| 注册
首页|期刊导航|燕山大学学报|基于智能轮胎的轮胎状态估计与路面状态感知研究进展

基于智能轮胎的轮胎状态估计与路面状态感知研究进展

谢宪毅 金立生 杨世春 曹耀光 杨浩 郭柏苍

燕山大学学报2025,Vol.49Issue(3):189-206,218,19.
燕山大学学报2025,Vol.49Issue(3):189-206,218,19.DOI:10.3969/j.issn.1007-791X.2025.03.001

基于智能轮胎的轮胎状态估计与路面状态感知研究进展

Research progress of intelligent tire technology for tire condition estimation and road surface sensing

谢宪毅 1金立生 1杨世春 2曹耀光 2杨浩 1郭柏苍1

作者信息

  • 1. 燕山大学 车辆与能源学院,河北 秦皇岛 066004
  • 2. 北京航空航天大学 交通科学与工程学院,北京 100191||北京航空航天大学 车路一体智能交通全国重点实验室,北京 100191
  • 折叠

摘要

Abstract

In recent years,advancements in sensor technology and continuous innovations in artificial intelligence have driven the development of intelligent tire technology.Intelligent tires collect multi-parameter perception data on the contact state between the tire and the road surface.This data supports tire condition estimation and road surface sensing,contributing to vehicle performance improvements.The three configurations of intelligent tires and their associated sensors are first introduced.The characteristics and advantages of each configuration are analyzed.Then,research progress in tire condition estimation and road surface sensing is discussed,highlighting the essential role of machine learning in intelligent tire development.Finally,key issues,technical challenges,and future trends in intelligent tire technology are examined.

关键词

车辆工程/智能轮胎/人工智能/多源传感器/状态估计

Key words

automotive engineering/intelligent tire/artificial intelligence/multi-source sensors/state estimation

分类

化学化工

引用本文复制引用

谢宪毅,金立生,杨世春,曹耀光,杨浩,郭柏苍..基于智能轮胎的轮胎状态估计与路面状态感知研究进展[J].燕山大学学报,2025,49(3):189-206,218,19.

基金项目

国家重点研发计划资助项目(2022YFB3206603) (2022YFB3206603)

燕山大学学报

OA北大核心

1007-791X

访问量0
|
下载量0
段落导航相关论文