首页> 外文期刊>Intelligent Transportation Systems Magazine, IEEE >Intelligent Tires?A Review of Tire Characterization Literature
【24h】

Intelligent Tires?A Review of Tire Characterization Literature

机译:智能轮胎?轮胎表征文献综述

获取原文
获取原文并翻译 | 示例
           

摘要

In this article, previous literature on the intelligent tire has been reviewed, especially focusing on the estimation of tire characteristics such as tire forces and contact patch characteristics of a loaded rolling tire. The contact patch features and the global deformation of tire are identified as the key factors for the tire force estimation. In this review article, the measurement values to characterize these estimation parameters and the corresponding sensors are investigated. The estimated tire features and associated algorithms are presented based on the type of measurements. It is revealed that numerous dynamic features including wheel forces, slippage in contact, contact length on dry and wet roads, and hydroplaning can be identified by using the intelligent tire system. From this review, the authors of this article suggest that intelligent tire can be exploited to analyze the tire characteristics themselves besides the application for the advanced vehicle control. However, for the purpose of tire characteristic analysis, the well-established physical concepts must be employed into the estimation process. This review article is expected to provide resources to researchers or developers who are interested in the advanced vehicle controls integrated with intelligent tire system, and who want to utilize the intelligent tire for the purpose of tire performance analysis as well.
机译:在本文中,已经回顾了有关智能轮胎的先前文献,特别是侧重于轮胎特性(如轮胎力和已加载的滚动轮胎的接触补丁特性)的估计。接触斑块特征和轮胎的整体变形被确定为估算轮胎力的关键因素。在这篇评论文章中,研究了表征这些估计参数和相应传感器的测量值。估计的轮胎特征和相关算法根据测量类型给出。结果表明,通过使用智能轮胎系统,可以识别出许多动态特征,包括车轮力,接触打滑,干湿路面上的接触长度以及滑水。从这篇评论中,本文的作者建议,除了在先进的车辆控制中的应用外,还可以利用智能轮胎本身来分析轮胎特性。但是,出于轮胎特性分析的目的,必须在评估过程中采用公认的物理概念。这篇评论文章有望为对与智能轮胎系统集成的高级车辆控制感兴趣的研究人员或开发人员提供资源,并且他们也希望将智能轮胎用于轮胎性能分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号