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基于BP神经网络的四轮胎压监测算法研究
引用本文:彭加耕,董倩倩,张宇,肖园,王振. 基于BP神经网络的四轮胎压监测算法研究[J]. 现代制造工程, 2021, 0(2): 43-48,65. DOI: 10.16731/j.cnki.1671-3133.2021.02.007
作者姓名:彭加耕  董倩倩  张宇  肖园  王振
作者单位:燕山大学车辆与能源学院,秦皇岛066004;苏州绿安汽车科技有限公司,苏州215200
基金项目:国家重点研发计划项目;燕山大学基础研究专项课题理工A类项目
摘    要:4个车轮同时缺气时,传统滚动半径法很难监测出轮胎压力值,导致误报率较高.为解决该问题,提出了一种基于BP神经网络的间接式四轮胎压缺气监测方法,通过采集轮速脉冲数对BP神经网络进行训练,实现对4个车轮同时缺气时的胎压识别.实验结果表明:训练后的BP神经网络可以有效识别4个车轮同时缺气时的压力值,误报基本消除,该方法为4个...

关 键 词:四轮缺气  胎压监测  BP神经网络

Study on the algorithm of four-wheel tire pressure monitoring based on BP neural network
PENG Jiageng,DONG Qianqian,ZHANG Yu,XIAO Yuan,WANG Zhen. Study on the algorithm of four-wheel tire pressure monitoring based on BP neural network[J]. Modern Manufacturing Engineering, 2021, 0(2): 43-48,65. DOI: 10.16731/j.cnki.1671-3133.2021.02.007
Authors:PENG Jiageng  DONG Qianqian  ZHANG Yu  XIAO Yuan  WANG Zhen
Affiliation:(Department of Vehicle and Energy,Yanshan University,Qinhuangdao 066004,China;Suzhou Lü’an Automobile Technology Co.,Ltd.,Suzhou 215200,China)
Abstract:When four wheels are short of air at the same time,the traditional rolling radius method is difficult to detect the tire pressure value and has a high false alarm rate.In order to solve this problem,it proposed an indirect four-wheel tire pressure and lack of air monitoring method based on BP neural network,by collecting the number of wheel speed pulses,the BP neural network was trained to realize tire pressure identification when four wheels were short of air at the same time.Experimental results showed that the trained BP neural network can effectively identify the pressure value when four wheels were short of air at the same time,and the false alarm was basically eliminated,this method provided a new direction for tire pressure monitoring research when four wheels were short of air at the same time.
Keywords:four-wheel deficency  tire pressure monitoring  BP neural network
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