A skeletal gasoline flame ionization mechanism for combustion timing prediction on HCCI engines

被引:22
作者
Dong, Guangyu [1 ]
Chen, Yulin [2 ]
Li, Liguang [1 ]
Wu, Zhijun [1 ]
Dibble, Robert [2 ]
机构
[1] Tongji Univ, Sch Automot Studies, Shanghai 200092, Peoples R China
[2] Univ Calif Berkeley, Dept Mech Engn, Berkeley, CA 94720 USA
基金
高等学校博士学科点专项科研基金; 美国国家科学基金会;
关键词
Skeletal mechanism; Ion current; Flame ionization; HCCI; Combustion phase; CHEMICAL KINETIC-MODEL; ION CURRENT; SURROGATE FUEL; IGNITION; METHANE; OXIDATION; PRESSURE; PHASE;
D O I
10.1016/j.proci.2016.06.118
中图分类号
O414.1 [热力学];
学科分类号
摘要
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.
引用
收藏
页码:3669 / 3676
页数:8
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