在国家自然科学基金项目支持下，开展了动力学稳定性控制技术研究，提出轮胎联合滑移工况轮胎- 路面附着系数确识别方法，提出变结构扩展卡尔曼滤波器，实现了瞬态转向过程车身侧偏角识别。研制出ESC、EPB 产品与ESC 测试系统。 

Under the support of the National Natural Science Foundation of China, we have developed the research about the vehicle stability control technology, proposed tire-road friction coefficient estimation algorithm based on signal fusion method under complex maneuvering operations, and proposed a variable structure extended kalman filter to realize the estimation of vehicle side slip angle during a transient steering maneuvering process. And we have developed the products of ESC, EPB, and the ESC test system.

在国家自然科学基金项目和国际合作项目支持下，开展了轮胎动力学与优化设计研究，开发了轮胎滚动噪声仿真与花纹设计方法，提出了轮胎- 道路高频相互作用的三维理论。

Supported by NSFC and leading international tire industries, a long-term research program on tire dynamics has been successfully undertaken during past years, the methodology for tire-road rolling noise simulation and tire pattern optimization design have been developed, and 3D theory of high frequency tire-road interaction has been established.

低噪声汽车的理论方法、关键技术及工程应用：建立了基于三维随机阵列的衍射声全息方法，实现了汽车噪声源定位识别及声场可视化再现；建立了运行工况下噪声源传递路径识别方法，解决了声源贡献率快速定量识别难题；建立了系统化的低噪声

汽车正向设计方法，实现了满足整车声学目标的关键总成噪声限值分配，及吸声、消声结构的正向设计，突破了低噪声汽车设计的薄弱环节。项目成果已被国内汽车公司广泛采用，并获得2009 中国汽车工业科学技术进步奖一等奖和2010 年国家技术发明二等奖。

The moving vehicle noise sources are identified and visualized with the developed acoustic holography technique using 3D random array. The transfer characteristics analyzed method (TCA) on running conditions is proposed, and the main noise sources and their contribution rate to the whole vehicle noise level are analyzed. The design method for low noise vehicle is proposed, which includes the distribution method for noise level limitation on main vehicle assemblies, the method to design noise absorption and attenuation structures. The method and technology are widely used by automobile companies in China. Associated achievements have won a National Automotive Industry Science and Technology Progress Award in 2009 and a National Invention Award in 2010.

驾驶员身心状态及驾驶行为的分析、监控及干预理论与方法：开展了驾驶员疲劳疲劳状态的生理机制和外部表征研究，揭示了驾驶人疲劳状态迁移机理及生理表达机制，提出了基于多信息源融合的驾驶人疲劳状态识别方法；开展了驾驶员不良（含安全和节能）驾驶行为的监控和引导研究，提出了险态驾驶行为的多层任务分解策略，建立了节能驾驶操作的模型驱动式辨识构架，解决了高非线性、高随机性且大不确定性驾驶行为的定量化难题。

The state transition mechanism of driving fatigue was revealed by the study of the characteristics of physiological performance and driving maneuver in the process of driving fatigue development. The driving fatigue recognition method was proposed based on multi-source information fusion. The monitoring and guidance of abnormal driving behavior was studied, which proposed multi-layer decomposition and synthesis framework, and established model-driven identification theory for eco-driving behaviors. The study has addressed the quantification difficulty of driving behaviors with high nonlinearity, highrandomness and large uncertainties.

混杂道路交通环境的目标感知与危险辨识：发明了多特征分级融合的目标快速识别方法和最优动态跟踪的危险辨识方法，在中国复杂道路交通环境下车道线/ 车辆实时检测准确率大于98%。多目标协调式自适应巡航控制：提出了多目标协调式ACC 体系及算法，用于平衡跟踪性能、燃油经济性和驾驶员感受。相关成果获得2013 年国家技术发明二等奖。

The study proposed a fast detection method for effective targets based on the multi-feature fusion and a car-following riskidentification ethod based on Kalman filtering technique. The research has reached an accuracy of >98% for the lane markerand frontal vehicle detection in China’s complex traffic flow. The study proposed a multi-objective vehicular coordinated adaptivecruise control method for road vehicles, which can comprehensively compromise the tracking capability, fuel economy and driver desired response. The related research won the Second Prize of National Invention Award in 2013.

与北京市交管局长期合作，针对交通事故多维信息重建与特征提取方法开展了深入研究，取得了重大技术突破，联合获得了2011年国家科学技术进步二等奖。

Cooperating with Beijing Traffic Management Bureau, the in-depth researches concerning the reconstruction and characteristic collection methods on multi-dimension information of traffic accidents obtained significant technological achievements, which were awarded the second prize of the National Science and Technology Progress in 2011.