双源制电力牵引调车机车的研发

根据“国家十二五规划纲要”指导思想和《国家中长期科学和技术发展规划纲要(2006-2020年)》要求,文章就基于供电网受电式和蓄电池储电式的双电源制“电-电”混合动力调车机车的技术特点进行分析,与目前柴油机作为动力的调车机车相比,双源制电力牵引调车机车具有绿色、环保、节能的明显技术优势,符合国家建设资源节约型社会的要求.     

HXD3C型交流传动电力机车DC600V列车供电系统

HXD3C型交流传动电力机车是干线客货通用电力机车,机车额定功率为7 200 kW,最高速度为120 km/h.该机车列车供电系统具备DC 600 V供电能力.文章介绍了HXD3C型机车列车供电系统的结构、技术特点,并通过试验验证该列车供电系统性能.     

北京市轨道交通产业化研究

分析北京城市轨道交通产业的特点,阐述其发展的优劣势,从规划设计咨询类、工程建设施工类、装备制造类、运营类及增值服务类等5个方面,分析北京城市轨道交通产业链的构成与发展情况及发展需求,并结合国家对轨道交通的战略性新型产业的定位,提出3点发展建议,为推动北京城市轨道交通产业的健康发展提供参考.     

接地变压器在轨道交通电力系统中的应用与分析

介绍接地变压器的原理、工作特点,以及接地变压器在轨道交通供电系统中的实际运用。从保护动作可靠性、系统运行方式调整的灵活性和安全性以及建设成本3个方面,对2种不同接线方式的接地变压器进行了分析比较。并从日常运行维护角度建议接地变压器采用独立的断路器。     

计算机联锁系统辅助电源设计

介绍了多输出单端反激开关电源的设计方法,该方法适用于计算机联锁系统辅助电源的设计。分析多输出单端反激电源的工作原理,双闭环控制方式和工作模式;详细阐述了高频变压器的设计方法以及关键元器件和电路参数设计。该方法设计出的电源符合计算机联锁系统辅助电源性能要求,具有很大的实际工程价值。     

30kW微燃机电、热联供机组开发应用技术与经济分析

简单介绍了微燃机电、热联供机组工作原理，详细对比分析了工程实例与普通柴油发电机组及锅炉采暖技术与经济性能参数，对以后野外施工及偏远无市电地区能源保障提出了看法。     

间歇式沥青拌和站冷料供给系统流量的标定方法

以实例介绍间歇式沥青拌和冷料供给系统流量的标定方法和步骤，以确保冷料供给器按目标配合比准确供料，使沥青混合料的生产配比更加接近目标配比，保证拌和成品料的质量。     

Greenhouse gas emissions from ships in ports – Case studies in four continents

Emissions of GHG from the transport sector and how to reduce them are major challenges for policy makers. The purpose of this paper is to analyse the level of greenhouse gas (GHG) emissions from ships while in port based on annual data from Port of Gothenburg, Port of Long Beach, Port of Osaka and Sydney Ports. Port call statistics including IMO number, ship name, berth number and time spent at berth for each ship call, were provided by each participating port. The IMO numbers were used to match each port call to ship specifications from the IHS database Sea-web. All data were analysed with a model developed by the IVL Swedish Environmental Research Institute for the purpose of quantifying GHG emissions (as CO₂-equivalent) from ships in the port area. Emissions from five operational modes are summed in order to account for ship operations in the different traffic areas. The model estimates total GHG emissions of 150,000, 240,000, 97,000, and 95,000 tonnes CO₂ equivalents per year for Gothenburg, Long Beach, Osaka, and Sydney, respectively. Four important emission-reduction measures are discussed: reduced speed in fairway channels, on-shore power supply, reduced turnaround time at berth and alternative fuels. It is argued that the potential to reduce emissions in a port area depends on how often a ship revisits a port: there it in general is easier to implement measures for high-frequent liners. Ships that call 10 times or less contribute significantly to emissions in all ports.     

第三轨供电系统中受流器与第三轨的接触压力及其对受流性能的影响分析

介绍了第三轨受流器的结构原理。分析比较了弹簧式和气压式受流器与第三轨接触压力调节方式的特点。基于电接触基本理论详细的阐述了受流滑板与第三轨接触区的导电机理。接触区域的导电电路由无数微小的电阻及电容并联而成,接触压力通过影响微小电阻、电容的数量比例,进而影响接触面上的导电能力和磨损性能。标称静态接触压力的设计值接近或等于"法向压应力临界值"时,导电能力和磨损特性取得均衡。     

Driving cycle prediction model based on bus route features

Bus fuel economy is deeply influenced by the driving cycles, which vary for different route conditions. Buses optimized for a standard driving cycle are not necessarily suitable for actual driving conditions, and, therefore, it is critical to predict the driving cycles based on the route conditions. To conveniently predict representative driving cycles of special bus routes, this paper proposed a prediction model based on bus route features, which supports bus optimization. The relations between 27 inter-station characteristics and bus fuel economy were analyzed. According to the analysis, five inter-station route characteristics were abstracted to represent the bus route features, and four inter-station driving characteristics were abstracted to represent the driving cycle features between bus stations. Inter-station driving characteristic equations were established based on the multiple linear regression, reflecting the linear relationships between the five inter-station route characteristics and the four inter-station driving characteristics. Using kinematic segment classification, a basic driving cycle database was established, including 4704 different transmission matrices. Based on the inter-station driving characteristic equations and the basic driving cycle database, the driving cycle prediction model was developed, generating drive cycles by the iterative Markov chain for the assigned bus lines. The model was finally validated by more than 2 years of acquired data. The experimental results show that the predicted driving cycle is consistent with the historical average velocity profile, and the prediction similarity is 78.69%. The proposed model can be an effective way for the driving cycle prediction of bus routes.