W. Chang, Rong-Terng Juang, Min-Hsiang Huang, M. Sung
{"title":"Implementation of Tire Status Estimation Using Hall Sensor and G-Sensor","authors":"W. Chang, Rong-Terng Juang, Min-Hsiang Huang, M. Sung","doi":"10.1109/SNPD51163.2021.9704975","DOIUrl":null,"url":null,"abstract":"Vehicles are one kind of human’s transport tools that can carry us to anywhere. Safety is an important issue for vehicle applications. Tire is an important element of the vehicle, because the vehicle only has four points connect on the road through tires. Many accidents are caused the tire problems. There are more and more researches in intelligent tire base on safety issues. Tire pressure monitor system (TPMS) can be called an application of intelligent tires that are currently a very popular tire monitoring device, it provides pressure and temperature information for drivers. The information can let drivers understand their tire’s status through simple information. Not only pressure and temperature can affect safety, but also tire’s use mileage. The tire wear has some relation to safety. The mileage has been defined by tire spec. The different tires have different specs and the tire wear status cannot be defined clearly. The wear status is hard to get that is because the vehicle condition, use scenario and situation are complicated. Drivers can’t understand how many miles did the tire use and what status the tire. This paper proposed a method to estimate and monitor tire mileage and wear base on simple sensors. G-sensor and hall sensors are common sensors in applications. The method will use these simple sensors to implement the method. Drivers can accord information to evaluate the tire status and decide the timing to replace the tire. It can help drivers to increase safety during the drive and provide a solution to support intelligent tire function.","PeriodicalId":235370,"journal":{"name":"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD51163.2021.9704975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Vehicles are one kind of human’s transport tools that can carry us to anywhere. Safety is an important issue for vehicle applications. Tire is an important element of the vehicle, because the vehicle only has four points connect on the road through tires. Many accidents are caused the tire problems. There are more and more researches in intelligent tire base on safety issues. Tire pressure monitor system (TPMS) can be called an application of intelligent tires that are currently a very popular tire monitoring device, it provides pressure and temperature information for drivers. The information can let drivers understand their tire’s status through simple information. Not only pressure and temperature can affect safety, but also tire’s use mileage. The tire wear has some relation to safety. The mileage has been defined by tire spec. The different tires have different specs and the tire wear status cannot be defined clearly. The wear status is hard to get that is because the vehicle condition, use scenario and situation are complicated. Drivers can’t understand how many miles did the tire use and what status the tire. This paper proposed a method to estimate and monitor tire mileage and wear base on simple sensors. G-sensor and hall sensors are common sensors in applications. The method will use these simple sensors to implement the method. Drivers can accord information to evaluate the tire status and decide the timing to replace the tire. It can help drivers to increase safety during the drive and provide a solution to support intelligent tire function.