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报告分类:外文技术报告 检索词:汽车

  • 81.基于整合某种专门车辆电源和控制器区域网络总线技术的燃料消耗预测模型的可行性研究

    [汽车制造业] [2015-07-24]

    With the development of automobile technology, it becomes possible to estimate fuel consumption by using the driving parameters from the electronic control unit (ECU) and output the calculation results via the controller area network (CAN) bus. As a result, it is feasible to design an approach for estimating fuel consumption by integrating vehicle-specific power (VSP) and CAN bus technology because of the accessibility and stability of the CAN bus. To determine whether the CAN-based measured data can be used to build the relationship between VSP and fuel consumption to replace the traditional fuel consumption meter, a comparison of fuel consumption data collected from the ECU and the fuel consumption meter is conducted in this study. Results show that the relationship between the fuel consumption rate and VSP bin built by the CAN bus data is consistent with the relationship derived from the fuel consumption meter; this finding indicates that the CAN bus technology can be used to describe the relationship between vehicle activities and fuel consumption rates for light-duty vehicles. In addition, a comparison of CAN-based measured data with VSP-based predicted data shows that the prediction approach that integrates VSP and CAN bus technology needs an aggregation level of 60 s or longer, which thus can be used to estimate a long period of fuel consumption accumulation and a fuel consumption factor for various travel speeds and road types.    
    关键词:汽车;燃料消耗;电源动力
  • 82.基于FPGA的高速并行卷积的编码器的设计

    [信息传输、软件和信息技术服务业] [2015-07-22]

    For the channel source of large capacity image data,the error correcting capability and coding efficiency of channel encoding is very important,in order to solve the real-time and parallel of encoding,a kind of code encoding method realized easily by FPGA is proposed.First,the coding principle of the convolutional code is introduced in detail; Secondly,the representation method of the convolutional encoder is elaborated,including the state transition diagram and the grid diagram of the convolutional code; Then,the convolutional encoding algorithm based on FPGA will be converting to achieve rapid,parallel processing method; Finally,(2,1,7) convolutional code algorithm is simulated and tested.The experimental results show that:the convolutionai encoding module is capable of handling the input data stream of up to 160Mbps,processing speed,to meet the parallel and real-time of convolutional encoding for the channel source of large capacity image data,to improve the efficiency ofconvolutional encoding.
    关键词:汽车;卷积码;网格图;编码效率; FPGA
  • 83.使用大豆生物柴油的柴油机性能比较

    [汽车制造业] [2015-07-22]

    Biodiesel as a renewable and environmentally friendly alternative fuel derived from natural fats or vegetable oils has better lubricating properties and much higher cetane ratings than today's lower sulfur diesel fuels.It is considered as an attractive alternative to replace diesel fuels.In order to investigate application ofbiodiesel on vehicle diesel engines,the power and fuel economies performances of a diesel fueled soybean biodiesel with different blending ratios were tested under different engine loads and speeds.Experimental results show that,compared with diesel fuel,with increase in the biodiesel in the blends,the brake power and torque,and the brake specific energy consumption increase but the fuel consumption per hour and brake specific fuel consumption decrease.
    关键词:汽车;柴油机;性能
  • 84.基于CAN/LIN总线的汽车灯光故障诊断设计

    [汽车制造业] [2015-07-22]

    Based on the research of the CAN/LIN bus communication protocol,an automobile lamps diagnostic system based on the CAN/LIN bus is designed.After the completion of the software and hardware designs of CAN nodes,LIN nodes and CAN/LIN nodes,the faults of automobile lamps can be successfully diagnosed.LIN node collects light switches and the gateway controls the car light's status via detecting the data frame on the LIN bus.The design and complementation of CAN node,LIN node and CAN/LIN gateway was finished,which made it possible to detect failures in vehicle.
    关键词:汽车;灯光设计;故障诊断
  • 85.基于BP神经网络的汽车悬架研究

    [汽车制造业] [2015-07-22]

    This article uses the application of artificial intelligence theory to research on the air suspension system,constructing the structure of control system,and the study of the neural network algorithm is simulation for its study of results.The fusion of fuzzy logic and neural network consist of the fuzzy neural network,which has the advantages of fuzzy logic and neural network.
    关键词:汽车;汽车悬架;BP
  • 86.智能车辆的全球路线规划方法

    [信息传输、软件和信息技术服务业,汽车制造业] [2015-07-22]

    A global route planning method for intelligent vehicle is presented here based on the comparison,selection and development of classic figure search algorithms.In addition,the effects of traffic signs in road network are also be considered in the method,so to insure that any traffic laws such as steering or passing through is violated.With the testing results,the method in the paper can decide an effective(or shortest distance) and legitimate global route for intelligent vehicle's driving guide,and the algorithm is running efficiently enough to meet the real time need when it should work temporarily during vehicle driving.
    关键词:汽车;智能汽车;路线规划
  • 87.基于模糊控制系统的发动机隔振山的应用

    [信息传输、软件和信息技术服务业,汽车制造业] [2015-07-22]

    An automobile power-train active mount system with a piezoelectric stack actuator is introduced.The influence caused by power-train to the body of the car is analyzed by means of parameter self-tuning fuzzy PID control,on which the simulating results are based.It turns out that this control scheme can restrain the influence better caused by power-train to the body of the car.
    关键词:汽车;发动机;模糊控制
  • 88.基于BP神经网络的CNG汽车的注气控制

    [汽车制造业] [2015-07-22]

    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:汽车;CNG汽车;注气控制
  • 89.消声器结构的大小对声学性能的影响研究

    [汽车制造业,计算机、通信和其他电子设备制造业] [2015-07-22]

    The dimention for muffler has great impact on the car engine.Based on software GAMBIT,GT-POWER,SYSNOISE,through comprehensively using finite element and boundary element method,simulating and analyzing the acoustic performance for the basic noise reduction unit,establishing the finite element model,comparing the frequency and noise reduction of different volume ratio of cavity and throat tube.Simulation analysis and experimental results show that the resonant structure parameters have a direct effect on its resonant frequency and noise reduction amount,the relationship characteristic between them is that the ratio more bigger,the requency and noise reduction amount more bigger,too.And draw the two relation formulas through calculation.
    关键词:汽车;消声器;声学
  • 90.NIOSH机动车安全中心:战略规划研究和预防2014-2018

    [汽车制造业] [2015-07-22]

    The risk of motor vehicle crashes (MVCs) associated with on-the-job operation of motor vehicles or exposure to road traffic hazards affects millions of workers in the United States, and this risk cuts across all industries and occupations. MVCs are consistently the leading cause of worker fatalities, affecting workers who drive all types of motor vehicles during their work day . passenger cars, heavy trucks, fire apparatus, and many others. A wide variety of interventions may be applied to prevent work-related MVCs: administrative controls such as seat belt policies, distracted-driving policies, pre-trip vehicle checks, driver training, reduced travel, and fatigue management; and engineering controls such as more crashworthy vehicles, advanced driver assistance systems, or active safety systems. Questions remain as to which are the most effective interventions to protect workers from risks of work-related MVCs. Through strategic planning, research, collaborations with stakeholders, and communication of research results and prevention, the National Institute for Occupational Safety and Health (NIOSH) is working to ensure that recommended solutions to prevent work-related MVCs and resulting injuries are based on sound research and are clearly communicated to employers and workers. The NIOSH Center for Motor Vehicle Safety (CMVS) is the focal point for activities within the Institute that address this pressing occupational safety problem. The CMVS was designated in December 2010 to strengthen and sustain the Institute's research and prevention activities to reduce work-related motor vehicle crashes and resulting injuries. It is a 'virtual' Center through which researchers from across the Institute and external partners from government, non-governmental organizations (NGOs), academia, labor, and industry bring complementary expertise to identify crash risk factors, develop and evaluate workplace interventions to prevent crashes, and communicate the results to employers and other stakeholders. The NIOSH CMVS is guided by the vision that: All workers who are exposed to hazards of motor vehicle traffic while working have the highest possible levels of protection from the risk of motor vehicle crashes and resulting injuries. The primary purpose of the 5-year strategic plan for the NIOSH CMVS is to define the priority areas for research and prevention initiatives through 2018.
    关键词:汽车;机动车安全;战略预防
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