一种直流电机驱动的内装式电动电缆绞盘

介绍一种新型的直流电动机驱动的内装式电动电缆绞盘,这种电缆绞盘由直流电动机驱动,减速器为活齿减速器结构,把驱动装置和减速机构装在电缆绞盘滚筒里面。整体结构简单、紧凑,传动效率高,广泛应用于移动电源的电缆收放作业。     

混合动力客车CAN总线通信系统故障与抗干扰的研究

混合动力客车上由于电磁环境异常复杂,通信节点众多,从而造成CAN网络通信的容错能力下降。本文描述了安凯HFF6140K07CHEV插电式混合动力客车中几种常见的CAN总线故障表现形式,并通过分析CAN网络中的常见故障类型,最终给出相应的抗干扰解决方案。     

纯电动客车的CAN网络系统设计与开发

纯电动（PEV）客车相比于传统客车对整车的网络控制要求更高,其复杂的车载电子电气设备产生的干扰不仅严重影响外界电子设备和系统的正常工作,而且在相互之间也产生电磁干扰,影响自身正常工作。本文对网络设计中的一些关键问题进行研究,以有助于提高网络控制的稳定性和抗干扰性等。     

HFF6127G03EV纯电动客车整车开发

简要介绍HFF6127G03EV纯电动客车整车的开发和高压电气件及驱动控制系统的设计;采用轮边电驱桥和铝合金车身等新技术、新材料,对整车匹配进行优化,以提高整车的动力性、安全性、节能和环保性能。     

基于CAN Bootloader的电动汽车远程数据更新系统设计

基于飞思卡尔MC9S12X系列16位微控制器,阐述CAN Bootloader的原理和工作过程及应用,并实现远程数据更新功能。实验表明,将CAN Bootloader远程数据更新应用于汽车CAN总线中,实现远程下载或远程标定,使CAN节点更具灵活性和可扩展性,同时提高产品开发的效率。     

JXK6620CEV纯电动客车设计

介绍JXK6620CEV纯电动客车的目标市场、设计理念、整车性能参数、技术方案及适用的运营模式,为新能源汽车推广提供借鉴。     

纯电动轿车侧面碰撞安全性能提升

阐述了侧面碰撞评价性能指标,并给出了侧碰过程中典型的3种B柱变形模式。针对电动车与传统车的区别,分析了电动车与传统车在侧碰过程中车身损毁程度的不同和对假人造成伤害的不同。通过对某款电动车具体的侧碰分析和实车验证,指出了其B柱变形模式不好,容易对假人胸部造成伤害,接着剖析车身结构,提出改善方案,对B柱中上部结构进行加强,对其底部进行减弱。再次进行仿真分析验证,证实了改进方案的合理性。     

增程/插电式电动商用车控制策略和经济性分析

对一款增程/插电式电动商用车进行研发。设计了该电动车辆的系统拓扑结构,分析了其工作原理。基于中国典型城市工况下进行了车辆的行驶仿真,得到了增程/插电式商用车的油耗和经济性。     

汽车电动助力转向控制系统研究

节能、舒适、廉价是汽车消费者对汽车的基本要求,也是是现代汽车技术追求的主要目标,集中体现了现代汽车工业的发展方向。汽车转向系统的性能在节能、环保及舒适方面具有非常重要的作用。传统的助力转向系统己不能满足其发展的要求。随着汽车技术的发展与电子技术的不断进步,电动助力转向系统已经成为汽车助力转向系统发展的一种趋势。     

Modelling heavy vehicle car‐following behaviour in congested traffic conditions

This study develops a car‐following model in which heavy vehicle behaviour is predicted separately from passenger car. Heavy vehicles have different characteristics and manoeuvrability compared with passenger cars. These differences could create problems in freeway operations and safety under congested traffic conditions (level of service E and F) particularly when there is high proportion of heavy vehicles. With increasing numbers of heavy vehicles in the traffic stream, model estimates of the traffic flow could be degrades because existing car‐following models do not differentiate between these vehicles and passenger cars. This study highlighted some of the differences in car‐following behaviour of heavy vehicle and passenger drivers and developed a model considering heavy vehicles. In this model, the local linear model tree approach was used to incorporate human perceptual imperfections into a car‐following model. Three different real world data sets from a stretch of freeway in USA were used in this study. Two of them were used for the training and testing of the model, and one of them was used for evaluation purpose. The performance of the model was compared with a number of existing car‐following models. The results showed that the model, which considers the heavy vehicle type, could predict car‐following behaviour of drivers better than the existing models. Copyright © 2013 John Wiley & Sons, Ltd.