列车牵引制动指令冲突故障分析及改进措施

北京地铁16号线列车运行过程中发生牵引制动指令冲突故障,通过对车辆牵引制动指令的输出和读入原理的梳理,分析总结了导致牵引制动指令冲突故障发生的原因,改进了电路设计,排除了故障,消除了车辆由此设计带来的安全隐患。     

一种宽输入电压交错并联Boost软开关电路

提出一种基于交错并联Boost拓扑的宽输入交错并联Boost软开关电路.在并联Boost电路中加入辅助电感、辅助电容与辅助MOSFET,合理地控制辅助MOSFET的通断,实现2个Boost电路间电流的转换.达到Boost电路主开关的零电压开通,近似零电压关断;同时辅助MOSFET实现零电流开关,不引入额外的开关损耗.消除了二极管的反向恢复电流问题,也降低了由此带来的EMI和能量损耗问题.详细分析拓扑的工作原理和控制方法,通过仿真与实验验证了其有效性.     

轿车衣帽架钣金处声学包的优化设计

目前,汽车的NVH性能受到越来越多消费者的关注,而电动汽车的蓬勃发展也为NVH性能设计带来了新的挑战,尤其是高频噪声带来的挑战。因此,应对高频噪声的声学包的优化设计便尤为重要。文章通过对某三厢电动车进行路试评价,得到后排乘客抱怨来自衣帽架处的高频噪声的结论,进而进行了密封测试,传递函数测试以及对噪声路径进行分析优化设计。结果表明,若要降低来自衣帽架处的高频噪声,首先要密封住车内噪声传递路径上多余的孔洞,其次要减小必要的总开孔面积。最后在布置空调通风孔位置时,提出优化设计噪声路径,使噪声在吸音棉上的有效路径最长来达到优化声学包的目的。     

基于驾驶人转向意图的双电机驱动电动汽车稳定性控制策略

为了使双电机驱动电动车在车辆稳定性控制过程中能够精确解读驾驶意图，使车辆实际行驶状态与驾驶意图期望的车辆行驶状态尽可能相符合，提出一种基于驾驶人意图辨识的稳定性控制策略。利用基于支持向量机递归特征消除（SVM-RFE）得到的特征参数构建基于长短期记忆（LSTM）模型的驾驶人转向意图辨识模型；基于转向意图识别结果，以方向盘的扭矩和角速度为计算参数，利用转向急迫程度系数建立考虑驾驶人转向意图的车辆稳定性控制修正参考模型，基于滑模控制理论构建车辆稳定性控制上层控制器。以车辆轮胎工作负荷率平方和最小为优化目标，考虑轮胎附着条件、电机及制动系统性能、电机运行状态的约束条件，构建车辆稳定性控制下层控制器。最后利用基于A&D5435半实物仿真系统的双电机驱动电动汽车试验平台，在双移线工况、单移线工况下进行实车验证。研究结果表明：双移线工况下在稳定性系统的作用下横摆角速度最大值为-18.953（°）·s^-1，与无稳定性控制相比减小了39.87%，质心侧偏角最大值为4.568°，与无稳定性控制相比减小了54.08%；单移线工况下在稳定性系统的作用下横摆角速度最大值为21.76（°）·s^-1，与无稳定性控制减小了65.3%，质心侧偏角最大值为5.208°，与无稳定性控制减小了92.6%。；提出的车辆稳定性控制策略能够正常工作，有效改善了车辆的行驶稳定性。     

水力式升船机运行安全重要风险源风险分析*

水力式升船机是高坝通航建筑物的一种新形式，在国内外没有运行经验可供借鉴。为保障水力式升船机安全可靠运行，针对重要风险源风险评价的模糊性难题，通过构建水力式升船机重要风险源因子事故树，辨识水力式升船机运行风险因子及其逻辑关系，提出基于模糊理论的水力式升船机运行安全重要风险源风险分析方法。以景洪水力式升船机为例，定量分析风险因子的风险等级，对水力系统、机械系统重要风险源进行安全风险评价。结果表明，该方法能够客观地评价风险，可为水力式升船机运行风险预警和管理提供技术支撑。     

Bolster spring fault detection strategy for heavy haul wagons

An on-board health monitoring system is proposed for heavy haul wagons in this paper including a signal-based fault detection and isolation (FDI) method and an on-line fault diagnose strategy. Such a system, to be feasible on freight wagons, must be sufficiently cheap and robust, hence the design assumes the constraint of using only two accelerometers mounted on the front left and right rear part of each carbody in a heavy haul train. This paper focuses on the detection of bolster spring fault conditions. The problem is made more complex by the modes of failure which might be expected in bolster spring nests. Types of spring failure are firstly identified and discussed covering situations of broken (shortening springs) and softening (individual spring loss from a nest or cross-section loss through corrosion). The effects of these faults and their detectability were investigated using simulations on straight and curved track and using a fully detailed model of a typical 40?t axle-load heavy haul wagon. The simulation results were then examined and compared using cross-correlation analysis and an FDI system was proposed. The FDI system introduced five possible fault indicators. Initial results indicated that it was possible to detect changes in bolster stiffness of ±25%. An on-line fault diagnoses strategy is proposed for bolster spring faults which only requires data from wagon monitoring during travel around sharp curves to detect and the occurrence of confirm faults. The functionality envisaged needs only a ‘once per trip’ monitoring site, such as a sharper curve, and is aimed at condition monitoring rather than the provision of alarms or comprehensive monitoring of all events.     

车用柴油机NO_x形成及控制

相对汽油发动机污染物排放,柴油发动机CO和CH的排放较低,不到汽油机的10%,但NOX排放水平却高于汽油发动机。本文重点讨论柴油发动机排气污染物中NOx的成分及危害,分析了NO的生成机理及影响因素,提出了控制柴油机NO排放的技术和方法。     

Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network

In order to remotely monitor and maintain large-scale complex equipment in real time, China Telecom plans to create a total solution that integrates remote data collection, transmission, storage, analysis and prediction. This solution can provide manufacturers with proactive, systematic, integrated operation and maintenance service, and the data analysis and health forecasting are the most important part. This paper conducts health management for the turbine blades. Elman neural network, and improved Elman neural network, i.e., outputhidden feedback (OHF) Elman neural network are studied as the main research methods. The results verify the applicability of OHF Elman neural network.     

锌氧化银电池注液激活系统仿真模拟

利用ANSYS Fluent软件对锌氧化银一次电池注液激活系统进行模拟分析,在三种不同特性的点火器匹配注液激活系统条件下,模拟计算各个阀门能否正常开启、开启时间以及开启的顺序。分析计算得出各个阀门开启的时间,能够很好的指导注液系统设计。