An optimization model of UAV route planning for road segment surveillance

Unmanned aerial vehicle （UAV） was introduced to take road segment traffic surveillance. Considering the limited UAV maximum flight distance, UAV route planning problem was studied. First, a multi-objective optimization model of planning UAV route for road segment surveillance was proposed, which aimed to minimize UAV cruise distance and minimize the number of UAVs used. Then, an evolutionary algorithm based on Pareto optimality technique was proposed to solve multi-objective UAV route planning problem. At last, a UAV flight experiment was conducted to test UAV route planning effect, and a case with three scenarios was studied to analyze the impact of different road segment lengths on UAV route planning. The case results show that the optimized cruise distance and the number of UAVs used decrease by an average of 38.43% and 33.33%, respectively. Additionally, shortening or extending the length of road segments has different impacts on UAV route planning.     

Modeling electric vehicle’s following behavior and numerical tests

The micro modeling for electric vehicle and its solution were investigated. A new car-following model for electric vehicle was proposed based on the existing car-following models. The impacts of the electric vehicle＇s charging electricity were studied from the numerical perspective. The numerical results show that the electric vehicle＇s charging electricity will destroy the stability of uniform flow and produce some prominent queues and these traffic phenomena are directly related to the initial headway, the distance between two adjacent charging stations and the number of charging stations. The above results can help traffic engineer to choose the position of charging station and the electric vehicle＇s driver to adjust his/her driving behavior in the traffic system with charging station.     

某城市地铁振源系统参数影响预测

为了研究正在建设的某城市地铁振源系统,根据地铁拟采用的车型、块下胶垫和扣件等参数,建立车轨垂向耦合振动模型。计算车体、轮对和道床的垂向最大振动加速度,分析车体运行的平稳性及振源的减振效能。结果表明:该城市地铁拟采用的振源系统具有良好的减振效能;A型车车体运行平稳性优于B型车;低速时,参数的选取对振源系统的减振效能没有明显影响,随着车速的增加,减振效能呈降低趋势且不同参数间差距扩大,但当车速大于60 km/h时,减振效能趋于稳定;对减振效能的贡献,扣件最大,块下胶垫的阻尼其次,而A、B型车体和块下胶垫的刚度影响则不明显。     

边界元法在汽车室内噪声建模中的应用

为探讨汽车室内噪声建模的方法,应用边界元法描述汽车车身室内的噪声水平。首先基于Hypermesh有限元软件建立汽车车室空腔有限元模型,然后以NASTRAN的格式导入到SYSNOISE环境中构建单区域边界元计算模型。引进车内座椅吸音材料对室内声场的影响,重新构建包含座椅的汽车室内多区域边界元计算模型。通过在车身室内安置一个点声源进行激励,分别采用单一和多区域边界元法模拟车身室内声场响应,获得在频率0~1 000 Hz范围内车身室内声场的频响函数。经试验验证,通过对比分析可知多区域边界元法计算结论与试验结果较好吻合,这表明多区域法比单区域法具有更高的精度。     

基于 Stateflow 的电动汽车再生制动控制策略

针对东风EJ02电动汽车进行了再生制动控制策略研究,通过对制动动力学与制动法规的研究,结合电池充电特性与电机输出特性,提出了在保证制动稳定性和电池安全性的前提下,最大限度回收制动能量的再生制动控制策略,并在ADVISOR仿真平台上结合Matlab Stateflow对该策略进行了建模与仿真分析,进行了3种工况的台架试验,得到不同工况的续驶里程。结果表明,该控制策略在保证电池安全性的前提下充分利用了电机的制动转矩,大幅提高了制动能量的回收,增加了电动汽车的续驶里程。     

基于MPU6050的双轮平衡车控制系统设计

双轮平衡车是一个高度不稳定两轮机器人,单独使用陀螺仪或者加速度计都不能提供有效而可靠的信息来保证车体的平衡.介绍了以STC12C5A60S2单片机作为核心控制器的双轮平衡车控制系统设计方案,采用MPU6050六轴传感器采集角度和角速度信号,应用卡尔曼融合滤波方式和PID控制算法,以实现双轮平衡车的平衡和简单的直立行走.     

国内外大学车辆工程专业人才培养情况分析

国外多所大学与国内高校的专业和课程设置情况有所不同,国外车辆工程专业人才培养既注重学生综合素质培养又满足学生个体发展需求,人才培养紧密结合企业与社会需求和科学研究,课程成绩评价方式多样化,人才培养服务体系比较完善。研究国外人才培养方案能为我国高校车辆工程专业以及其他工科专业的人才培养体系的改革和创新提供借鉴。     

商用车涂装线用高固体分溶剂型涂料的开发与应用现状

针对目前大部分商用车涂装线喷涂设备老旧,工艺紧凑简陋,温湿度控制较差,施工环境对高固体分涂料的要求更高。本文介绍了商用车涂装线用高固体分涂料的开发关键点和改进方法以及在现场的喷涂应用情况,发现通过合理调整和优化配方,高固体分涂料在商用车老旧涂装线上手工或旋杯喷涂,漆膜外观和性能同样表现优异,能达到常规溶剂型涂料的应用水平。另外,高固体分涂料配合 RTO尾气焚烧装置,涂装 VOCs排放大幅降低,可以达到国家环保要求。     

基于局放重症监测技术在750kV主变缺陷检测中的应用

本文中作者介绍了一起基于局放重症监测系统在某750kV主变压器悬浮放电缺陷局放检测及定位的应用案例,并通过试验及检查,证明了局放重症监测系统对发现主变悬浮放电缺陷的及时性和准确性。     

Gaze direction based vehicle teleoperation method with omnidirectional image stabilization and automatic body rotation control

In robot teleoperation, a robot works as a physical agent at a remote site for a robot operator. There are mainly two tasks in robot teleoperation using camera images: environment recognition using visual information and robot control according to the recognition. In this paper, we propose a gaze direction based vehicle teleoperation method with an omnidirectional image stabilization and an automatic body rotation control. In the proposed method, we manage above two tasks in the same manner that are usually treated separately. This method is an intuitive vehicle teleoperation method where an operator do not need to have concern about vehicle body orientations and can absorb differences of vehicle driving mechanisms. That is, this method frees an operator from being bothered from controlling a vehicle and the operator can concentrate on where he/she intends to go. This method mainly consists of two technologies: an omnidirectional image stabilization technology and automatic body rotation control. The conducted experiments show effectiveness of the proposed method.