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汽车安全与节能学报 ›› 2022, Vol. 13 ›› Issue (3): 429-437.DOI: 10.3969/j.issn.1674-8484.2022.03.003

• 汽车安全 • 上一篇    下一篇

速度和载荷对频率法胎压监测系统性能的影响

夏怀成(), 韩向阳(), 胡宽答   

  1. 燕山大学 车辆与能源学院,秦皇岛 066004,中国
  • 收稿日期:2021-09-14 修回日期:2022-03-02 出版日期:2022-09-30 发布日期:2022-10-04
  • 作者简介:夏怀成(1962—),男(汉),吉林,教授。E-mail: xiahuaicheng163@sina.com
    韩向阳(1995—),男(汉),河南,硕士研究生。E-mail: 2922912958@qq.com

Influence of the speed and load on the tire-pressure monitoring- system performances by frequency method

XIA Huaicheng(), HAN Xiangyang(), HU Kuanda   

  1. School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China
  • Received:2021-09-14 Revised:2022-03-02 Online:2022-09-30 Published:2022-10-04

摘要:

为推广频率法胎压监测系统实际使用,研究了车辆速度和载荷变化对振动频率的影响。以频率法胎压监测原理为基础,设计轮速传感器信号采集电路;对轮速信号异常点和轮齿误差进行修正。通过Fourier变换和模型参数估计2种方法,在40~100 km/h速度区间,在空载(仅前排2人)、半载(4人)、满载(4人加后备箱50 kg)3种载荷状态下,计算了扭转振动频率。进行了试验测试。统计测试结果表明:自由驾驶状态4轮缺气报警时间为6~8 min,速度补偿前报警时间为12~15 min;不同载荷无误报。该方法解决了报警时间过长和误报问题,提高了胎压监测系统性能。

关键词: 汽车安全, 胎压监测, 轮速信号, 振动频率, 谱估计

Abstract:

This paper investigated the influence of vehicle speed and load changes on vibration frequency to popularize the practical application of the tire-pressure monitoring-system with a frequency method. A signal-acquisition circuit of wheel-speed sensors was designed based on the tire-pressure monitoring principle with the frequency method. The wheel-speed signal abnormal points and the gear-tooth errors were corrected. The torsional vibration frequency was calculated by the Fourier transform and by the model parameter estimation, in the speed of 40~100 km/h, under three load states including no-load (2 people in front row), half-load (4 people), and full-load (4 people plus 50 kg in trunk). The experimental tests were carried out. The statistical test results showed that the four-wheel lack of air alarm time in the free driving state was 6~8 min, and the alarm time before speed compensation was 12~15 min; there were no false alarms for different loads. The problem of too long alarm time and false alarm is solved. Therefore, this method improves the performances of tire-pressure monitoring-system.

Key words: vehicle safety, tire pressure monitoring, wheel speed signals, vibration frequency, spectrum estimation

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