福田欧辉携手清华大学谱写新高度 2017“氢”强音奏响

正1月20日,分别专注燃料电池技术研究、燃料电池客车制造、氢动力系统打造的技术领头羊——中国最高学府清华大学、中国新能源客车领导品牌致力打造者福田欧辉和氢燃料电池动力系统的技术顶尖代表亿华通,携手开启了一堂别致生动的"氢"课堂,向30多位来自行业主流媒体的记者们娓娓道出16年来执着氢燃料电池技术研究的发展心路。16年来,他们用扎实、稳健的技术攀升走出了不一样的氢燃料电池客车的中国步伐,也用强劲的实力展现率先奏响了2017全球氢燃料电池突破年的"中国最强音"。     

宇通客车:用燃料电池动力瞄准新能源客车终极目标

正"新能源客车的发展趋势从混合动力到插电式混合动力,再到纯电动,而燃料电池动力则是新能源客车发展的终极目标。"宇通客车对新能源客车的未来女口此定义。在第13届中国国际交通技术与设备展览会首日,宇通客车以第三代燃料电池客车ZK6125FCEVG2为燃料电池动力客车的未来描绘了新的     

恒通——中国清洁城市交通倡导者

恒通快速充电插电式气电混合动力客车CKZ6116HNEVA4是一种具有全新的电动客车运营保障模式的新型客车,其电能配置模式和电能补给模式,完全满足了城市公交运行的实用性、商业化需求。该车采用的是合理及实用型的混合动力系统。在加速性能、爬坡性能、公交路线运营等方面相当稳健,客车运行全过     

中外新能源汽车技术路线的异同

<正>科技部确定的新能源汽车技术路径是纯电驱动。"十五"电动汽车重大专项曾把燃料电池电动汽车置于优先发展地位,"十一五"节能与新能源汽车重大专项中把混合动力汽车作为重点,"十二五"期间又把电池动力汽车列为重点。未来新能源客车发展的技术路线究竟应当怎么走?这仍然是一个不确定的问题。如何认识公共交通电动化?在欧洲,发展现代无轨电车也是其公共交通电动化的重要组成部分,受到重视和鼓励发展,但在中国,无轨电车却因为空中架设电线影响市容等原因被限制发展,国家的新能源客车政策中也没有把无轨电车作为电动客车纳入支持范畴。不过,随着北京、杭州、郑州等城市开始认识到无轨电车运营的有效性,情况正在发生改变,双源无轨电车开始     

基于结构方程模型电动自行车不安全行为分析

为减少电动自行车不安全骑行行为引起的交通安全问题,探究其背后的影响因素.本文在计划行为理论(TPB)原模型的基础上增加外在感知变量,设计电动自行车骑行人不安全行为问卷,构建电动自行车不安全骑行行为结构方程模型.根据问卷调查结果,用SPSS软件对骑行人个人属性进行分析,通过AMOS软件建模分析,最终得到电动车骑行不安全行为结构方程路径图.结果表明:不安全性态度、主观规范、外在感知和知觉行为控制与行为意向显著相关,其中外在感知与知觉行为控制最为显著,能直接对行为产生影响,为交通管理部门矫正电动自行车不安全行为提供了理论支撑,从而提高交通安全水平.     

集萃先进能源材料与应用技术研究所"氢燃料电池电动两轮车"项目荣获常州市创新创业大赛一等奖

2021年7月30日,经过3个多月激烈角逐,2021年第六届常州市创新创业大赛圆满落幕,江苏省产业技术研究院先进能源材料与应用技术研究所"氢燃料电池电动两轮车"项目在259个项目中脱颖而出,荣获创新创业大赛一等奖.     

电动自行车的使用及保养秘籍

电动自行车作为一种新型的交通工具,因环保节能的特点,受到越来越多的朋友的青睐。但是一辆好一点的电动自行车价格一般都要1000元至2000元,不算太便宜。所以合理的使用与保养电动自行车,对于大多数朋友还是很重要的(毕竟买电动自行车的都不是富人)。     

动向

正杭州出台2016年新能源车推广补助办法6月8日,杭州市财政局、市经信委、市建委、市交通局、市发改委和市科委等六部门联合印发了《杭州市2016年新能源汽车推广应用地方配套补助办法》,明确了补助车辆类型、申请条件、补助标准和申请程序。纯电动客车,按照国家补助标准,给予1:1的配套补助;纯电动、插电式混合动力等专用车和货车,按电池容量每千瓦时补助900元,每辆车补助最高2万元,非经营的专用车不受此限;纯电动乘用车给予3万元补助,插电式混合动力乘用车给予2万元的补助;燃料电池车,按照国家补助标准,给予1:1的     

福田欧辉:重塑客车生态 “氢”领新时代

<正>风口下的氢燃料电池产业能否重演锂电池"疯狂"?氢燃料电池的春天还远吗?10月18日,习近平总书记在中国共产党第十九次全国代表大会(以下简称"十九大")报告中提出:"创新是引领发展的第一动力,是建设现代化经济体系的战略支撑。要瞄准世界科技前沿,强化基础研究,实现前瞻性基础研究、引领性原创成果重大突破。"新一轮的创新革命即将被引爆,中国客车处在技术革命的"十字路口",     

威德:苦练内功面对无垠市场

在5月6日的上海客车展上,记者见到威德车业部件有限公司总经理岑晓武。谈起20天以前的上海世博科技·新能源车交车仪式,岑晓武仍然记忆犹新,宛若昨日。4月15日,上海世博会纯电动、混合动力、燃料电池等1017辆各类新能源车辆示范运营正式启动,威德电涡流缓速     

Estimating cycleway capacity and bicycle equivalent unit for electric bicycles

With the rapid increase of electric bicycles (E-bikes) in China, the heterogeneous bicycle traffic flow comprising regular bicycles and E-bikes using shared cycleway creates issues in terms of efficiency as well as safety. Capacity and bicycle equivalent units (BEUs) for E-bikes are two most important parameters for the planning, design, operation, and management of bicycle facilities. In this paper, eight traffic flow fundamental diagrams are developed for one-way cycleway capacity estimation, and a novel BEU estimation model is also proposed. Eleven datasets from different shared cycleway sections with different cycleway widths were collected in Hangzhou, China for estimation and evaluation purposes. The results indicate that, with around 70% share of E-bikes, the mean estimated capacity is 2348 bicycle/h/m. The effects on the capacity of the proportions of E-bikes, gender of cyclists, age of cyclists, and cyclists carrying things were also analyzed. The results implied that the estimated capacity is independent of a cyclist’s gender and age, but increases with the proportion of E-bikes. According to this study, the mean BEU for the E-bike is 0.66, and the converted capacities of pure regular bicycles and pure E-bikes are 1800 and 2727 bicycle/h/m, respectively. These findings can be used to propose practical countermeasures to improve the capacity of heterogeneous bicycle traffic flow on shared cycleway.     

Well-to-wheel analysis for electric, diesel and hydrogen traction for railways

This paper derives the energy efficiencies and CO₂ emissions for electric, diesel and hydrogen traction for railway vehicles on a well-to-wheel basis, using the low heating value and high heating value of the enthalpy of oxidation of the fuel. The tank-to-wheel and well-to-tank efficiency are determined. Gaseous hydrogen has a WTW efficiency of 25% low heating value, if produced from methane and used in a fuel cell. This efficiency is similar to diesel and electric traction in the UK, US, and California. A reduction of about 19% in CO₂ is achieved when hydrogen gas is used in a fuel cell compared to diesel traction, and a 3% reduction compared to US electricity.     

电力推进技术在渡船中的应用

近年来,国家陆续出台了关于长江生态保护的相关文件。随着电力推进技术在节能减排方面的优势显现,常规动力渡船存在的问题显而易见,如较长传动轴增加了能量损耗,降低了能源效率;柴油机的响应较慢,影响船舶的机动性;柴油机的燃烧不充分导致燃油的过多消耗,以及柴油机直驱渡船的动力推进装置占据了机舱的大部分空间。本文结合电力推进渡船的应用情况,针对上述常规推进渡船的缺点,对船舶动力系统进行了改进,采用全回转电力推进取代原先柴油机直驱,电站采用高压共轨电喷式柴油机带动发电机发电,经整流实现直流组网后,统一为全船提供动力和日常用电。     

Effects of e-bikes on bicycle use and mode share

In Norway, as in many countries, a political goal is to increase bicycle use, and the e-bike is promising in this respect. However, concerns have been raised about mode-share effects. It has been argued that if the e-bike’s only function is in cycling becoming cycling with electric assistance, there would be no benefit to either the environment or public health. Little is yet known about the use of the e-bike, or of its potential in reducing motorized travel. In the current study, 66 randomly selected participants were given an e-bike to use for a limited period of time and the results compared with those of a control group (N = 160). E-bike cycling trips increased from 0.9 to 1.4 per day, distance from 4.8 km to 10.3 km and, as a share of all transport, from 28% to 48%, whereas with the control group there was no increase in cycling. The effect of the e-bike increased with time, indicating a learning effect among users, and was greater for female than for male cyclists. There were no differences with age. Overall, the results suggest that the e-bike is indeed practical for everyday travel.     

The implications of using hydrocarbon fuels to generate electricity for hydrogen fuel powered automobiles on electrical capital,hydrocarbon consumption,and anthropogenic emissions

This paper considers some of the impacts of adopting hydrogen fuel cell powered electric automobiles in the US. The change will need significant adjustments to the electrical generation industry including additional capital and hydrocarbon fuel consumption as well as impacting anthropogenic greenhouse emissions. Examining the use of three fuels to generate hydrogen fuels, using three production methods, distributed in three geographic scenarios, we determine that while the change reduces anthropogenic greenhouse emissions with minimal additional electrical generation capital expenditures, it accelerates the use of natural gas. Electrolysis provides a sustainable, longer-term solution, but requires more capital investment in electrical generation and yields an increase in anthropogenic greenhouse emissions.     

Modeling the effects of congestion on fuel economy for advanced power train vehicles

Fuel-speed curves (FSC) are used to account for the aggregate effects of congestion on fuel consumption in transportation scenario analysis. This paper presents plausible FSC for conventional internal combustion engine (ICE) vehicles and for advanced vehicles such as hybrid electric vehicles, fully electric vehicles (EVs), and fuel cell vehicles (FCVs) using a fuel consumption model with transient driving schedules and a set of 145 hypothetical vehicles. The FSC shapes show that advanced power train vehicles are expected to maintain fuel economy (FE) in congestion better than ICE vehicles, and FE can even improve for EV and FCV in freeway congestion. In order to implement these FSC for long-range scenario modeling, a bounded approach is presented which uses a single congestion sensitivity parameter. The results in this paper will assist analysis of the roles that vehicle technology and congestion mitigation can play in reducing fuel consumption and greenhouse gas emissions from motor vehicles.     

A tool to optimize the initial distribution of hydrogen filling stations

An important barrier towards the introduction of fuel cell vehicles running on hydrogen is the lack of widespread refueling infrastructure. The niche of buses for public transport, taxis and deliverers with a local application area might not be large enough to generate the reductions of fuel cell vehicle costs that are necessary for a general technology switch. Thus, fuel availability at trunk roads probably plays a crucial role in generating demand for these also from private consumers. In this paper, we assume that consumers are more likely to consider buying a fuel cell vehicle the more frequently they are exposed to hydrogen refueling opportunities on long distant trips. We introduce a tool to test different small-scale initial distributions of hydrogen outlets within the German trunk road system for their potential success to generate a large-scale adoption of fuel cell vehicles. The tool makes use of agent-based trip modeling and geographic information system supported spatial modeling. We demonstrate its potentials by testing a ring shaped distribution of hydrogen outlets at highway filling stations. We find that the structure of an optimized initial distribution of filling stations depends on what drivers consider a sufficiently small distance between refueling opportunities.     

Spontaneous emergence versus technology management in sustainable mobility transitions: Electric bicycles in China

This paper describes and seeks to understand the scale of the electric bicycle (electric two-wheeler) market in China, and to begin to explain its emergence with a view to outlining the prospects for learning from this case for applications in other countries around the world. Drawing on secondary data from Chinese government sources, electric bicycle industry websites, Chinese media sites and other sources, this exploratory paper positions the development of the electric bicycle market as occurring largely in the absence of positive policy intervention – in stark contrast to the nurturing afforded the electric car sector world-wide. The paper develops a multi-scalar perspective of transitions theory in an institutional setting, with examples drawn from Beijing and Fuzhou, to explain the processes of change outside of the traditional reference context of technology policy and management. It is concluded that transitions theory has a greater flexibility and adaptability as an explanatory framework than previously shown, but empirically the electric two-wheeler is a weakly-embedded alternative to mainstream automobility.     

A choice experiment on alternative fuel vehicle preferences of private car owners in the Netherlands

This paper presents results of an online stated choice experiment on preferences of Dutch private car owners for alternative fuel vehicles (AFVs) and their characteristics. Results show that negative preferences for alternative fuel vehicles are large, especially for the electric and fuel cell car, mostly as a result of their limited driving range and considerable refueling times. Preference for AFVs increases considerably with improvements on driving range, refueling time and fuel availability. Negative AFV preferences remain, however, also with substantial improvements in AFV characteristics; the remaining willingness to accept is on average € 10,000–€ 20,000 per AFV. Results from a mixed logit model show that consumer preferences for AFVs and AFV characteristics are heterogeneous to a large extent, in particular for the electric car, additional detour time and fuel time for the electric and fuel cell car. An interaction model reveals that annual mileage is by far the most important factor that determines heterogeneity in preferences for the electric and fuel cell car. When annual mileage increases, the preference for electric and fuel cell cars decreases substantially, whilst the willingness to pay for driving range increases substantially. Other variables such as using the car for holidays abroad and the daily commute also appear to be relevant for car choice.     

Forward power-train energy management modeling for assessing benefits of integrating predictive traffic data into plug-in-hybrid electric vehicles

In this paper, a forward power-train plug-in hybrid electric vehicle model with an energy management system and a cycle optimization algorithm is evaluated for energy efficiency. Using wirelessly communicated predictive traffic data for vehicles in a roadway network, as envisioned in intelligent transportation systems, traffic prediction cycles are optimized using a cycle optimization strategy. This resulted in a 56-86% fuel efficiency improvements for conventional vehicles. When combined with the plug-in hybrid electric vehicle power management system, about 115% energy efficiency improvements were achieved. Further improvements in the overall energy efficiency of the network were achieved with increased penetration rates of the intelligent transportation assisted enabled plug-in hybrid electric vehicles.