Joint deployment of charging stations and photovoltaic power plants for electric vehicles

The focus of this study is to jointly design charging stations and photovoltaic (PV) power plants with time-dependent charging fee, to improve the management of the coupled transportation and power systems. We first propose an efficient and extended label-setting algorithm to solve the EV joint routing and charging problem that considers recharging amount choices at different stations and loop movement cases. Then, a variational inequality problem is formulated to model the equilibrium of EV traffic on transportation networks, and an optimal power flow model is proposed to model the power network flow with PV power plants and optimally serve the EV charging requirements. Based on the above models for describing system states, we then formulate a model to simultaneously design charging stations, PV plants, and time-dependent charging fee. A surrogate-based optimization (SBO) algorithm is adopted to solve the model. Numerical examples demonstrate that the proposed SBO algorithm performs well. Additionally, important insights concerning the infrastructure design and price management of the coupled transportation and power networks are derived accordingly.     

京杭运河的船闸设计研究

简要介绍京杭运河的建设情况,分析京杭运河船闸的总平面布置设计要点及船闸输水系统和主体机构的设计要点。     

浮摆式波浪发电平台系泊系统设计

针对一台自行设计的浮摆式波浪发电平台的运动特点与采能方式,对其系泊系统进行设计。系泊型式为"平台—连接缆—浮筒—锚链—锚"的悬链线单点浮筒系泊。以试验海域海况参数为依据,计算系统载荷,并采用准静力分析法对系泊系统各构件进行选型设计。设计的连接缆为钢丝绳,浮筒为圆柱型钢制浮筒,锚链为二级有档锚链,作业锚为AC-14锚。经检验,设计的系统符合安全要求和平台稳定性需求。     

基于Matlab/Guide的中小型电动船舶船机桨匹配设计研究

在新船设计中,为了确定主机的功率、螺旋桨的最佳要素及正确的预报航速,使得船机桨达到良好的匹配,就需要对新船进行船机桨匹配设计。而传统的船机桨匹配设计主要是利用图谱法,但图谱法设计工作量较大,而且涉及到大量的图表和计算公式,因此影响计算结果精度。利用Matlab/Guide进行船机桨匹配设计、计算与分析的研究,使得在新船的船机桨匹配设计中,能够降低工作强度并提高设计结果的精度,让设计计算工作更加方便。     

仿真技术在舰船动力装置生命周期中的应用研究

  目的  在充分分析舰船动力装置总体设计研究现状的基础上,指出现有动力装置设计方法中存在缺乏从多学科耦合角度进行仿真和优化,从而制约设计质量提高的问题,有必要开展动力装置多学科集成优化理论、方法及关键技术研究。  方法  建立舰船动力装置多学科集成优化设计系统框架,并对动力装置多学科优化技术、现代设计工具技术、协同仿真、支撑环境、设计软件开发等关键技术进行深入研究。  结果  给出了有效的解决方案。  结论  研究成果能为开展舰船主动力装置多学科集成设计优化提供一定的参考,同时为舰船动力装置设计水平的提高奠定一定的基础。     

浅海锆钛砂矿采选一体船“泰鑫1”设计研究

主要介绍了我国首艘浅海锆钛砂矿采选一体船的设计背景、主要技术参数和功能,并进一步重点论述了本船总体设计、采矿系统、选矿系统、总纵强度计算和高压岸电系统的设计思路和成果,以供今后开发类似船型的行业同仁借鉴。     

AUV动力电池技术的应用现状及展望

从能量密度、循环寿命和安全性等方面介绍常用动力电池的特点,主要类型包括铅酸电池、锌银电池等传统电池和锂电池、燃料电池等新型电池。结合AUV的发展前景,对AUV对动力电池的发展要求进行分析,对AUV的充电方式进行总结,介绍锂电池管理系统的功能,以期能为新能源驱动的AUV研究提供一定参考。     

Assessment of energy-saving techniques in direct-current-electrified mass transit systems

Railway rapid transit systems are key stones for the sustainability of mass transit in developed countries. The overwhelming majority of these railway systems are direct-current (DC) electrified and several energy-saving techniques have been proposed in the literature for these systems. The use of regenerative-braking in trains is generally recognised as the main tool to improve the efficiency of DC-electrified mass transit railway systems but the energy recovered in braking cannot always be handled efficiently, above all in low traffic-density situations. Several emerging technologies as energy storage systems or reversible traction substations have the potential for making it possible to efficiently use train-braking. However, a systematic evaluation of their effect is missing in the literature.In this paper, a deep, rigorous and comprehensive study on the factors which affect energy issues in a DC-electrified mass transit railway system is carried out. This study clarifies what the actual potential is for energy saving in each situation. Then, a methodology to asses several energy-saving techniques to improve energy efficiency in DC-electrified mass transit systems is presented, constituting the main contribution of this paper. This methodology has been conceived to help operators in assessing the effect of railway-infrastructure emerging technologies in transit systems, so making it possible to shape planning, capacity, etc. It is stepped out in three basic movements. First of all, a traffic-density scan analysis is conducted in order to clarify the effect of the headway on system behaviour. Secondly, several traffic-density scenarios are simulated for a set of infrastructure-expanded cases. Finally, annual energy saving is evaluated by applying a realistic operation timetable. This methodology has been applied to a case study in Madrid Metro (Spain) to illustrate the steps of its application and the effect of several energy-saving techniques on this specific system. Results confirm that regenerative braking generally leads to an important increase of system energy efficiency – especially at high traffic-density scenarios. It has also been proved that infrastructure improvements can also contribute to energy savings and their contributions are more significant at low traffic densities. Annual energy results have been obtained, which may lead to investment decisions by carrying out an appropriate economic assessment based on cost analysis.The main results of the study presented here are likely to apply to other electric traction systems, at least qualitatively.     

Real time detection of driver attention: Emerging solutions based on robust iconic classifiers and dictionary of poses

Real time monitoring of driver attention by computer vision techniques is a key issue in the development of advanced driver assistance systems. While past work mostly focused on structured feature-based approaches, characterized by high computational requirements, emerging technologies based on iconic classifiers recently proved to be good candidates for the implementation of accurate and real-time solutions, characterized by simplicity and automatic fast training stages.In this work the combined use of binary classifiers and iconic data reduction, based on Sanger neural networks, is proposed, detailing critical aspects related to the application of this approach to the specific problem of driving assistance. In particular it is investigated the possibility of a simplified learning stage, based on a small dictionary of poses, that makes the system almost independent from the actual user.On-board experiments demonstrate the effectiveness of the approach, even in case of noise and adverse light conditions. Moreover the system proved unexpected robustness to various categories of users, including people with beard and eyeglasses. Temporal integration of classification results, together with a partial distinction among visual distraction and fatigue effects, make the proposed technology an excellent candidate for the exploration of adaptive and user-centered applications in the automotive field.     

Fuzzy-logic-based incident detection for signalized diamond interchanges

This paper documents a fuzzy-logic-based incident detection algorithm for signalized urban diamond interchanges. The model is capable of detecting lane-blocking incidents whose effects are manifested by patterns of deterioration in traffic conditions that require adjustments in signal control strategies. As a component of a real-time traffic adaptive control system for signalized diamond interchanges, the algorithm feeds an incident report (i.e., the time, location, and severity of the incident) to the system's optimization manager, which uses that information to determine the appropriate signal control strategy.The performance of the model was studied using a simulation of an actual diamond interchange. The simulation study evaluated the model's performance in terms of detection rate, false alarm rate, and mean time to detect. The model's performance was encouraging, and the fuzzy-logic-based approach is considered promising.