GOALI: Safety-Preserved Estimation and Control of Tire/Road Interaction

该项目旨在建立一个传感器支持的建模框架，以实时预测和保护轮胎/道路相互作用的安全极限。轮胎与道路的相互作用对机动车的安全运行起着重要的作用。该项目将开发、实施和评估一个安全的轮胎/道路相互作用评估和控制方案。将追求以下三个目标：(1)启用传感器的轮胎/道路交互建模方案；(2)轮胎/道路相互作用安全极限估计与控制系统；(3)福特的技术实施和转移以及研究/教育整合。本研究的方法是基于将轮胎/道路的物理和动态摩擦模型与分布式轮胎橡胶变形传感系统相结合。基于传感器模型，将开发在线估计和控制策略，以预测轮胎/道路相互作用的安全极限，并防止车辆不安全操作。该项目的成功将通过提供新的感知机制来建模轮胎/道路相互作用，提供新的知识和方法来实时估计正常驾驶条件下轮胎/道路相互作用的安全限制，而不需要严重和不安全的机动，以及一种新的自适应控制方法来保护车辆安全，从而促进对轮胎/道路相互作用的基本理解。所产生的方法的工业实施预计将产生广泛的经济和社会影响。提出的研究的直接应用之一将是推进？智能轮胎吗?汽车工业的技术。该项目将为学生（K-12，本科和研究生水平）提供多学科培训，接触重要的工业问题和实践经验。

The objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) project is to establish a sensor-enabled modeling framework to real-time predict and preserve the safety limits of tire/road interaction. Tire/road interaction plays an important role for safe operation of motor vehicles. The project will develop, implement, and evaluate a safety-preserved tire/road interaction estimation and control scheme. The following three objectives will be pursued: (1) a sensor-enabled tire/road interaction modeling scheme; (2) a tire/road interaction safety-limit estimation and control system; and (3) technology implementation and transfer at Ford as well as research/education integration. The approach of this research is based on the integration of the physical and dynamic tire/road friction models with the distributed tire rubber deformation sensing system. Based on the sensor-enabled models, on-line estimation and control strategies will be developed to predict the safety limits of tire/road interaction and prevent vehicles from unsafe operation. The success of this project will advance fundamental understanding of tire/road interaction by providing new sensing mechanisms for modeling tire/road interaction, new knowledge and methodologies to real-time estimate the safety limits of tire/road interaction under normal driving conditions without the need of severe and unsafe maneuvers, and a new adaptive control methodology to preserve vehicle safety. Industrial implementation of the resulting methodology is expected to generate broad economic and societal impacts. One of the direct applications of the proposed research will be to advance the ?smart tire? technology in the automotive industry. The project will provide students (at the K-12, the undergraduate and graduate levels) with multidisciplinary training, exposure to important industrial problems, and practical experience.