充电模式下锂离子电池组主动均衡控制方法研究

目前电动汽车都会采用到驱动动力强劲的锂离子电池,在充电模式下保证锂电子电池组实现主动均衡控制,有效推进电动汽车电力系统良性发展,提升电汽车整体性能。文章中所探讨的是基于双向Buck-Boost拓扑结构的主电路主动均衡控制系统,它其中基于荷电状态SOC建立主要均衡判据,进而实现了对主动均衡控制策略的有效改进。简单研究了充电模式下的锂离子电池组主动均衡控制电路设计方法,锂离子电池组的SOC均衡控制策略,并对其设计控制方法仿真结果进行分析。     

电动汽车充电设施现状及发展趋势

利用可再生能源已成为了世界的重点。电动汽车由于低碳环保,是汽车产业的的未来发展趋势。与电动汽车配套的充电设施必须与之保持同步,电动汽车的发展才能不受制约。为此,本论文重点研究了电动汽车充电设施的现状和未来的发展趋势。     

施工企业统计数据的分析及应用

通过对企业全年经济数据分析,得出企业全年经济运行拐点上扬的趋势。结合国内基础建设现况,指出建设项目按基建程序办事的重要性;针对企业情况,提出企业经济增长需提高内生动力。     

UD63型尼桑汽车起动和充电系控制电路及故障排除

系统地介绍UD63型尼桑汽车起动系和充电系控制电路的原理及故障分析,并给出检修实例。有利于准确、快速地排除该类车型的故障。     

尼桑汽车起动系和充电系控制电路分析及故障检修

叙述了尼桑汽车起动系、充电系的先进性和保护完善性；详细地介绍了起动系和充电系控制电路的原理及故障诊断。所给出的检修实例，对于准确、快速地检查、确定并排除尼桑汽车起动系及充电系控制电路的故障具有实际意义。     

电动汽车充电桩安全管理研究

随着国家对环境保护和能源节约的重视以及新能源政策的实施,电动汽车行业迎来了快速发展。充电基础设施的建设,是加快电动汽车推广的重要需要。电动汽车充电基础设施建设和运营业务发展的机会也极大,随之而来的安全管理工作要求也越来越高。本文依据充电桩建设和运营的特点,剖析其中面临的安全风险,并提出加强安全管理工作的措施,为充电桩企业安全管理运营提供参考和借鉴。     

An optimization framework for workplace charging strategies

The workplace charging (WPC) has been recently recognized as the most important secondary charging point next to residential charging for plug-in electric vehicles (PEVs). The current WPC practice is spontaneous and grants every PEV a designated charger, which may not be practical or economic when there are a large number of PEVs present at workplace. This study is the first research undertaken that develops an optimization framework for WPC strategies to satisfy all charging demand while explicitly addressing different eligible levels of charging technology and employees’ demographic distributions. The optimization model is to minimize the lifetime cost of equipment, installations, and operations, and is formulated as an integer program. We demonstrate the applicability of the model using numerical examples based on national average data. The results indicate that the proposed optimization model can reduce the total cost of running a WPC system by up to 70% compared to the current practice. The WPC strategies are sensitive to the time windows and installation costs, and dominated by the PEV population size. The WPC has also been identified as an alternative sustainable transportation program to the public transit subsidy programs for both economic and environmental advantages.     

Integrated approach to determine highway flooding and critical points of drainage

Among the natural hazards that threaten transportation infrastructure, flooding represents a major hazard to highways as it challenges their design, operation, efficiency and safety. In extreme cases, it may lead to massive obstruction of traffic and direct damages to the road structures themselves and indirect damages to the economic activity and development of the region. To enable the prevention of such consequences, and the proposition of adaptive measures for existing infrastructure, this paper presents an integrated framework to identify the most vulnerable points to flooding along a highway. This is done through the combination of remote sensing information (e.g. LiDAR based Digital Elevation Model, satellite imagery), a high-quality dataset, and a quasi-2D hydrodynamic model. The forcing condition is defined using a hyetograph associated to a storm with duration of 1 day and return period of 100 years. The selected highway is located in the Mexican state of Tabasco, where extreme precipitation events and floods are frequent. Results demonstrate the ability of the methodology to identify critical water levels along the road (h > 1.50 m) at those locations where flooding has been experienced, as well as points of inspection for the highway drainage. These locations were visited in the field and maintenance problems were detected that do increase its level of exposure. We show that this framework is useful for the generation of a flood management strategy to the analyzed highway, which includes an optimum location of adaptive measures to an anticipated more intense future climate.     

基于剩余充电电量的锂离子电池组容量快速估计方法

针对传统锂离子电池组容量确定方法存在的效率低、能耗高且只能离线应用等问题,提出一种基于电池剩余充电电量的锂离子电池组容量快速估计方法。首先,基于充电电压曲线一致性原理,以电池组内率先充电至充电截止电压的电池单体电压曲线为基准,通过电压曲线的平移缩放与线性插值计算出各单体电池的剩余充电电量与剩余充电时间,从而实现各单体电池的荷电状态(State of Charge, SOC)在线估计,在此基础上实现电池组容量的快速估计。其次,在电池单体模型的基础上建立电池组的仿真模型,并在全SOC区域上对模型参数进行分段辨识。通过所建立的仿真模型得到电池组的充放电曲线,并对电池组容量进行估计。最后,对4个单体串联而成的电池组进行充电试验。研究结果表明:仿真容量与估计容量误差为1.2%以内,验证了所提出的容量快速估计算法的有效性;利用所提方法估计出电池组容量与试验得到的电池组容量的误差为2.61%;该方法根据电池充电曲线的平移与缩放即可在线估计出电池组容量,可应用于新电池组容量的在线快速估计,能在保证3%估计误差的基础上将检测效率提高到传统方法的2倍以上。     

基于信令数据的出行强度影响因素分析模型

为探究城市交通出行强度影响因素及不同因素的影响程度，本文从土地利用与交通基础设施建设两方面出发，分析包括土地利用混合指数，职住混合率熵指数，公共交通站点 500 m覆盖率，路网可达性等17个指标与出行强度的相关关系；基于相关系数和拟合优度分析，提取7个与出行强度强相关指标，基于所识别指标构建北京市中心城区出行强度多元回归模型.模型结果表明，职住混合率熵指数对出行强度的影响最为显著，公共交通站点覆盖率对出行强度的影响比道路网密度和可达性更为明显.此外，给出单一土地利用/交通基础设施指标对出行强度拟合结果的离群特征分析方法，用于评估不同区域基础设施供给与交通出行需求之间的平衡关系.