关键词：汽车；车轮标准法规；日趋严格

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关键词：长春国际车展；闭幕；成交额42亿元；产业方向

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新能源汽车在未来将会成为汽车产业的研究主体，而电动汽车又将会是其中的重点。现下，由于纯电动汽车的动力源（蓄电池）问题无法很好地解决；因此，太阳能增程电动车的应用将会为电动车蓄能提供保证。

关键词：新能源；太阳能；增程式；汽车

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The need for high energy density electrical power sources for the soldier could be met with portable fuel cells and on-demand production of hydrogen from ubiquitous logistical fuels like JP-8. Microplasma (plasma contained in sub-mm volumes) reforming is an exciting prospect since it eliminates the drawbacks of catalysts and offers the promise of efficient chemical processing in a compact form. This project seeks to determine the feasibility of microplasma reforming as an effective means of hydrogen production to support compact fuel cells for soldier power. This experimental study exposes various hydrocarbons that are representative of key compounds in JP-8 to microplasma conditions, and evaluates the effectiveness of the extraction of hydrogen from the feed. Detailed experiments permit the determination of conversion of hydrocarbons under various microplasma conditions. Effective models permit understanding of the mechanisms.

关键词：喷气发动机燃料;等离子体（物理）;催化剂燃料电池

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Space Vector Pulse Width Modulation (SVPWM) technique is one of the best method of PWM variable frequency drive and make the AC motor achieving the performance as good as DC motor.Permanent Magnet Synchronous Motor (PMSM) has many advantages of small volume,steady operation,high energy efficiency,large output torque,etc.To solve the problems of auto environment and energy sources,study on Pure Electric Vehicles (PEV) driven by PMSM based on SVPWM is an important research direction and has the practical value.On the basis of analyzing the basic models of SVPWM,PMSM and PEV,simulation model of PMSM Control System for PEV can be constructed.The results of the simulation show that the control system has super performance and meet the request of system.

关键词：空间矢量脉宽调制（SVPWM）；永磁同步电机（PMSM）；纯电动汽车（PEV）；模拟

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The current scarcity of public charging infrastructure is one of the major barriers to mass household adoption of plug-in electric vehicles (PEVs). Although most PEV drivers can recharge their vehicles at home, the limited driving range of the vehicles restricts their usefulness for long-distance travel. In this paper, an agent-based information system is presented for identifying patterns in residential PEV ownership and driving activities to enable strategic deployment of new charging infrastructure. Driver agents consider their own driving activities within the simulated environment, in addition to the presence of charging stations and the vehicle ownership of others in their social network, when purchasing a new vehicle. Aside from conventional vehicles, drivers may select among multiple electric alternatives, including two PEV options. The Chicagoland area is used as a case study to demonstrate the different deployment scenarios are analyzed.

关键词：电动车;电动收费;信息系统;机动车驾驶

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This report will provide a final summary of project accomplishments, emphasizing those of approximately the past year of the project. Annual reports previously submitted to AFOSR are incorporated herein by reference. Most recently, we used DNA microarray analyses to characterize stress responses of wild-type Synechocystis sp. PCC 6803 cells encapsulated in different gel formulations. We also characterized photosynthetic activity, encapsulation protocols, and hydrogen production from photoantennae mutants of Synechocystis sp. PCC 6803.In addition, we continued exploring the diffusion of dissolved ions encapsulated in silica gel.

关键词：藻类;太阳能;制氢封装;基因表达;微生物;光合作用

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Compressed natural gas (CNG) automobile is an emerging new energy car.How to control gas injection is the key technology of CNG electronic control system.At present,the control based on the MAP graph is used usually,but this control method has some shortages,for example larger data,poor adaptive capacity and difficulties in data updating.BP neural network control has adaptive and self-learning,nonlinear processing ability and high generalization,and faults tolerant ability in processing information.In this paper,BP neural network is used to control natural gas injection in order to solve the shortage of the MAP picture control.Simulation experiment shows thefeasibility and advantage of this method.

关键词：压缩天然气汽车;注气; BP神经网络; MATLAB仿真

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The Energy & Environmental Research Center (EERC) has developed a high-pressure hydrogen production system that reforms a liquid organic feedstock and water at operating pressures up to 800 bar (approx. 12,000 psig). The advantages of this system include the elimination of energy-intensive hydrogen compression, a smaller process footprint, and the elimination of gaseous or liquid hydrogen transport. This system could also potentially enable distributed hydrogen production from centralized coal. Processes have been investigated to gasify coal and then convert the syngas into alcohol or alkanes. These alcohols and alkanes could then be easily transported in bulk to distributed high-pressure water-reforming (HPWR)-based systems to deliver hydrogen economically. The intent of this activity was to utilize the EERC's existing HPWR hydrogen production process, previously designed and constructed in a prior project phase, as a basis to improve operational and production performance of an existing demonstration unit. Parameters to be pursued included higher hydrogen delivery pressure, higher hydrogen production rates, and the ability to refill within a 5-minute time frame.

关键词：制氢；燃料电池；汽车；醇类；烷烃

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The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.

关键词：制氢；能源系统；先进的推进系统；仿真

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