混合动力客车用发动机ISG电机总成的台架测试系统

为满足混合动力客车动力系统的需要,开发一套基于CAN总线测控的台架测试系统,在台架上可实现混合动力客车用"发动机ISG"总成的工况测试。     

电动汽车技术发展趋势及前景（下）

4燃料电池电动汽车 早在1839年．英国人格罗孚就提出了氢和氧反应发电的原理。20世纪60年代,研发出了液氢和液氧发电的燃料电池．由美国UTC公司首先用于航天和军事用途。近20年来．由于石油危机和大气污染日趋严重．以质子交换膜为代表的燃料电池技术．受到世界各国普遍重视。各大汽车公司纷纷投入巨资．研发出了各种类型的燃料电池电动汽车（FCEV）．     

钢-混凝土混合拱桥接头应力传递规律研究

钢、混凝土有效结合并共同受力的可靠性特别重要,作为钢-混凝土混合拱桥的关键构造,接头设计的合理性直接决定了施工安全与使用性能。通过有限元仿真比较分析了3种钢-混凝土接头设计方案的应力分布,研究了应力在钢箱-混合接头-混凝土箱区段的传递规律。结果表明:在钢-混凝土接头中增加加劲肋数量及加大混凝土箱末端横截面积、承压板面积,可以逐级、有效地把钢箱高应力状态向混凝土箱低应力状态传递、分散,从而降低钢-混凝土接头局部区域的应力集中程度。     

并联混合动力轿车系统开发与试验匹配研究

采用基于超级电容的设计方案开发了单轴并联式混合动力轿车,对发动机、ISG电机、超级电容等零部件进行选型.研究了并联混合动力轿车动力系统的控制策略,优化匹配了发动机和电机的转矩分配,实现了混合动力节能并降低了排放.进行了混合动力系统的启动和怠速优化试验,实现了混合动力各个工况的控制参数的优化匹配,降低了启动污染物的排放,提高了燃油经济性.     

燃料电池混合动力汽车动力系统匹配与优化研究

首先,基于中国客车典型循环工况对燃料电池混合动力系统进行匹配计算,确定了电动机、燃料电池发动机和蓄电池的基本参数;然后基于中国客车典型循环工况,建立燃料电池混合动力系统的优化模型,采用序列二次规划算法进行优化,分析了各种参数对整车燃料经济性的影响,包括燃料电池发动机与动力蓄电池之间的功率分配比、SOC的初始值与目标值、变速器传动比及传动比间隔以及主减速比等,为燃料电池混合动力汽车的构型提供指导。     

串联混合动力汽车瞬时优化控制策略研究

建立了基于传动系能量均衡以电池充放电电流为控制变量的系统模型和以等效燃油消耗率最小为目标的优化数学模型。在设定参数条件下,以基于电量平衡的瞬时优化策略对两种常见行驶工况进行了整车仿真。将仿真结果与功率跟随策略的仿真结果进行比较,表明瞬时优化策略能更好地维持车辆行驶过程中电池电量平衡。     

塑性厚壁球壳分析的三维组合格式

本文由修正的增量型兀R变分泛函出发,按照杂交/泥合有限元法、粘塑性理论,采用力学子单元模型,组成了由12节,氛三维六面体过渡元为中介的8一12一20节点三维六面体杂交/况合有限元组合格式。三维厚璧球壳受均匀内压的塑性分析工作说明,采用组合格式并辅以合适数目的高斯积分点,在同等计算精度条件下,计算机开支(CPU)约可节省34%。      

PERFORMANCE ANALYSIS OF HYBRID DS SFH/SSMA SYSTEMS OVER MULTIPATH FADING CHANNELS

ＩｎｔｒｏｄｕｃｔｉｏｎＤｉｒｅｃｔｓｅｑｕｅｎｃｅｓｐｒｅａｄｓｐｅｃｔｒｕｍｍｕｌｔｉｐｌｅａｃｃｅｓｓ（ＤＳ／ＳＳＭＡ）ｓｙｓｔｅｍｃａｎｏｆｆｅｒｈｉｇｈｅｒｃａｐａｃｉｔｙｔｈａｎｆｒｅｑｕｅｎｃｙｈｏｐｐｉｎｇｓｐｒｅａｄｓｐｅｃｔｒｕｍｍｕｌｔｉ－ｐｌｅａｃｃｅｓｓ（ＦＨ／ＳＳＭＡ）ｓｙｓｔｅｍ,ｂｕｔｔｈｅｃａｐａｃｉｔｙｏｆｔｈｅｓｙｓｔｅｍｄｅｐｅｎｄｓｇｒｅａｔｌｙｏｎｔｈｅｐｏｗｅｒｏｆｔｈｅｕｓｅｒ＇ｓｒｅｃｅｉｖｅｄｓｉｇｎａｌｓ,ｔｈａｔｉｓｓｏ－ｃａｌｌｅｄｎｅａ…     

Mechanical model and mechanical property analysis of fibre-reinforced hybrid composite pipes

Compared to conventional fibre-reinforced composite pipes, fibre-reinforced hybrid composite pipes are more complex and are characterised by the use of hybrid fibres, hybrid matrices, and multiple fibre winding angles. In this study, based on the mechanical model of conventional fibre-reinforced composite pipes, the cross-section division method, the radial pressure on the adjacent layer by spiral wound rope structures, and the calculation method of axial force in each layer were improved. Furthermore, the von Mises stresses in each layer were calculated to discriminate the failure to establish a mechanical model of fibre-reinforced hybrid composite pipes with any number of reinforced layers under axial tension, internal pressure, and external pressure. Experimental data and the finite element method (FEM) were used to verify the reliability of the established model, with the axial tensile mechanical properties analysed based on the established model. The results showed that the large-angle fibres no longer withstood the axial tensile load when the winding angle of the large-angle fibres was greater than 45°. The matrices yielding was much earlier than the fibre breakage. The matrices hybrid methods have a large influence on the axial tensile properties of fibre-reinforced hybrid composite pipes, and improving the material properties of the inner and outer liners can significantly improve the axial tensile properties of fibre-reinforced hybrid composite pipes.     

Hybrid model for prediction of bus arrival times at next station

Effective prediction of bus arrival times is important to advanced traveler information systems (ATIS). Here a hybrid model, based on support vector machine (SVM) and Kalman filtering technique, is presented to predict bus arrival times. In the model, the SVM model predicts the baseline travel times on the basic of historical trips occurring data at given time‐of‐day, weather conditions, route segment, the travel times on the current segment, and the latest travel times on the predicted segment; the Kalman filtering‐based dynamic algorithm uses the latest bus arrival information, together with estimated baseline travel times, to predict arrival times at the next point. The predicted bus arrival times are examined by data of bus no. 7 in a satellite town of Dalian in China. Results show that the hybrid model proposed in this paper is feasible and applicable in bus arrival time forecasting area, and generally provides better performance than artificial neural network (ANN)–based methods. Copyright © 2010 John Wiley & Sons, Ltd.