随动转向的分析与综合方法研究

基于侧偏柔度的随动转向研究,从四轮转向力反馈控制的角度对随动转向的稳定性和鲁棒性进行了研究,提出一种随动转向非线性弹性特性的综合方法。     

废旧锌锰电池中锰的回收方法研究

比较了国内废旧锌锰电池中锰的回收处理技术,给出了各种回收处理技术的优缺点;在此基础上提出了以草酸为还原剂,还原废旧锌锰电池中锰的化合物从而回收废旧锌锰电池中锰的新技术.研究结果表明:新技术既能减少废电池对环境的污染,又能实现废电池的资源化利用,金属锰的回收率可迭96%以上.     

四驱混联电动汽车的燃油经济性优化

从等效燃油量出发,建立了四驱混联电动汽车在充/放电模式下的等效模型。控制发动机工作在最经济区域,以等效燃油消耗率为优化目标函数,寻求出整车燃油消耗量最低的理想操作线。通过仿真和台架试验得到燃油经济性优化结果,结果表明理想操作线决定了发动机和各个电机的最佳控制值,可使车辆系统的效率最高,油耗最低。     

考虑OCIMF(MEG4)要求的系泊设计

根据海事论坛发布的最新版本的系泊设备指南,综合某油船的系泊布置要求,以及进行指南中的相关章节,特别是新增内容的规定,对各个位置的系泊设备及附件进行调整,最终得到满足相关要求的系泊布置.     

锰酸锂动力电池寿命测试方法

以北京奥运会用锰酸锂电池为对象,通过电池的实际运行环境和电池容量衰退多种影响因素的分析,从充放电倍率应力、温度应力和放电深度应力3方面进行与实际运行环境等效的应力条件下的电池寿命测试。利用拟合的衰退数据得到了锂离子动力电池的寿命模型参数,利用线性累积法简化了电池容量衰退模型,提出了一种面向不同实际应用场合的电池寿命测试方法。与模拟混合四季温度的电池寿命数据对比验证了该简化模型的有效性,它有效缩短了电池寿命测试周期。     

4H-SiC MOSFET静态温度特性的仿真分析

SiC材料具有较大的禁带宽度、高临界电场、高载流子饱和漂移速度和高热导率等优良特性,能广泛应用在高温、高压、大功率等领域。为探究温度对4H-SiC MOSFET静态特性的影响规律,以指导高温高压环境下4H-SiC MOSFET的设计与制造,文章基于Silvaco平台对高压4H-SiC MOSFET器件进行了仿真建模,获得了其不同温度下的击穿电压、转移特性和输出特性,探究了温度对其击穿电压、阈值电压、饱和漏电流、导通电阻的影响规律。文章最终得到了300 K时击穿电压为4450 V的SiC MOSFET器件元胞结构模型,验证了其静态特性及参数受温度影响较明显,该影响规律符合SiC MOSFET的静态特性理论。     

Development and implementation of a torque vectoring algorithm for an innovative 4WD driveline for a high-performance vehicle

The sporting spirit that characterises a high-performance car can be observed in certain technical solutions. The power distribution on the rear wheels is the simplest example of that. It is well known that rear-wheel drive (RWD) vehicles are more fun to drive and faster in their reactions. Unfortunately, they are also less intuitive and harder to control because of their natural oversteering behaviour. The idea of maintaining an RWD driveline in the future is not farseeing, because it would imply an excessive tyre dimension increasing to let the driver use all engine power in many cornering and low-friction conditions. The choice of adopting a part-time all-wheel drive (AWD) driveline comes from the will of enhancing the overall performance by using all the available friction every time that it is needed. It has to be kept into account that a normally aspirated motor of a sport car can supply 500–600 Hp nowadays, and that it will supply 700–800 Hp in the very near future. However, the proposed driveline has not to worsen the weight characteristics (mass and load distribution) that make an RWD vehicle better than other cars. Because of all these considerations and constraints, a new driveline system has been designed. It derives from an RWD driveline with a semi-active differential, to which has been added a controlled wet clutch that directly connects the engine to the front differential. This device allows the drive torque to be distributed between the two axles. It can be understood that in such a device, the torque distribution does not depend only on the central clutch action, but also on the engaged gear. Because of this particular layout, this system can not work in the whole gear range because of thermal problems due to kinematical reasons. So the centre clutch controller has to consider the gear position too. The control algorithms development was carried out using a vehicle model, which can precisely simulate the handling response, the powertrain dynamic, and the actuation system behaviour. Such a modelling precision required the development of a customised powertrain model library in Matlab/Simulink.     

基于极大代数的多航空器无冲突4D航迹生成

航空器在同高度汇聚飞行时总会存在飞行冲突,文中根据极大代数法的思想,将航空器到达交叉点离散的过程线性化,并且针对同一终端区航空器离场向同一导航点汇聚的实际航路结构,给出了问题的具体描述,建立了具体的终端区单航路极大代数服务模型,并将其推广到通用情况下.在单航路模型基础上根据极大代数思想设计了终端区航路汇聚模型,解决了同高度航空器汇聚的冲突问题,可以将2条线型航线在交叉点的冲突规避,实现4D航迹的无冲突预测.对模型进行了算例验证,结果表明,极大代数能够较好的解决航空器航迹冲突的问题,实现航空器到关键点的无冲突放行,从而一定程度上提高了空域资源的利用率.     

奥迪A4轿车太阳能天窗工作原理与检修

在一些高档轿车上已经开始应用了汽车太阳能天窗技术。本文主要阐述奥迪A4轿车太阳能天窗的构成、电路原理图、工作原理、检修方法及太阳能天窗的功用。     

Adaptive prediction of flight time uncertainty for ground-based 4D trajectory management

An adaptive prediction model of level flight time uncertainty is derived as a function of flight and meteorological conditions, and its effectiveness for ground-based 4D trajectory management is discussed. Flight time uncertainty inevitably increases because of fluctuations in meteorological conditions, even though the Mach number, flight altitude and direction are controlled constant. Actual flight data collected using the secondary surveillance radar Mode S and numerical weather forecasts are processed to obtain a large collection of flight time error and flight and meteorological conditions. Through the law of uncertainty propagation, an adaptive prediction model of flight time uncertainty is derived as a function of the Mach number, flight distance, wind, and temperature. The coefficients of the adaptive prediction model is determined through cluster analysis and linear regression analysis. It is clearly demonstrated that the proposed adaptive prediction model can estimate the flight time uncertainty without underestimation or overestimation, even under moderate or severe weather conditions. The proposed adaptive prediction is able to improve both safety and efficiency of 4D trajectory management simultaneously.