TY - JOUR
T1 - An intelligent tyre system for road condition perception
AU - Yang, Shichun
AU - Wang, Rui
AU - Shi, Runwu
AU - Chen, Yuyi
AU - Lu, Jiayi
AU - Li, Zhuoyang
AU - Cao, Yaoguang
N1 - Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2023
Y1 - 2023
N2 - The perception of road conditions is of great significance for optimising the driving safety and comfort of vehicles. The intelligent tyre system is considered a reliable solution for recognizing road conditions using data collected by sensors installed in tyres and corresponding algorithms. However, the existing intelligent tyre systems usually adopt point-type measurements, limiting the ability to perceive the road conditions. In this study, based on finite element analysis, an intelligent tyre system using piezoelectric cables is designed for road condition perception. Through the finite element analysis, those locations sensitive to tyre working conditions are selected for piezoelectric cable installation. Road roughness estimation and anomaly detection algorithms are designed based on field tests. Results demonstrate that the proposed system has a good performance in road condition perception, which has a beneficial effect on the driving safety of vehicles.
AB - The perception of road conditions is of great significance for optimising the driving safety and comfort of vehicles. The intelligent tyre system is considered a reliable solution for recognizing road conditions using data collected by sensors installed in tyres and corresponding algorithms. However, the existing intelligent tyre systems usually adopt point-type measurements, limiting the ability to perceive the road conditions. In this study, based on finite element analysis, an intelligent tyre system using piezoelectric cables is designed for road condition perception. Through the finite element analysis, those locations sensitive to tyre working conditions are selected for piezoelectric cable installation. Road roughness estimation and anomaly detection algorithms are designed based on field tests. Results demonstrate that the proposed system has a good performance in road condition perception, which has a beneficial effect on the driving safety of vehicles.
KW - Road condition perception
KW - finite element analysis
KW - intelligent tyre
KW - road anomaly detection
KW - road roughness estimation
UR - https://www.scopus.com/pages/publications/85138293538
U2 - 10.1080/10298436.2022.2096882
DO - 10.1080/10298436.2022.2096882
M3 - 文章
AN - SCOPUS:85138293538
SN - 1029-8436
VL - 24
JO - International Journal of Pavement Engineering
JF - International Journal of Pavement Engineering
IS - 2
M1 - 2096882
ER -