10 %, which meets the requirements of practice and can be used for evaluating the transient sound quality of air conditioning single damper under operation conditions.
【Key words】 acoustics; air conditioning sound quality; air door operation; objective evaluation; subjective evaluation; grey prediction model;
- 【文献出处】 噪声与振动控制 ,Noise and Vibration Control , 编辑部邮箱 ,2022年06期
- 【分类号】U463.851
- 【下载频次】46