激光辐照下光电电池的极限能量转化效率研究

采用激光输能技术解决临近空间飞行器的能源供给问题的研究正在广泛开展。为研究激光辐照下的光电电池的极限性能,基于细致平衡理论,分析了激光辐照条件下光电材料禁带宽度与最佳激光波长的关系,得到了光电电池各类输出性能参数的计算方法。通过计算,得到了激光波长、激光功率密度和电池温度对能量转化效率等参数的影响规律。结果表明对于特定材料的光电电池存在最佳的激光波长使其获得极限能量转化效率;激光功率密度的增加可以提高光电电池的能量转化效率,但达到一定数值后提高不再明显;对于电池温度的影响,不同的输出性能参数具有不同的温度系数。     

基于车头灯对的夜间车辆检测

基于车头灯对的夜间车辆检测是智能视频监控系统的一个关键技术.夜间车辆检测的难点在于光照条件差的情况下有效信息提取困难,而夜间亮度条件差却又使得车头灯部件形成明显的亮块,因此夜间车辆检测算法中可选取车头灯对作为车辆目标的部件特征.通过获取到视频图像的逆投影图,以及逆投影图中车头灯亮块的几何形状特征,与现实中车辆车头灯几何特征一致,并利用几何特征完成夜间车辆车头灯部件的检测,最终给出车辆检测结果.     

浅析超级电容器在新能源汽车中的应用

本文针对能源危机问题,从节能环保的角度阐述了超级电容器发展历史、基本原理、性能特点,重点论述了其在新能源汽车领域的应用情况,为储能技术的发展和应用,起到了参考和借鉴作用。     

基于扩展卡尔曼滤波算法的无人机定位

无人机的移动定位是应对无人机机动性和应用环境复杂性的关键技术.为解决无人机中的全球定位系统(GPS)信号失效问题,提出了一种通过机载无线射频的接收信号强度解决定位问题的技术,分别采用扩展卡尔曼滤波方法估计距离和最小二乘方法估计路径损耗因子两种处理方法.理论分析和实验测试结果证实所提算法对有色噪声干扰下的接收信号有较好的增强效果,基于80％的置信水平,新算法相对于白噪声模型将估算误差从9.5 m减少到了4 m,还进一步提供了融合惯性导航的算法.     

基于混合遗传算法的协同制造系统调度研究

模型。提出一种改进的混合遗传算法,在标准遗传算法的基础上引入模拟退火算法的Boltzmann生存机制,加快了算法收敛速度,克服了遗传算法过早收敛的缺陷,同时对算法的变异、交叉算子和更新机制进行了改进。仿真实验表明,改进的混合遗传算法能有效优化作业顺序和AGV行走路径,为具有AGV约束的柔性生产调度提供一种有效的实践途径。     

Collecting floating car data with smartphones: results from a field trial in Austria

Abstract

This work reports on results from a field trial regarding the collection of floating car data with smartphones in Austria. The field trial has been conducted within Austria’s National Floating Car Data Testbed pursuing the goal to test different aspects of floating car data technology for traffic data collection, traffic state estimation and traffic prediction. The test bed collects, processes and analyses FCD from several thousand vehicles. The field trial for smartphone-based data collection has been conducted within the Federal State of Salzburg covering 1500 kilometres of major road network. Between the launch of the Android-based smartphone application in March 2014 and the end of the field trial in February 2015, the application has been downloaded by more than 2100 users. One year after launch the app is still installed on 650 devices and attracts around 15 users daily. The work gives insights into the application’s concepts and discusses app usage statistics, usage patterns and user feedback in the context of community-driven traffic data collection. On the one hand, results from the field trial confirm that community-driven traffic data collection is still not a phenomenon of the masses due to various challenges discussed throughout the work. On the other hand, results contribute to a deeper understanding of community-driven data collection in the traffic domain and help to learn for future trials.     

采用新型高摆率电路的电动汽车驱动控制器设计

为降低电动汽车驱动控制器的成本和功耗,提出了一种采用高摆率运算放大器的嵌入式数字驱动控制器。该高摆率运算放大器包括一种新型压摆率提升电路,以便提升负载。驱动控制器总体结构包括8051单片机、嵌入式FLASH存储器、定制的DSP协同处理器、电阻式DAC、电源管理单元（PMU）以及模拟缓冲器。采用0.18 μm CMOS工艺实现了整个驱动控制器集成电路。实验测量结果显示,相比其他类似结构,尽管提出的运算放大器的上升时间和下降时间仅为几μs,却能够驱动负载1000pF的功率晶体管,并且功耗更低仅为0.38mW,压摆率为0.22 V/?s,能够满足汽车应用的严苛要求（环境温度范围为-40℃~160℃）,并且静电放电 (ESD)特性为±4 kV。     

High Speed Aircraft Robust Fuzzy Controller Design Based on H∞ Performance

The dynamics of the high-speed vehicle (HSV) is partially or completely unknown because of various reasons, such as modeling errors, in-flight failure, and external disturbances. In this paper, a global stability robust fuzzy controller is designed to control the flight F-16 with uncertain perturbation. For the desired H output-feedback controllers, a necessary and sufficient condition of quadratic stability is derived with the well-established results of the Lyapunov stability theory and nonnegative matrix. The controllers not only guarantee the global asymptotically stability of the resultant closed-loop system with external disturbance and parameter perturbation, but also have a desired H performance in a large flight envelop (LFE).     

Automatic calibration process for optimal control of clutch engagement during launch

Launching a vehicle is related to changing acceleration. High acceleration is desired for sporty driving behavior, however, jerk as change of acceleration and change of jerk are major sources of discomfort. Modern double-clutch transmissions allow to shape the acceleration transition by controlling the torque transmitted by the clutch, which is why the question arises about an optimal transition law for the acceleration and optimal calibration of automatic transmissions. A bi-criterion optimization problem is formulated to account for both sportiness and comfort, where the latter criterion is defined as deviation from an ideal acceleration transition. For finding such an optimal transition, another tri-criterion optimization problem is set up and solved analytically. The calibration of the transmission TCU is then performed in a SIL (Software-in-the-Loop) environment where results demonstrate the validity of the proposed approach.