• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IFAC PapersOnLine >Optimal supervisory control of a Diesel HEV taking into account both DOC and SCR efficiencies
【24h】

Optimal supervisory control of a Diesel HEV taking into account both DOC and SCR efficiencies

机译：同时考虑DOC和SCR效率的柴油HEV的最佳监督控制

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Car builders are facing restrictions on both fuel consumption (FC) and pollutant emissions. In this context, Diesel Hybrid Electric Vehicles (HEV) are an interesting solution since they are more fuel-efficient than their gasoline-powered counterparts. However, Diesel pollutants remain a concern as, despite the fact that particulate emissions are treated by the Diesel Particulate Filter (DPF), tailpipe NOx emissions are still problematic. Previous works have shown that a better FC to pollutants trade-off can be achieved if the Energy and Emissions Management Strategy (EEMS) of the HEV includes the pollutants downstream an After-Treatment System (ATS). For Diesel HEV, a previous approach which took into account the Selective Catalytic Reduction (SCR) has been applied. This paper aims to find a better trade-off by adding the Diesel Oxidation Catalyst’s (DOC) influence on the SCR’s efficiency. Consequently, three EEMS taking into account more or fewer ATS are calculated with the Dynamic Programming (DP) algorithm on the Worldwide Light vehicle Test Cycle (WLTC). Hence, each strategy is applied to the full energy and emission model in order to deduce a fuel consumption to tailpipe NOx tradeoff. The tradeoffs for each strategy are compared. As a result, all the strategies can reduce NOx emissions by 30% with a FC penalty of 3%. In addition, the three EEMS have shown similar FC/tailpipe NOx trade-offs but the EEMS that took ATS into account were able to produce 3% more engine-out NOx than the strategy with no ATS. To ensure the optimality of the solutions, the impact of the states’ discretization in the DP algorithm is investigated. Despite a high discretization level for each state, the SCR’s temperature variation is still over-approximated and might underestimate the benefit of a strategy considering the complete Diesel ATS.
机译：汽车制造商在燃料消耗（FC）和污染物排放方面都面临限制。在这种情况下，柴油混合动力汽车（HEV）是一种有趣的解决方案，因为它们比汽油动力同类产品具有更高的燃油效率。然而，柴油污染物仍是一个令人担忧的问题，因为尽管通过柴油机微粒过滤器（DPF）处理了微粒排放，但尾气NOx排放仍然存在问题。以前的工作表明，如果混合动力汽车的能源和排放管理策略（EEMS）在后处理系统（ATS）的下游包含污染物，则可以实现更好的FC与污染物的权衡。对于柴油混合动力汽车，以前的方法已经考虑了选择性催化还原（SCR）。本文旨在通过增加柴油氧化催化剂（DOC）对SCR效率的影响来找到更好的折衷方案。因此，在全球轻型车辆测试周期（WLTC）上使用动态编程（DP）算法计算了考虑到更多或更少ATS的三个EEMS。因此，每种策略都适用于完整的能源和排放模型，以便推断出燃料消耗与尾气NOx的权衡。比较每种策略的权衡。结果，所有策略都可以将NOx排放量减少30％，而FC罚款为3％。此外，这三个EEMS表现出相似的FC /尾气NOx折衷，但考虑到ATS的EEMS能够比没有ATS的策略多生产3％的发动机排出NOx。为了确保解决方案的最优性，研究了状态离散化对DP算法的影响。尽管每个州的离散程度很高，但SCR的温度变化仍然过高，可能会低估考虑使用完整柴油ATS的策略的优势。

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