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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Pure Electric Vehicles (PEV) is an important research direction to solve the problems of auto environment and energy sources.Research double close-loop control system of PEV driven by Brushless Direct Current Motor (BLDCM) has the practical value.Traditional PID controllers have some advantages of being simple,reliable and effective for linear systems,but not for time-varying systems or highly non-linear systems.In order to improve the performances in both steady state and transient state of control system,an Adaptive Fuzzy PID Controller (AFPIDC) can be employed.The dynamic model of PEV and the mathematic model of BLDCM can be analyzed and established.Simulation model of Speed and Current Double Close-Loop Control System are implemented by MatlabT.0/simulink.The simulation results show that the system has rapid response,without static error and overshoot,good performance and strong robustness,high capacity of resisting disturbance.

关键词：纯电动汽车（PEV）；无刷直流电动机（BLDCM）；自适应模糊PID控制器（AFPIDC）；模拟

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Fuel cell electric vehicles (FCEV) have gone through a rapid development in recent years with progress on each of the steps from research to deployment to validation. Many believe they will be an integral element to reducing pollution and green house gasses and achieving better energy security as there is global pressure to reduce fossil fuel consumption. Production and delivery of hydrogen is vital to commercialization of FCEVs. Currently about 95of the hydrogen produced in the U.S. is made by steam methane reforming of natural gas. However, renewable production of hydrogen using electricity from wind, solar, or other renewable sources could be an important fuel pathway for control of regional air pollution and national greenhouse gas emissions. As a case study we have chosen the Los Angeles (LA) area because of the California history of regulations and initiatives that target air pollution and greenhouse gas emissions and specifically seek to promote hydrogen as a transportation fuel. California regions (LA, San Francisco/Sacramento) lead the U.S. in the 2015 planned commercial deployment of FCEVs by a number of major manufacturers. In 2006, the California Senate passed Bill 1505 (SB 1505) which mandates the California Air Resource Board (CARB) to set environmental standards for hydrogen production. A specific criterion of SB 1505 alongside reducing fuel carbon intensity and certain particulates is that a third of hydrogen must be produced by eligible renewable energy sources. It is estimated that the zero emission vehicle (ZEV) mandate will require 50 100 hydrogen refueling stations by 2017 to accommodate FCEV and hydrogen bus deployments.

关键词：风能；直接能量转换；电动汽车；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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Integrating large-scale renewable energy sources and electric vehicles into the power grid, Smart Charging and Vehicle-to-Grid of the electric vehicles play an important role for supply and demand matching in the power grid. The integrated control schemes considering the vehicle user's convenience, battery condition during the idle time, and grid-friendly contribution, have been designed. It is also important to implement the control schemes into the commercial electric vehicle and its supply equipment. This paper describes a laboratory test system of Smart Grid and E-Mobility consisted by an electric vehicle battery test bed, a bi-directional controllable charger, an interface controller with flexibility in communication and control, and a real-time digital simulator. Communication and control functions of each component are confirmed through fundamental experiments, and the load frequency control schemes are implemented to the system.

关键词：电力系统；电动车；供水设备；负荷频率控制

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The American transportation landscape is changing. Americans, especially young people, are driving less for the first time in recorded history, and this trend is expected to continue in the foreseeable future (Davis and Baxandall 2013). This shift has been accompanied by a corresponding increase in popularity of alternative transportation models such as carsharing and ridesharing (Shaheen 2013). Presently, these models only focus on dense urban areas, and current research (Martin and Shaheen 2011) suggests that carsharing and ridesharing programs work best when paired with existing public transportation infrastructure. However, large suburban master planned communities (MPCs) are also increasing in popularity in the United States (Spivak 2012), and the majority of these communities have limited transit options (Mercedes-Benz R&D North America). We explored opportunities for new transportation solutions in these large communities by evaluating existing solutions, interviewing potential users, and analyzing interview and survey data from residents in a specific community. We found that there is an unmet need for a shared transportation solution in a large MPC and designed and implemented a mobile application to demonstrate such a solution. Our application has comparable performance, functionality, and ease of use to other transportation applications and, once implemented, will help residents save time, money, and the environment.

关键词：汽车;Web应用程序;流动性解决方案

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This report documents the study of baseline sensor technology for enabling condition based maintenance plus in Army ground vehicles. The sensor study was driven from Failure Mode Effects Analysis (FMEA) conducted on four high cost driver components in Army ground vehicles by Tank Automotive Research, Development and Engineering Center (TARDEC). The four high cost driver components in Army ground vehicles as identified by TARDEC are engines, transmissions, batteries, and alternators. This report provides an assessment of current ground vehicle sensor systems and new baseline sensor technologies that may be used to support prognostic/diagnostic fault mode coverage including structural and component health monitoring for enabling condition based maintenance plus (CBM +) strategies to increase the operational availability of Army ground vehicles.

关键词：传感器；维护；汽车零部件；蓄电池；结构特性

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The article proposes a vehicle lane positioning technique based on joint frequency difference of arrival (FDOA) and time difference of arrival (TDOA) principle by measuring Doppler frequency, and derives possible solutions. The vehicle sensor measures the incoming RF signals from a reference emitter at time delayed locations and utilizes the characteristics of this downlink communications to accurately determine the frequency offset as well as time stamp of the packet. The article also addresses the limitations of the technique such as velocity vector estimations at measurement locations and offers possible solutions including Bayesian and triangulation estimation.

关键词：传感器；全球定位系统；通信；射频系统

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An electrical vehicle environment was established to promote research and technology development in the area of high power energy management. The project incorporates a topology that permits parallel development of an alternative energy delivery system and an energy storage system. The objective of the project is to develop technologies, specifically power electronics, energy storage electronics and controls that provide efficient and effective energy management between electrically powered devices in alternative energy vehicles--plug-in electric vehicles, hybrid vehicles, range extended vehicles, and hydrogen-based fuel cell vehicles. In order to meet the project objectives, the Vehicle Energy Management System (VEMS) was defined and subsystem requirements were obtained. Afterwards, power electronics, energy storage electronics and controls were designed. Finally, these subsystems were built, tested individually, and integrated into an electric vehicle system to evaluate and optimize the subsystems performance.

关键词：新能源与高效节能；储能技术；能源管理；燃料电池

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We conducted a vehicle analysis to assess the feasibility of thermoelectric technology for waste heat recovery and conversion to useful electrical power and found that eliminating the 500 W of electrical power generated by the alternator corresponded to about a 7increase in fuel economy (FE) for a small car and about 6for a full size truck. Electric power targets of 300 W were established for city and highway driving cycles for this project. We obtained critical vehicle level information for these driving cycles that enabled a highlevel design and performance analysis of radiator and exhaust gas thermoelectric subsystems for several potential vehicle platforms, and we identified the location and geometric envelopes of the radiator and exhaust gas thermoelectric subsystems. Based on this analysis, we selected the Chevrolet Suburban as the most suitable demonstration vehicle for this project. Our modeling and thermal analysis assessment of a radiator-based thermoelectric generator (TEG), however, revealed severe practical limitations.

关键词：新能源与高效节能；余热回收；电力废气；燃油经济性；绩效评价

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