解放牌CA1111P1K2L7型柴油载货汽车起动系统电路故障诊断与排除

解放牌CA1111P1K2L7型柴油载货汽车起动系统电路中增设了DK238型电源总开关和断油电磁铁，该装置具有电源电路和起动电路的保护作用，介绍了该起动系统电路的结构及工作原理，以及该电路的常见故障与诊断。     

列车基本阻力的思考

文章从分析列车气动阻力入手，结合现有试验数据，建立了我国铁路货车、客车及机车的单位基本阻力系列试用公式，经与《列车牵引诸规程》公式以及国外相关公式进行比较后，认为这种分析一试验型公式比纯试验型公式更为合理而有效。此外，作者还提出加强列车牵引理论和应用的基础性研究等建议。     

Stress intensity factor measurement of cracks using piezoelectric element

A stress intensity factor (SIF) measurement method for cracks using a piezoelectric element and an electrostatic voltmeter is presented. In this method, an isotropic piezoelectric element is first attached near the tip of the crack. Then surface electrodes are attached to three different positions on the piezoelectric element. The electric potentials of the surface electrodes, which are proportional to the sum of the stress ( _x + _y ) on the structural member, are measured by an electrostatic voltmeter during load cycling. The mode I and mode II SIFs of the crack are estimated using the relationship between the SIF and ( _x + _y ). The applicability of the proposed method is examined through experiments and numerical analysis.     

Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach

Vehicle electrification is a promising approach towards attaining green transportation. However, the absence of charging stations limits the penetration of electric vehicles. Current approaches for optimizing the locations of charging stations suffer from challenges associated with spatial–temporal dynamic travel demands and the lengthy period required for the charging process. The present article uses the electric taxi (ET) as an example to develop a spatial–temporal demand coverage approach for optimizing the placement of ET charging stations in the space–time context. To this end, public taxi demands with spatial and temporal attributes are extracted from massive taxi GPS data. The cyclical interactions between taxi demands, ETs, and charging stations are modeled with a spatial–temporal path tool. A location model is developed to maximize the level of ET service on the road network and the level of charging service at the stations under spatial and temporal constraints such as the ET range, the charging time, and the capacity of charging stations. The reduced carbon emission generated by used ETs with located charging stations is also evaluated. An experiment conducted in Shenzhen, China demonstrates that the proposed approach not only exhibits good performance in determining ET charging station locations by considering temporal attributes, but also achieves a high quality trade-off between the levels of ET service and charging service. The proposed approach and obtained results help the decision-making of urban ET charging station siting.     

Real-time model predictive control of connected electric vehicles

ABSTRACT

Electric Vehicles (EVs) motors develop high torque at low speeds, resulting in a high rate of acceleration with the added advantage of being fitted with smaller gearboxes. However, a rapid rise of torque in EVs fitted with central drive powertrains can create undesired torsional oscillations, which are influenced by wheel slip and flexibility in the halfshaft. These torsional oscillations in the halfshaft lead to longitudinal oscillations in the vehicle, thus creating problems with regard to comfort and drivability. The significance of using wheel slip in addition to halfshaft torsion for design of anti-jerk controllers for EVs has already been highlighted in our previous research. In this research, we have designed a look-ahead model predictive controller (LA-MPC) that calculates the required motor torque demand to meet the dual objectives of increased traction and anti-jerk control. The designed LA-MPC will improve drivability and energy consumption in connected EVs. The real-time capability of the LA-MPC has been demonstrated through hardware-in-the-loop experiments. The performance of the LA-MPC has been compared to other controllers presented in the literature. A validated high-fidelity longitudinal-dynamics model of the Rav4EV, which is the test vehicle of our research has been used to evaluate the controller.     

利用机车信号数据分析补偿电容工作状态

为了弥补ZPW-2000移频轨道电路补偿电容动态检测盲区,通过实践验证并总结了利用机车信号数据分析站内侧线股道补偿电容工作状态的方法,从技术方法上解决了利用机车信号数据分析来弥补站内侧线股道处于动态检测死角问题,为分析ZPW-2000移频轨道电路补偿电容工作状态提供一种新方法。     

城市轨道交通单向导通装置智能消弧研究

介绍轨道交通单向导通装置常用的2种消弧方式:放电间隙消弧和大功率GTO消弧。放电间隙消弧的方式存在受环境影响大,无法精确控制导通的缺点;大功率GTO消弧的方式可以精确控制导通,但是无法可控关断,导致单向导通装置长期反向导通,不利于杂散电流防护。因此,提出一种可控关断GTO智能消弧型单向导通装置,对其触发导通、关断过程及等效电路进行分析,可实现单向导通装置的可控可靠关断,避免单向导通装置长期反向导通,完善设备功能。     

电控化油器技术在摩托车上的应用(1)

湛江德利化油器有限公司研制和开发的电控化油器系统,是一款闭环控制燃油供油系统,适应性较强、可靠性高,由于采用主动控制和被动供油方式相结合,在燃油经济、排放等方面都显著优于传统的化油器,在国Ⅲ应用上具有有效性,在国Ⅳ应对上具有可行性。     

电动汽车V2G关键技术研究综述

V2G(Vehicle-to-grid)技术能够优化能源效率,参与电网调度,促进电网的安全性、稳定性、可靠性和经济性。文章首先阐述了V2G的概念,其次从电动汽车储能应用研究、电动汽车可调度容量研究和电动汽车移动储能对于配网影响及其协同控制研究等三个方面,综述了国内外V2G技术的研究状况。最后介绍了国内外部分有关V2G的示范应用,并对V2G关键技术的国内外研究状况进行了总结。     

基于共同结构规范的油船结构分析方法

以VLCC为例，着重阐述了中国船级社（CCS）自主研发的结构分析软件CCS—Tools在共同结构规范（CSR）油船设计审图中的应用。IACSJTP油船结构设计程序是CCS最新研究成果，它将使人们从繁冗的CSR评估工作中解脱出来，从而通过先进完善的计算手段完成油船的设计和校核工作。