标准支撑电动汽车充电服务互联互通

正新能源汽车是国家战略性新兴产业,习近平总书记指出:"发展新能源汽车是迈向汽车强国的必由之路。"电动汽车是新能源汽车的重要组成部分,发展电动汽车离不开充电基础设施。当前,充电设施建设已经成为电动汽车发展的一个短板,《国务院办公厅关于加快电动汽车充电基础设施建设的指导意见》(国办[2015]73号文)提出,要"促进不同充电服务平台互联互通,提高设施通用性和开放性。"当前充电设施互联互通是充电设施建设和运行中的一个重要内容,也是一个热点难点问题。     

尽快完善充电网络是当务之急——从用户使用感受谈电动汽车发展

正关于电动汽车,最近有两件大事:一是为配合《电动汽车充电基础设施建设指导意见》和《电动汽车充电基础设施发展指南(2015~2020年)》等产业政策的落实,国家能源局结合我国电动汽车充电设施发展对标准化提出的新需求和近年来的工程建设实践,组织能源行业电动汽车充电设施标准化技术委员会在原电动汽车充电设施标准体系框架的基础上,进一步梳理、优化和补充完善,形成了《电动汽车充电设施标准体系项目表(2015年版)》;二是     

基于移动互联网技术的电动汽车充电助手系统设计与实现

论文分析了移动充电支撑手段的重要性,总结了当前移动充电支撑系统的发展情况,设计了基于移动互联网技术的电动汽车充电助手系统总体架构,对该系统中的关键技术和充电完整业务流程进行了研究,最终设计并实现了该系统。该充电助手系统已经成功应用于国内某电动汽车充电运营商的试点城市中,取得了良好的效果。     

浅析电动汽车电池快速充电

正本文根据对目前关于电动汽车快速充电的文献研究,介绍了电动汽车快速充电的主要方法、快速充电的几种拓扑结构,并分析了电动汽车快速充电的发展趋势。伴随着环境污染、石油短缺以及电池技术不断发展,新能源汽车动力系统的研究已经成为了汽车工业一个重要的发展方向。电池作为电动汽车动力系统的能量源头,     

浅析电动汽车电池快速充电

本文根据对目前关于电动汽车快速充电的文献研究,介绍了电动汽车快速充电的主要方法、快速充电的几种拓扑结构,并分析了电动汽车快速充电的发展趋势。伴随着环境污染、石油短缺以及电池技术不断发展,新能源汽车动力系统的研究已经成为了汽车工业一个重要的发展方向。电池作为电动汽车动力系统的能量源头,     

行业

日美德上演电动汽车充电标准之争,中国站队很重要近日,在美国洛杉矶召开的电动汽车研讨会上,美国通用、德国大众等8家汽车厂商公布了一种名为"联合充电系统"的电动汽车充电方式新标准。该标准与日本汽车厂商当前采用的"直流快速充电"方式截然不同,标志着日系与美德系汽车企业间关于充电方式标准之争日趋激烈。     

日本研究“道路充电”电动车可边跑边充

电动汽车如今是市场热点,不过,充电不方便这一问题制约着这种新能源汽车的快速普及。日本研究人员正在发明一种新方法,使电动汽车在行驶过程中充电,驾车者不必时时惦记寻找充电站。     

汽车、能源、电工三大行业携手 电动汽车充电接口将有国家标准

日前,工信部公布了《电动汽车传导充电用连接装置》等三项系列推荐性国家标准(以下简称《标准》)草案,并公开向社会征求意见。电动汽车充电接口,对于充电站的建设和电动汽车的发展具有重要影响。充电接口的标准,是保证电动汽车的安全性、互换性的基础标准,在充电基础设施大规模建设和电动汽车大规模应用之前,统一充电接口标准意义重大。     

日美德上演电动汽车充电标准之争，中国站队很重要

近日,在美国洛杉矶召开的电动汽车研讨会上,美国通用、德国大众等8家汽车厂商公布了一种名为“联合充电系统”的电动汽车充电方式新标准。该标准与日本汽车厂商当前采用的“直流快速充电”方式截然不同,标志着日系与美德系汽车企业间关于充电方式标准之争日趋激烈。     

电动汽车充电市场利益相关方责任

电动汽车充电站建设是推动新能源汽车发展的重要推动力量,据此发展起来的电动汽车充电市场将是一个符合国家产业政策的新兴的巨大市场。目前我国新能源汽车发展中最大瓶颈之一,就是充电站等配套设施的建设相当薄弱。虽然“十城千辆”等项目启动了新能源汽车产业化的破冰之旅,但由于受充电站的限制,目前我国示范的电动汽车只能在规定的线路上运行。     

石油企业在QC活动中存在的问题及对策

通过探讨石油企业QC活动中选题狭窄、技术缺乏创新、管理缺乏活力、成果发表质量低的原因，找出影响QC活动发展的瓶颈与存在的主要问题。根据石油企业的特点，制定出相应的对策和新的管理方法，促进QC活动向更高层次发展。     

A new approach to job shop scheduling problems with due date constraints considering operation subcontracts

We consider a kind of job shop scheduling problems with due-date constraints, where temporal relaxation of machine capacity constraint is possible through subcontracts. In practice, this kind of problem is frequently found in manufacturing industries where outsourcing of manufacturing operation is possible through subcontract. We present a heuristic algorithm that addresses the problem by solving a series of smaller subproblems to optimality. For the sake of efficiency, the algorithm repeatedly executes in two steps—(1) improving the sequence of operations and (2) picking out the operations to be subcontracted—on bottleneck machines. Experiments are conducted for example problems, and the result of the experiment confirms the viability of the suggested algorithm.     

电动汽车研究综述

电动汽车作为现代汽车产业发展的必然选择,学术界愈来愈重视对其开展研究。对近年来电动汽车的政策、研发车型、充电设施、关键技术、充电模式、充电影响及相关问题的对策等方面的研究进行了简要回顾和综述,并作了相应的总结与展望。     

A tabu search approach for cell scheduling problem with makespan criterion

Scheduling problem in a cellular manufacturing system is treated as the group scheduling problem, assuming that intercellular moves can be eliminated by duplicating machines. However, in a typical CMS, duplicating bottleneck machines may be costly and infeasible. This fact limits the applicability of group scheduling. Scheduling problem in the presence of bottleneck machines is termed as cell scheduling. A mixed-integer linear programming model is proposed for the attempted cell scheduling problem and a nested application of tabu search approach is investigated in this paper to solve the problem heuristically. The effectiveness of the proposed nested tabu search (NTS) algorithm is evaluated on 16 problems selected from the literature. Comparison of the results of NTS with SVS-algorithm reveals the effectiveness and efficiency of the proposed algorithm.     

Welfare analysis of the subsidies in the Chinese electric vehicle industry*

We employ a structural model and counterfactual analysis to identify the impact of subsidies on the Chinese electric vehicle (EV) sales and examine their welfare effects. Our findings suggest that subsidies are effective in promoting the diffusion of domestic EVs, but may adversely affect technological advancement. When the subsidies on domestic EVs are reduced, the welfare on domestic EV consumers and producers decreases. However, the reduction in government spending on EV subsidies outweighs this private welfare loss. Thus, the overall welfare increases. Subsidies cannot be justified from the perspective of reducing externalities because they increase rather than decrease pollution.     

新疆石河子垦区农产品物流问题研究

近年来,新疆生产建设兵团的农业产业化发展速度走在了全国前列。目前,已建成棉花、粮食、畜牧和林果等四大基地。但农产品物流不畅已经成为了制约新疆生产建设兵团农业现代化的瓶颈。文章首先界定了农产品物流模式的概念,然后进一步分析了石河子垦区农产品物流模式存在的问题;最后针对石河子垦区农产品物流模式存在的问题,提出了优化措施。     

电动汽车商业化的市场主体定位浅析

近年来,电动汽车商业化发展强劲提速。在分析了我国电动汽车市场发展现状及制约因素的基础上,重点对政府、电力公司、电动汽车生产商、第三方组织及消费者等重要市场主体在推动电动汽车商业化进程中的角色定位进行了初步探讨。     

保障性住房融资中运用REITs的探讨

目前我国保障性住房面临着资金瓶颈问题,这是制约保障性住房供给的重要因素之一,借鉴房地产投资信托基金(REITs)有助于解决这一问题.文章借鉴中国香港、美国和新加坡等国家的REITs运作经验,探讨了在我国保障性住房建设中运用REITs的可能性和条件,以及运作模式.在此基础上分析了在我国金融和房地产市场现状下发展保障性住房REITs存在的问题,提出了相应的对策.     

Scheduling a single batch processing machine with arbitrary job sizes and incompatible job families

Motivated by a bottleneck operation in a multi-layer ceramic capacitor production line, we study a scheduling problem of batch processing machine in which a number of jobs are processed simultaneously as a batch. The performance measures considered include makespan, total completion time, and total weighted completion time. We first present a new simple integer programming formulation for the problem, and using this formulation, one can easily find optimal solutions for small problems. However, since the problem is NP-hard and the size of a real problem is very large, we propose a number of heuristic algorithms and design a hybrid genetic algorithm to solve practical big-size problems in a reasonable computational time. To verify performance of the algorithms, we compare them with lower bounds for the problems. From the results of these computational experiments the heuristic algorithms including the genetic algorithm show different performances for the three problems.     

Monetäre Anreize zur Steuerung der Ladelast von Elektrofahrzeugen – eine modellgestützte Optimierung

Electric mobility is supposed to contribute to climate policy targets by reducing CO₂-emissions in the transportation sector. Increasing penetration rates of electric vehicles (EV) can lead to new challenges in the electricity sector, especially with regard to local distribution networks. Thus the management of charging loads is discussed as a key issue in energy economics. Due to their long parking times, high electricity and power demand, EV seem to be predestined for load management. Monetary incentives as dynamic pricing can be suitable for that: They reflect the current supply situation, pass the information to the consumers and can thus lead to a corresponding charging behaviour. In this article we analyse this interaction between dynamic pricing and charging loads. For this reason we have developed the optimization model DS-Opt+. It models a total number of 4,000 households in two residential areas of a major city with regard to its electricity demand, its mobility behaviour and its equipment of photovoltaic systems. Four different pricing models are tested for their effects on charging behaviour and thus the total load of the residential area. The results illustrate that only fairly high penetration rates of EV lead to remarkably higher electricity demand and require some load management. The tested dynamic pricing models are suitable for influencing charging loads; load-based tariffs are best in achieving a balanced load curve. In our analysis uncontrolled charging strategies are superior regarding a balanced load curve than controlled strategies by time-varying tariffs. Our results lead to several implications relevant for the energy industry and further research.