碰撞检测中计算两凸多面体间最短距离的算法研究

提出了一种计算两凸多面体问最短距离的算法．该算法用物体三维空间顶点坐标的凸包表示凸多面体，采用非线性规划方法来计算两凸多面体同最短距离，并通过最短距离来判断两凸多面体是否发生碰撞．实例证明这种方法的有效性．     

模坑隧道防排水优化设计与施工

就模坑隧道防排水优化设计与施工实践进行了阐述。     

最优服务率在公路收费系统中的应用

针对公路收费系统与车辆等待服务之间相互矛盾的费用关系,合理地设计和控制公路收费系统,分析收费系统中的最优服务率,建立排队模型,并推导最优服务率的高解方程式。利用MATLAB拟合函数曲线图,估计初始值,采用Netwon迭代法求出方程最优解,即收费系统的最优服务率,从而解决公路收费系统费用与车辆等待服务费用之间的矛盾,使收费系统的费用与车辆等待服务所消耗的费用之和达到最小。结合实例讨论在M/M/1/∞/∞/FCFS队列中最经济合理的服务效率,结果表明该方法实践性较强且精确度较高。     

混合动力系统的匹配设计与优化算法

混合动力电动汽车是解决当前能源短缺与环境污染问题的最切实有效的技术之一,它充分利用2种动力源之间的动力优化分配,提高整个混合动力系统的效率。文章介绍了混合动力系统的参数优化和应用的优化算法,得出通过采用合理优化算法对混合动力系统进行优化将极大地改善整车的动力性、经济性和排放性能,指出混合动力系统的匹配与优化是混合动力汽车研究和开发的重点,混合动力系统优化是一个值得深入研究的课题。     

先进汽车生产技术——精益生产

现代成功的企业设计比以往任何时候都更加强调以客户为中心,文章阐述了为了实现最优的成本结构,现代企业通过精益和高效的生产流程,低库存,以及最大限度地利用生产设备来控制并缩短生产零件的周转时间。指出作为精益生产的最高前提是尽可能地减少或避免浪费,并通过精益生产达到现代生产管理最优化的目的。     

货车平顺性预测与优化

本文介绍了货车15个自由度振动模拟模型,以及平顺性预测与优化的方法。利用ARPO软件对某货车的平顺性进行了模拟分析,计算值与道路试验值比较吻合。ARPO软件可用于分析汽车结构参数对平顺性的影响,预测和优化汽车的平顺性。     

汽车离合器膜片弹簧优化设计的数学模型分析

关于膜片弹簧的优化设计，国内学提出了多种不同的优化设计模型，对这模型进行分析研究，在此基础上提出了更为符合实际的数学模型。最后，应用此模型进行实例计算。结果表明，优化后的膜片弹簧性能明显高于原设计。     

Real-time bus route state forecasting using particle filter and mesoscopic modeling

In the absence of system control strategies, it is common to observe bus bunching in transit operations. A transit operator would benefit from an accurate forecast of bus operations in order to control the system before it becomes too disrupted to be restored to a stable condition. To accomplish this, we present a general bus prediction framework. This framework relies on a stochastic and event-based bus operation model that provides sets of possible bus trajectories based on the observation of current bus positions, available via global positioning system (GPS) data. The median of the set of possible trajectories, called a particle, is used as the prediction. In particular, this enables the anticipation of irregularities between buses. Several bus models are proposed depending on the dwell and inter-stop running time representations. These models are calibrated and applied to a real case study thanks to the high quality data provided by TriMet (the Portland, Oregon, USA transit district). Predictions are finally evaluated by an a posteriori comparison with the real trajectories. The results highlight that only bus models accounting for the bus load can provide valid forecasts of a bus route over a large prediction horizon, especially for headway variations. Accounting for traffic signal timings and actual traffic flows does not significantly improves the prediction. Such a framework paves the way for further development of refined dynamic control strategies for bus operations.     

On-line estimation of state-of-charge of Li-ion batteries in electric vehicle using the resampling particle filter

Accurate battery state-of-charge (SOC) estimation is important for ensuring reliable operation of electric vehicle (EV). Since a nonlinear feature exists in the battery system and particle filter (PF) performs well in solving nonlinear or non-Gaussian problems, this paper proposes a new PF-based method for estimating SOC. Firstly, the relationships between the battery characteristics and SOC are analyzed, then the suitable battery model is developed and the unknown parameters in the battery model are on-line identified using the recursive least square with forgetting factors. The proposed battery model is considered as the state space model of PF and then SOC is estimated. All experimental data are collected from the running EVs in Beijing. The experimental errors of SOC estimation based on PF are less than 0.05 V, which confirms the good estimation performance. Moreover, the contrastive results of three nonlinear filters show PF has the same computational complexity as extend Kalman filter (EKF) and unscented Kalman filter (UKF) for low dimensional state vector, but PF have significantly better estimation accuracy in SOC estimation.     

高速公路挖方边坡优化设计智能方法与应用

文章针对高速公路挖方边坡设计的特点和要求,结合依托工程实例,阐述了基于支持向量机和粒子群算法的智能方法在高速公路挖方边坡优化设计中的具体应用,为高速公路挖方边坡优化设计提供参考。