面向复杂装备AR辅助维修的混合跟踪技术研究

装备维修是生产制造、作业运转的基础,特别是在船舶、航空等领域。由于在维修过程中装备结构复杂、维修人员经验技术不足和缺少直观维修手段导致容易导致维修效率低下和操作出错。因此,通过研究基于增强现实的装备维修方案,直观交互地进行维修作业,能够有效地提升维修的质量和效率。由于装备体型较大,结构复杂,给跟踪定位带来了新的困难,针对实际的工程需求,创新性地将主流方法进行结合,提出了多Marker和ORB-SLAM混合跟踪的方法。通过二次调整多Marker定位结果的动态权值,提高局部定位维修的精度和可靠性。分析比较现有的特征点算法,选择ORB-SLAM作为方案,实现全局的定位和导航,对维修过程给以指导,并设计开发装备诱导维修系统,为大型复杂设备地维修提供了通用解决方案。     

基于多比例谐振的混合APF谐波补偿研究

针对变频器在船舶上的大量使用而导致谐波污染问题,提出一种基于多比例谐振的混合有源滤波器谐波补偿策略。混合有源滤波器由LC无源滤波器和有源滤波器构成,并结合多比例谐振组成谐波补偿控制策略。该控制策略由电网谐波检测、谐波补偿和谐波电流跟踪组成。其中谐波补偿采用检测电网电流的方式,保证治理谐波的同时,抑制LC滤波器可能发生的谐振;谐波跟踪采用多比例谐振控制器,利用其在不同特定频率高阻抗的特点,准确跟踪不规则的谐波电流,提高控制系统的精度。最后,仿真结果验证了所提控制策略可有效抑制船舶电网谐波,提高设备用电的安全性。     

多轴混合动力特种车辆空气动力学特性分析与改进设计

建立某多轴混合动力特种车辆整车外流场仿真模型,采用计算流体力学方法分析整车外流场特性。根据分析结果对驾驶室进气格栅、驾驶室与货箱之间的上部连接、驾驶室下部进风口三个部位进行优化设计。在优化设计过程中,特别关注提升各车桥分布式驱动电机的散热效果,并根据局部外流场特性确定车桥处的电机风扇朝向布置。结果表明,优化后的整车风阻系数降低了6.4%,各车桥均可通过底盘底部的气流分支进行良好冷却,确保满足驱动电机的散热需求。     

48 V汽车发动机起停功能分析及设计研究

对48 V微混合动力汽车的动力系统构型和控制原理进行了说明,对发动机起停功能进行了分析和设计,研究了发动机起停条件、起停时序和控制策略.基于48 V量产车型对起停性能进行了试验测试,结果表明48 V汽车起机更快、更平顺.同时,针对未来智能控制技术的发展,提出并论述了基于多维度、多路况的主动预测起停功能开发方案,为相关工...     

Analysis of planetary gear hybrid powertrain system part 2: Output split system

In recent studies, various types of multi-mode electric variable transmissions for hybrid electric vehicles have been proposed. A multi-mode electric variable transmission consists of two or more different types of a planetary gear hybrid powertrain system (PGHP), which can change power flow type using clutches to improve transmission efficiency. Input split systems are generally used for the single-mode powertrain because of their overall superiority, but other power split systems such as output split and compound split systems can be used in the dual-mode powertrain. In this study, we analyze the power transmission characteristics of output split systems, and evaluate their fuel economies in the FTP72 cycle, acceleration performance, and constant vehicle speeds. These results enable the selection of appropriate systems for a dual-mode powertrain.     

基于增强型学习算法的船舶运动混合智能控制

船舶航向控制与航行的安全性、可操纵性和经济性密切相关。本文将增强型学习算法与混合智能技术相结合,应用于船舶运动航向控制,克服了通常混合智能算法的学习需要一定数量样本数据的缺陷,又有发挥各种智能算法的优势。仿真结果表明在缺少样本数据情况下,该算法可以在一定程度上改进控制效果。     

混合动力电动船舶模糊逻辑控制策略

混合动力电动船舶对于纯电动船舶具有较好的续航能力,适用于航线较长且具有随机性的船舶工况,同时对于工程作业船舶工况其可以降低柴油发电机为动力的工程作业船舶柴油机功率,减少燃油消耗与排放。本文分析了上述两种不同船舶工况特点,并针对该工况采用串联式混合动力结构作为船舶动力系统结构并根据工况需求设计了相应的模糊逻辑控制策略。运用MATLAB/Simulink搭建了系统仿真模型,仿真结果表明,所设计串联式混合动力系统及其模糊逻辑控制策略能够在上述两种船舶工况下实现控制要求。     

Cost benefit analysis of three different urban bus drive systems using real driving data

One of the CIVITAS-ELAN project measures in Ljubljana, Slovenia, was the introduction of alternative city bus propulsion systems (CNG, hydraulic hybrid buses) into the public transport and comparison of their performance in terms of costs and benefits with conventional (diesel) buses. A cost-benefit analysis was conducted to provide a model for identifying the most attractive alternative, with aim of aiding the decision making process for future rational up-scaling of the alternative propulsion technologies in PT fleet in Ljubljana. This paper focuses on presenting the key findings of this CBA, using real driving data, while demonstrating the sensitivity/variance of different parameters of a CBA, as well as the differentiation between uncertainties of parameters in an ex-ante analysis versus an ex-post analysis.     

Rapid estimation of electric vehicle acceptance using a general description of driving patterns

A reliable estimate of the potential for electrification of personal automobiles in a given region is dependent on detailed understanding of vehicle usage in that region. While broad measures of driving behavior, such as annual miles traveled or the ensemble distribution of daily travel distances are widely available, they cannot be predictors of the range needs or fuel-saving potential that influence an individual purchase decision. Studies that record details of individual vehicle usage over a sufficient time period are available for only a few regions in the US. In this paper we compare statistical characterization of four such studies (three in the US, one in Germany) and find remarkable similarities between them, and that they can be described quite accurately by properly chosen set of distributions. This commonality gives high confidence that ensemble data can be used to predict the spectrum of usage and acceptance of alternative vehicles in general. This generalized representation of vehicle usage may also be a powerful tool in estimating real-world fuel consumption and emissions.     

混合动力汽车整车控制器开发与试验

基于飞思卡尔公司的双核微控制器9S12XDT512开发了一款通用的混合动力汽车（HEV）整车控制器（VehicleControl Unit-VCU）,设计时考虑硬件的通用性,使之能够适用于多种混合动力汽车的整车控制。为验证VCU功能,本文以某款并联混合动力公交车为控制对象,在基于dSPACE的硬件在环仿真系统上进行了一系列仿真试验。试验结果表明：VCU能够准确地控制整车实现混合动力工作状态,进而验证了VCU硬件的有效性。