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A simulation based approach for quantifying CO2 emissions of light duty vehicle fleets. A case study on WLTP introduction

机译:一种基于模拟的量化轻型车队二氧化碳排放的方法。 WLTP引入案例研究

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摘要

This paper presents a new technology-oriented modelling approach for assessing the effect of different technologies and fleet composition on energy consumption/CO2 emissions. The methodology follows a hybrid approach between a statistically founded instantaneous emission model and a complete vehicle-simulation model. It makes use of as limited information as possible referring mainly to already available data sources. It is split into two modules, the sampling module where individual vehicles are defined, each one corresponding to a real vehicle present in the fleet, and the simulation module where each vehicle is run in a predefined mission profile. The vehicle simulation model is based on simple longitudinal dynamics featuring an extended-Willans powertrain simulation module. The fleet “generator” module that selects and assigns vehicle characteristics per vehicle is based on existing databases and the annual CO2 emissions monitoring database new vehicle registrations in the European market. The implementation code is built so that several thousands of simulations are possible in limited time. In this example, the methodology is applied for assessing the introduction of the new Worldwide Harmonized Test (WLTP) protocol in the European light duty vehicle type approval procedure. A representative fleet of approx. 4,000 vehicles, model year 2013-2014, was defined and run over the existing and forth-coming type approval cycles. Results showed good correlation of fleet-wide predicted CO2 emissions against preliminary certification data for year 2014 that were used for validation. Following, the WLTP provisions were introduced and calculations were made with regard to the expected increases in average CO2 emissions of the new registrations with the new protocol.
机译:本文提出了一种新的面向技术的建模方法,用于评估不同技术和车队组成对能源消耗/ CO2排放的影响。该方法遵循统计建立的瞬时排放模型和完整的车辆模拟模型之间的混合方法。它主要参考已经可用的数据源来使用尽可能有限的信息。它分为两个模块,一个是定义单个车辆的采样模块,每个模块对应于车队中的真实车辆,另一个是模拟模块,其中每个车辆都以预定义的任务配置文件运行。车辆仿真模型基于简单的纵向动力学,并具有扩展的Willans动力总成仿真模块。车队“发电机”模块用于选择和分配每辆车的车辆特性,该模块基于欧洲市场上现有的数据库和年度CO2排放监测数据库中的新车注册。构建了实施代码,以便在有限的时间内进行数千次仿真。在此示例中,该方法用于评估在欧洲轻型车辆类型批准程序中新引入的全球协调测试(WLTP)协议的使用。约有代表性的机队。定义了4,000辆车(2013-2014车型年),并在现有和即将到来的类型批准周期内运行。结果表明,整个机队的预测CO2排放与用于验证的2014年初步认证数据具有良好的相关性。随后,引入了WLTP条款,并对新协议中新注册的平均CO2排放的预期增加进行了计算。

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