基于远程数据的重型柴油车实际道路碳排放测算准确度

利用车载排放测试系统（PEMS）,对3辆加装有车载诊断系统（OBD）远程监控设备的重型柴油车进行实际道路排放测试,以获取车辆实际道路基于电子控制器单元（ECU）的OBD远程油耗数据,分析碳排放结果的准确性及其影响因素.研究发现,基于碳平衡法获取的ECU油耗换算CO₂与车载排放测量系统（PEMS）直接测量的CO₂排放结果存在差异,二者偏差平均为2.06%.对影响ECU碳排放计算的关键因素（ECU油耗量和ECU行驶距离）的准确性进行了分析,发现ECU油耗的偏差均在3%以内,而ECU测量距离的平均偏差为2.41%.ECU油耗和行驶距离的准确度会受到车速、加速度和整个行程动态的影响.当车辆低速行驶时,其准确度较低.     

A future perspective on lithium-ion battery waste flows from electric vehicles

As a proactive step towards understanding future waste management challenges, this paper presents a future oriented material flow analysis (MFA) used to estimate the volume of lithium-ion battery (LIB) wastes to be potentially generated in the United States due to electric vehicle (EV) deployment in the near and long term future. Because future adoption of LIB and EV technology is uncertain, a set of scenarios was developed to bound the parameters most influential to the MFA model and to forecast “low,” “baseline,” and “high” projections of future end-of-life battery outflows from years 2015 to 2040. These models were implemented using technology forecasts, technical literature, and bench-scale data characterizing battery material composition. Considering the range from the most conservative to most extreme estimates, a cumulative outflow between 0.33 million metric tons and 4 million metric tons of lithium-ion cells could be generated between 2015 and 2040. Of this waste stream, only 42% of the expected materials (by weight) is currently recycled in the U.S., including metals such as aluminum, cobalt, copper, nickel, and steel. Another 10% of the projected EV battery waste stream (by weight) includes two high value materials that are currently not recycled at a significant rate: lithium and manganese. The remaining fraction of this waste stream will include materials with low recycling potential, for which safe disposal routes must be identified. Results also indicate that because of the potential “lifespan mismatch” between battery packs and the vehicles in which they are used, batteries with high reuse potential may also be entering the waste stream. As such, a robust end-of-life battery management system must include an increase in reuse avenues, expanded recycling capacity, and ultimate disposal routes that minimize risk to human and environmental health.     

基于VMAS四川省在用点燃式轻型车尾气污染削减预测

针对四川省在用车辆尾气污染情况开展了详细的调查研究,结果表明四川省机动车尾气污染中约71.3%的CO、68.6%的HC、95.3%的NOx和99.2%的PM均来自于汽车尾气。同时分析得出简易瞬态工况法是在用车辆尾气排放控制的有效控制方法,有利于四川省大气环境质量的改善,经预测采用简易瞬态工况法以及简易瞬态工况法排放标准后可使四川省在用点燃式轻型车尾气排放的CO削减约28.76%~50.48%,HC+NOx削减约1.53%~23.24%。     

城市汽车尾气污染治理模式探讨

借鉴国内外 I/ M制度的经验 ,运用系统论、控制论的观点 ,创造性地提出有效治理城市汽车尾气污染应建立的六大体系 ,强调城市汽车尾气污染的控制应以尾气污染预前控制和过程控制为主 ,并以此构筑城市汽车尾气污染治理的新模式     

混合振动试验在汽车电子装备中的应用和要点

环境试验方法国家标准试验Fi：振动 混合模式（GB/T2423.58-2008）已经发布。彩混合振动试验的《道路车辆电气及电子设备的环境条件和试验》国家标准（制订征求意见稿）已经公示。文内介绍了混合模式振动试验在汽车电子装备中的应用，以及混合模式振动试验的过程要素和试验的技术要点。     

道路车辆电气和电子设备样品在振动冲击等动力学试验中的安装

在试验方法和要求标准化后，振动冲击等动力学试验中的安装问题是决定试验是否合理和试验成败的关键要素。道路车辆电子元件和设备型样品的动力学试验是考核样品安装在车辆上使用条件下的适用性。振动试验还叠加了温度和温度变化环境，条件尤为复杂严酷。文内介绍了动力学试验中的安装需要考虑的技术要素，为试验实施中妥善合理地进行样品安装提供支持.     

Spatial gradients and source apportionment of volatile organic compounds near roadways

Concentrations of 55 volatile organic compounds (VOCs) (C₂–C₁₂) are reported near a highway in Raleigh, NC. Thirty-minute samples were collected at eight locations, ranging from approximately 10–100 m perpendicular from the roadway. The highest concentrations of VOCs were generally measured closest to the roadway, and concentrations decreased exponentially with increasing distance from the roadway. The highest mean concentration for individual VOCs were for ethylene (3.10 ppbv) (mean concentration at x = 13 m), propane (2.27 ppbv), ethane (1.91 ppbv), isopentane (1.54 ppbv), toluene (0.95 ppbv), and n-butane (0.89 ppbv). Concentrations at the nearest roadway location (x = 13 m) were generally between 2.0 and 1.5 times those from the farthest roadway location (x = 92 m). The data were apportioned into four source categories using the EPA Chemical Mass Balance Model (CMB8.2): motor vehicle exhaust, compressed natural gas, propane gas, and evaporative gasoline. The majority of the VOCs resulted from motor vehicle exhaust (67 ± 12%) (% of total VOC at x = 13 m ± S.D.). Compressed natural gas, propane gas, and evaporative gasoline accounted for approximately 15%, 7% and 1% of the total VOC emissions, respectively, at x = 13 m.     

Why are Californians interested in hybrid cars?

This paper explores quantitatively Californians' interest in hybrid electric vehicles (HEV) based on a statewide phone survey conducted in July 2004 by the Public Policy Institute of California. The paper develops ordered choice models and factors that summarise beliefs about energy and the environment using principal component analysis. As expected, Californians concerned about the environment, energy efficiency, global warming and recent increases in the price of gasoline state a higher interest in hybrids; an even more important reason for considering hybrid electric vehicles, however, is the possibility of using high occupancy vehicle (HOV) lanes while driving alone, especially for people with potentially long commutes to work. The findings also suggest that beliefs about energy and the environment should be included in vehicle type choice models.     

新车免检新政实施后对高污染车的管理思路与对策的探讨

2014年9月1日起,国家试行6年以内的非营运轿车等车辆免检制度。大多数城市根据此规定,对于车辆的排放定期检验也同步实施6年免检。随着汽车保有量的快速增长,车辆尾气排放对大气环境的影响不容忽视。因此,地方环保部门应针对机动车污染排放的管理重点,从管理手段、管理体制机制、管理对策等方面进一步加强对高污染车辆的监管。     

Research on an Online Identification Algorithm for a Thevenin Battery Model by an Experimental Approach

To improve the estimation accuracy of battery’s inner state for battery management system, an online parameters identification algorithm for Thevenin battery model is researched. The Thevenin model and parameters identification algorithm based on recursive least square adaptive filter algorithm was built with the Simulink/xPC Target. The results of hardware-in-loop experiment, which uses Federal Urban Driving Schedule test to verify the parameters identification approach, show the proposed approach can accurately identify the model parameters within 1% maximum terminal voltage estimation error, and the State of Charge error which calculated by the open circuit voltage estimates can be efficiently reduced to 4%.