A skeletal gasoline flame ionization mechanism for combustion timing prediction on HCCI engines
A skeletal gasoline flame ionization mechanism for combustion timing prediction on HCCI engines
复制标题
用于 HCCI 发动机燃烧正时预测的汽油火焰离子化骨架机制
DOI：
10.1016/j.proci.2016.06.118
复制
发表时间：
2017-01-01
影响因子：
3.4
通讯作者：
Dibble, Robert
中科院分区：
文献类型：
--
作者：
Dong, Guangyu;Chen, Yulin;Dibble, Robert
离子电流感测技术具有成为用于HCCI或类HCCI发动机控制的低成本和真实的时间燃烧定相解决方案的潜力。基于燃料氧化机理和C1-C4碳氢化合物火焰电离机理，建立了HCCI发动机汽油火焰电离过程预测的骨架机理。由于离子浓度显着影响所引起的离子电流信号，该机制的目标是准确地预测离子产生浓度和其他关键燃烧特性。通过与详细的汽油火焰电离机理和实验结果的对比，验证了H3 O+最大浓度预测值和浓度变化趋势。此外，在HCCI发动机条件下准确预测了自燃延迟时间（t（ign））。通过与3D-CFD发动机模型耦合，应用骨架机制预测了缸内离子种类的重要信息，并通过实验得到的离子电流幅值和相位进行了验证。结果表明，离子流相位（Ion 50）与预测的离子浓度最大值位置吻合较好，不同当量比（Phi）和喷油比（Inj（ratio））条件下的离子流幅值预测效果较好. (C)2016年，燃烧研究所。爱思唯尔公司出版
Ion current sensing technology has the potential to be a low cost and real time combustion phasing solution for HCCI or HCCI-like engine control. Based on a primary reference fuel oxidation mechanism and a C1-C4 hydrocarbon flame ionization mechanism, a skeletal mechanism for gasoline flame ionization process prediction on HCCI engines was developed in this paper. Since the ion concentrations significantly affect the aroused ion current signals, the mechanism is targeted on accurately predicting both the ion production concentrations and other key combustion characteristics. Through the comparison with the results from the detailed gasoline flame ionization mechanism and experimental results, the predicted maximum hydronium ( H3O+) ion concentration and the concentration variation tendency are validated. Additionally, the auto-ignition delay time (t(ign)) accurately predicted under HCCI engine conditions. Through coupling with a 3D-CFD engine model, the skeletal mechanism was applied to predict the important information of in-cylinder ion species, which are validated by the experimental ion current amplitudes and phases. The results show that the ion current phase (Ion50) matches well with the positions where the predicted ion concentration reaches its maximum, and the ion current amplitudes are well predicted under the conditions of different equivalence ratios (Phi) and fuel injection ratios ( Inj(ratio)). (C) 2016 by The Combustion Institute. Published by Elsevier Inc.