报告从宏观政策环境、地方政策动态、竞争对手情报、产品与技术创新等几个方面进行了分析及评论。

报告从宏观政策环境、地方政策动态、竞争对手情报、产品与技术创新等几个方面进行了分析及评论。

报告从宏观政策环境、地方政策动态、竞争对手情报、产品与技术创新等几个方面进行了分析及评论。

报告从宏观政策环境、地方政策动态、竞争对手情报、产品与技术创新等几个方面进行了分析及评论。

The history of tires dates back to the mid-1800s, during which only rubber tires, best known as solid tires, were used. Advances in technology led to the replacement of solid tires by pneumatic tires. They were first used in automobiles by the Michelin brothers, who went on to become one of the prominent tire vendors in Europe. Over time, the tire market witnessed new breakthroughs in technology and the entry of many vendors.

                                   This report is based on in-depth qualitative and quantitative analyses of the CAD market in the automotive sector in North America.                                

There are various categories of commercial vehicles used extensively in Europe. These include LCVs, medium commercial vehicles, and heavy commercial vehicles. LCVs are those vehicles that have a GVWR of less than 3.5 tonnes and are commonly used for government and social organizations, public transportation, and the logistics industry.

In the mid-1800s, rubber tires (also known as solid tires) were most commonly used. With time and new advances, all-solid tires were replaced with pneumatic tires, which were first used in automobiles by the Michelin brothers who went on to become one of the prominent tire vendors in Europe.

本文中提出一种变逻辑门限值的车辆稳定性控制策略,并重点对动态逻辑门限值的确定方法进行了深入的研究,以改善不同工况下车辆的稳定性。由于逻辑门限值受到行驶环境和运动状态的影响,因此利用模糊推理的方法分别确定横摆角速度偏差和质心侧偏角变化率的门限值;然后利用逻辑门限PI控制方法计算出附加横摆力矩;最后在电控液压制动(EHB)系统中实现了附加横摆力矩。仿真结果表明,当车辆失稳时,所提出的控制策略能及时对车辆进行稳定校正控制,提高了车辆行驶的安全性。

在所建整车七自由度模型的基础上,深入分析了电子稳定程序(ESP)对电动助力转向系统(EPS)工作模式的影响,设计了非线性滑模控制器,并计算出整车横摆运动所需的稳定控制力参考值,运用功能分配的方法对稳定控制力进行合力动态分配,同时考虑在低附着系数路面汽车车轮自回正力矩的严重缺失,从而提出基于ESP作用的回正力矩补偿控制策略,对EPS的工作模式进行修正。硬件在环仿真和软件仿真的结果表明,提出的控制策略不仅改善了转向系统的回正性能,而且能够使车辆快速、准确地恢复到稳定行驶的状态,提高了其操纵稳定性。

A template of pre-crash scenarios is presented to depict national crash statistics and kinematic information of time-to-collision for the design of appropriate crash countermeasures based on vehicle-to-vehicle (V2V) communications. This template serves the development of functional requirements, performance specifications, test procedures, and benefits estimation for potential light-vehicle V2V safety applications. A set of ten pre-crash scenarios is suggested as a priority list to be addressed by V2V technology for light vehicles (i.e., passenger cars, vans and minivans, sport utility vehicles, and light pickup trucks with gross vehicle weight ratings of 10,000 pounds or less). This report presents the time-to-collision equations as well as the crash statistics for each of the ten priority scenarios based on data available in the General Estimates System, National Motor Vehicle Crash Causation Survey, and Event Data Recorder databases.

This research develops a path planning algorithm that autonomously controls a UAV to provide convoy overwatch. The optimization algorithm determines the best path to y through developing a cost function that minimizes the control e ort of the UAV and the deviation from a desired slant range. A heuristic-based algorithm was developed and implemented on the autopilot to approximate the optimal solution. In ight test, the UAV successfully tracked a moving ground vehicle by continually placing the UAV's loiter point directly above the ground vehicle's current location. This method was called the follow-me' mode and provided the baseline for real-world UAV convoy overwatch. The follow-me mode resulted in a cost function value that was 113 times greater than the optimal path. Through an in-depth analysis, the heuristic-based approach reduced this ratio down to only 7.5 times greater than the optimal path. The data collected shows tremendous promise for improving autonomous UAV performance through optimal control techniques.