Experimental and Simulation Study of Zero Flow Impact on Hybrid Vehicle Emissions

Valesia Emmanouil, Grigorios Koltsakis, Costas Kotoulas
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Abstract

Combustion engines in hybrid vehicles start and shut off several times during a typical passenger car trip. Each engine restart may pose a risk of excessive tailpipe emissions in real-drive conditions if the after-treatment system fails to maintain an adequate temperature level during engine off mode. In view of the tightening worldwide tailpipe emissions standards and real-world conformity requirements, it is important to detect and resolve such risks via reliable and cost-effective engineering tools that can perform accurate analysis of the thermal and chemical behavior of exhaust systems. In this work, we present a catalyst model that predicts the 3D thermal and chemical behavior under normal and zero flow conditions. Particular emphasis is given to the phenomena of free convection and thermal radiation dominating the heat transfer at zero flow. Next, we examine the impact of zero-flow duration on the exhaust system temperature and subsequent emissions risk and we validate the obtained results with respective measurements from experimental tests. Overall, the model can accurately predict the temperature distribution inside the catalyst and tail pipe emissions, under a broad range of operating conditions. The model can subsequently be used to study several scenarios of vehicle hybridization schemes, as well as techniques to minimize the risk of zero flow operation by proper system design and control.
零流量对混合动力汽车尾气排放影响的实验和模拟研究
在典型的乘用车行驶过程中,混合动力汽车的内燃机会多次启动和关闭。如果后处理系统在发动机关闭模式下不能保持足够的温度水平,那么每次发动机重启都可能会在实际驾驶条件下造成尾气排放超标的风险。鉴于全球尾气排放标准和现实世界的合规性要求不断收紧,通过可靠且经济高效的工程工具来检测和解决此类风险非常重要,这些工具可以对排气系统的热和化学特性进行精确分析。在这项工作中,我们提出了一种催化剂模型,可预测正常和零流量条件下的三维热和化学行为。我们特别强调了自由对流和热辐射在零流量时主导热传递的现象。接下来,我们研究了零流量持续时间对排气系统温度和后续排放风险的影响,并将获得的结果与实验测试的相应测量结果进行了验证。总之,该模型可以在各种运行条件下准确预测催化剂内部的温度分布和尾气排放。随后,该模型可用于研究汽车混合动力方案的多种情况,以及通过适当的系统设计和控制将零流量运行风险降至最低的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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