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Statistically supported real driving emission calibration: Using cycle generation to provide vehicle-specific and statistically representative test scenarios for Euro 7
International Journal of Engine Research ( IF 2.2 ) Pub Date : 2020-07-10 , DOI: 10.1177/1468087420935221
Johannes Claßen 1 , Stefan Pischinger 1 , Sascha Krysmon 1 , Stefan Sterlepper 1 , Frank Dorscheidt 1 , Matthieu Doucet 2 , Christoph Reuber 2 , Michael Görgen 2 , Johannes Scharf 2 , Martin Nijs 2 , Silja Christine Thewes 2
Affiliation  

The progression of emission legislation has intensified the efforts of the automotive industry to develop improved exhaust gas after-treatment systems. The requirement to fulfill Euro 6d-TEMP in real-world driving scenarios, the already significant calibration effort for Euro 6d and the Euro 7 emission standards in discussion have significantly increased the work load for calibration engineers and the requirements for testing resources. Many original equipment manufacturers are implementing taskforces in order not to have to discard the planned start of production for their products, and some are even already forced to reduce their product portfolio. This is due to the diverse testing matrix required to cover all possible real driving emissions test scenarios. One big challenge is the extension and possible variation of boundary conditions regarding ambient temperatures, traffic conditions, road gradients and other varying driving resistances. Moreover, the test duration can cause considerable differences in the measured emissions, even if the same route is driven repeatedly. Addressing these challenges makes the application of a dedicated, event-targeted emission calibration mandatory. Since only a few sequences of the time-consuming road tests are relevant for improving the emission calibration, the methodology presented in this article focuses on the exact reproduction of these emission events on an emission chassis dynamometer with the aim of implementing calibratable solutions for these events. This is done using a real driving emission-cycle-generator which creates real driving emission compliant severe test scenarios and which focuses on the statistical relevance related to the typical product specific operation. The underlying generation process accesses a large database with real driving emission measurement results focusing on vehicle- or vehicle-group-specific challenges, using statistical approaches. It will be demonstrated how this procedure reduces test time and how it helps to tackle the substantial real driving emission work-load, while providing a dependable base to achieve real driving emission legislation compliance.

中文翻译:

统计支持的实际驾驶排放校准:使用循环生成为 Euro 7 提供特定于车辆和具有统计代表性的测试场景

排放立法的进展加强了汽车工业开发改进的废气后处理系统的努力。在实际驾驶场景中满足 Euro 6d-TEMP 的要求,已经在讨论中的 Euro 6d 和 Euro 7 排放标准的大量校准工作显着增加了校准工程师的工作量和对测试资源的要求。许多原始设备制造商正在实施工作组,以免放弃其产品的计划开始生产,有些甚至已经被迫减少产品组合。这是由于涵盖所有可能的实际驾驶排放测试场景所需的各种测试矩阵。一大挑战是关于环境温度、交通条件、道路坡度和其他不同驾驶阻力的边界条件的扩展和可能的变化。此外,即使重复行驶相同的路线,测试持续时间也会导致测量的排放量出现相当大的差异。为了应对这些挑战,必须应用专门的、针对事件的排放校准。由于只有少数耗时的道路测试序列与改进排放校准相关,本文中介绍的方法侧重于在排放底盘测功机上准确再现这些排放事件,目的是为这些事件实施可校准的解决方案. 这是使用真实驾驶排放循环生成器完成的,该生成器创建符合真实驾驶排放标准的严格测试场景,并侧重于与典型产品特定操作相关的统计相关性。底层生成过程使用统计方法访问包含真实驾驶排放测量结果的大型数据库,重点关注特定于车辆或车辆组的挑战。将演示此程序如何减少测试时间以及它如何帮助解决大量的实际驾驶排放工作负荷,同时为实现真正的驾驶排放法规合规性提供可靠的基础。底层生成过程使用统计方法访问包含真实驾驶排放测量结果的大型数据库,重点关注特定于车辆或车辆组的挑战。将演示此程序如何减少测试时间以及它如何帮助解决大量的实际驾驶排放工作负荷,同时为实现真正的驾驶排放法规合规性提供可靠的基础。底层生成过程使用统计方法访问包含实际驾驶排放测量结果的大型数据库,重点关注特定于车辆或车辆组的挑战。将演示此程序如何减少测试时间以及它如何帮助解决大量的实际驾驶排放工作负荷,同时为实现真正的驾驶排放法规合规性提供可靠的基础。
更新日期:2020-07-10
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