基于电子商务的二手车营销模式研究

从传统二手车营销模式的弊端谈起，论述了基于电子商务二手车营销模式的优势，并在此基础上提出建立基于电子商务的二手车营销模式．并探讨了如何实现这种模式。     

出口型煤炭码头封闭式堆场通过能力研究

针对出口型煤炭码头封闭式堆场在设计通过能力时存在的问题,基于离散事件动态系统理论,建立该类型码头物流系统的概念模型,并进一步建立系统的仿真模型,通过仿真试验研究堆场筒仓数量和容量与码头通过能力的关系.模型经过实际检验,具有重要的工程应用价值.     

ISG hybrid powertrain: a rule-based driver model incorporating look-ahead information

According to European regulations, if the amount of regenerative braking is determined by the travel of the brake pedal, more stringent standards must be applied, otherwise it may adversely affect the existing vehicle safety system. The use of engine or vehicle speed to derive regenerative braking is one way to avoid strict design standards, but this introduces discontinuity in powertrain torque when the driver releases the acceleration pedal or applies the brake pedal. This is shown to cause oscillations in the pedal input and powertrain torque when a conventional driver model is adopted. Look-ahead information, together with other predicted vehicle states, are adopted to control the vehicle speed, in particular, during deceleration, and to improve the driver model so that oscillations can be avoided. The improved driver model makes analysis and validation of the control strategy for an integrated starter generator (ISG) hybrid powertrain possible.     

我国工读学校职业化办学方向探索

文中从工读学校发展历程综合分析了目前我国工读学校办学中存在的性质定位危机、生源危机、办学资源危机等问题及其成因,并在此基础上,通过对工读学校职业教育机构的本质属性的分析,提出工读学校走职业化办学道路,以促进工读学校的持续健康发展的策略。     

基于蚁群算法的舰船避险航路规划

采用蚁群算法研究舰船避险航路规划问题,利用栅格法将航行海区进行细分,建立舰船避险航路模型,进而求算优化解。仿真结果表明,蚁群算法求解舰船优化航路具有较强的稳定性和鲁棒性。     

异步电机效率优化算法设计

针对异步电机效率优化问题，提出混合在线式直流最小功率模糊搜索效率优化控制算法（FLSC）。算法利用损耗模型控制（LMC）的研究成果，设计新型比例因子提取策略，可以实时在线获得电机各稳态工况下FLSC输入和输出变量的比例因子，预先规划了算法搜索控制的方向，保证了算法的快速收敛性。根据异步电机的特性及先期的综合实验数据分析，对模糊控制用模糊集合及其隶属度函数进行系统化设计，对输入变量的ZE模糊集进行梯形隶属度函数设计，对输出变量进行正负不对称隶属度函数设计，从而解决了系统在效率最优点处的振荡问题。对小功率异步电机系统的计算机仿真及台架实验表明：针对异步电机的轻载运行工况，FLSC算法能显著提高异步电机系统的控制性能；对于异步电机转子电阻参数变化的工况也具有很好的鲁棒性。     

Development of a semi-empirical friction model in automotive driveshaft joints

High speed and sport utility vehicles with large joint articulation angle demand lower friction in automotive driveshaft joints to meet noise and vibration comfort levels. Thus a more thorough understanding of internal friction characteristics and mechanisms is required. In this paper, a friction model in automotive driveshaft joints was developed through the use of test data from an instrumented Constant Velocity (CV) joint friction apparatus with actual driveshaft assemblies. Experiments were conducted under different realistic operating conditions of oscillatory speeds, CV joint articulation angles, lubrication, and torque. The experimental data was used to develop a physics-based semi-empirical CV joint internal friction model as a function of different CV joint operating parameters. It was found that the proposed friction model captures the experimental results well. Also the friction model estimates the generated axial force (GAF) in tripod CV joints well, which is the main source of force that causes vehicle vibration problems.     

沥青混合料CT扫描切片图像分割算法研究

为科学地利用工业CT扫描的沥青混合料断面图像,通过比较图像分割学科的阈值法及模式识别领域的混合高斯模型及模糊C均值聚类三种方法,采取一系列二分类的策略较好地将二维切片图像区分为几类物质,并实现了自动批处理大量图片的过程,最后采用马歇尔试件进行了验证。     

Study on driver model for hybrid truck based on driving simulator experimental results

In this paper, a proposed car-following driver model taking into account some features of both the compensatory and anticipatory model representing the human pedal operation has been verified by driving simulator experiments with several real drivers. The comparison between computer simulations performed by determined model parameters with the experimental results confirm the correctness of this mathematical driver model and identified model parameters. Then the driver model is joined to a hybrid vehicle dynamics model and the moderate car following maneuver simulations with various driver parameters are conducted to investigate influences of driver parameters on vehicle dynamics response and fuel economy. Finally, major driver parameters involved in the longitudinal control of drivers are clarified.     

考虑稳健性的汽车结构耐撞性优化设计

本文中基于C-NCAP中40%重叠度的偏置碰撞工况对某轿车进行结构耐撞性优化。为提高输出响应的预测精度,使用基于粒子群算法优化的支持向量回归模型来拟合设计变量与输出响应之间的关系,并利用非支配排序多目标遗传算法Ⅱ获得该优化问题的Pareto前沿。在确定性优化的基础上,并考虑产品性能在不确定因素影响下的波动,对其进行稳健性优化设计。最后,对优化结果进行有限元仿真验证。结果表明:优化后,结构质量减轻,耐撞性能明显提升,同时保障了稳定的产品性能。