首页> 外文会议>SAE World congress;Modeling of SI and diesel engines session >Complex Systems Method Applied to Identify Carbon Dioxide Emission Reductions for Light-Duty Vehicles for the 2020-2025 Timeframe
【24h】

Complex Systems Method Applied to Identify Carbon Dioxide Emission Reductions for Light-Duty Vehicles for the 2020-2025 Timeframe

机译:用于识别2020-2025年轻型车辆二氧化碳排放量减少的复杂系统方法

获取原文

摘要

The U.S. Environmental Protection Agency, U.S. Department of Transportation's National Highway and Traffic Safety Administration, and the California Air Resources Board have recently released proposed new regulations for greenhouse gas emissions and fuel economy for light-duty vehicles and trucks in model years 2017-2025. These proposed regulations intend to significantly reduce greenhouse gas emissions and increase fleet fuel economy from current levels. At the fleet level, these rules the proposed regulations represent a 50% reduction in greenhouse gas emissions by new vehicles in 2025 compared to current fleet levels. At the same time, global growth, especially in developing economies, should continue to drive demand for crude oil and may lead to further fuel price increases. Both of these trends will therefore require light duty vehicles (LDV) to significantly improve their greenhouse gas emissions over the next 5-15 years to meet regulatory requirements and customer demand, In this paper, technology pathways leading to improved light-duty vehicle fuel consumption are described as well as the complex systems methodology used to assess future technology combinations. The complex systems methodology described here was initially developed by Ricardo for use by the U.S. EPA to analyze the effectiveness of future light-duty vehicle and truck technologies. The complex systems methodology first defines the major vehicle systems, such as powertrain configuration, engine, transmission, and other vehicle parameters, such as vehicle road load, that constitute the design space of the study. The design space is then efficiently sampled using a Design of Experiments (DoE) methodology, and the results are synthesized into a parametric model that can be used to efficiently assess benefits of single configurations or groups of configurations within the vehicle design space. Estimates of future fuel economy results for various vehicle configurations, and the influence of technology package development are also presented; however, the emphasis of this paper is on the tool and the methodology. For a description of the actual application of this tool in support of the model years 2017-2025 light duty greenhouse gas and fuel economy proposal, the reader is referred to the Proposed Rule [1].
机译:美国环境保护署,美国运输部国家公路和交通安全管理局以及加利福尼亚州空气资源委员会最近发布了拟议的2017-2025款轻型车辆和卡车温室气体排放和燃油经济性的新规定。这些拟议的法规旨在从目前的水平上显着减少温室气体排放并提高车队燃料经济性。在车队一级,这些规则提议的法规表示,到2025年,新车的温室气体排放量将比目前的车队水平减少50%。同时,全球增长,特别是在发展中经济体中,应继续推动对原油的需求,并可能导致燃料价格进一步上涨。因此,这两种趋势都将要求轻型车辆(LDV)在未来5至15年内显着改善其温室气体排放,以满足法规要求和客户需求。描述以及用于评估未来技术组合的复杂系统方法。此处所述的复杂系统方法是Ricardo最初开发的,供美国EPA使用,以分析未来轻型车辆和卡车技术的有效性。复杂的系统方法首先定义了构成研究设计空间的主要车辆系统,例如动力总成配置,发动机,变速器和其他车辆参数(例如车辆道路负载)。然后使用实验设计(DoE)方法对设计空间进行有效采样,并将结果合成为参数模型,该模型可用于有效评估车辆设计空间内单个配置或配置组的收益。还介绍了各种车辆配置对未来燃油经济性结果的估计,以及技术包开发的影响。但是,本文的重点是工具和方法论。有关此工具为支持2017-2025年模型型轻型温室气体和燃料经济性提案的实际应用的说明,请参阅“拟议规则” [1]。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号