{"title":"Estimation of the Maximum Tire-Road Friction Coefficient","authors":"S. Müller, M. Uchanski, K. Hedrick","doi":"10.1115/1.1636773","DOIUrl":null,"url":null,"abstract":"We develop and test a \"slip-based\" method to estimate the maximum available tire-road friction during braking. The method is based on the hypothesis that the low-slip, low-μ parts of the slip curve used during normal driving can indicate the maximum tire-road friction coefficient, μ m a x . We find support for this hypothesis in the literature and through experiments. The friction estimation algorithm uses data from short braking maneuvers with peak accelerations of 3.9 m/s 2 to classify the road surface as either dry (μ m a x 1) or lubricated (μ m a x 0.6). Significant measurement noise makes it difficult to detect the subtle effect being measured, leading to a misclassification rate of 20%.","PeriodicalId":54846,"journal":{"name":"Journal of Dynamic Systems Measurement and Control-Transactions of the Asme","volume":"39 1","pages":"607-617"},"PeriodicalIF":1.7000,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"266","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Dynamic Systems Measurement and Control-Transactions of the Asme","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1115/1.1636773","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 266
Abstract
We develop and test a "slip-based" method to estimate the maximum available tire-road friction during braking. The method is based on the hypothesis that the low-slip, low-μ parts of the slip curve used during normal driving can indicate the maximum tire-road friction coefficient, μ m a x . We find support for this hypothesis in the literature and through experiments. The friction estimation algorithm uses data from short braking maneuvers with peak accelerations of 3.9 m/s 2 to classify the road surface as either dry (μ m a x 1) or lubricated (μ m a x 0.6). Significant measurement noise makes it difficult to detect the subtle effect being measured, leading to a misclassification rate of 20%.
我们开发并测试了一种“基于滑移”的方法来估计制动过程中最大可用的轮胎-道路摩擦。该方法基于这样的假设，即正常驾驶时使用的低滑移、低μ部分的滑移曲线可以表示最大的轮胎-路面摩擦系数μ max。我们在文献和实验中发现了对这一假设的支持。摩擦估计算法使用峰值加速度为3.9 m/s 2的短时间制动机动数据，将路面分类为干路面(μ ma x 1)或润滑路面(μ ma x 0.6)。显著的测量噪声使被测量的细微效果难以检测，导致误分类率达20%。
期刊介绍：
The Journal of Dynamic Systems, Measurement, and Control publishes theoretical and applied original papers in the traditional areas implied by its name, as well as papers in interdisciplinary areas. Theoretical papers should present new theoretical developments and knowledge for controls of dynamical systems together with clear engineering motivation for the new theory. New theory or results that are only of mathematical interest without a clear engineering motivation or have a cursory relevance only are discouraged. "Application" is understood to include modeling, simulation of realistic systems, and corroboration of theory with emphasis on demonstrated practicality.
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