Abnormal Combustion Diagnosis and Combustion Period Based Phase Estimation with a Modified Form Tandem Ion Current Detection System on SI Gasoline Engines

被引：3

作者：

Chao, Yuedong ^{[1
]}

Lu, Haifeng ^{[1
]}

Dong, Guangyu ^{[1
]}

Deng, Jun ^{[1
]}

Li, Liguang ^{[1
,2
]}

机构：

[1] Tongji Univ, Chool Automot Studies, Shanghai 201804, Peoples R China

[2] Tongji Univ, Chinesisch Deutsch Hochshulkolleg, Shanghai 201804, Peoples R China

来源：

INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS | 2019年 / 158卷

关键词：

Combustion diagnosis; combustion period; gasoline engine; ion current detection; closed loop control;

D O I：

10.1016/j.egypro.2019.01.483

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Researches on typical ion current signal analysis and characteristics were studied on a 1.3L four-cylinder turbo-charged gasoline engine with a modified form tandem ion current detecting system. Analyses for knock condition and misfire condition were based on single cycle. The integral of ion current can enhance the accuracy rate of knock diagnose, reached 87.2%. Furthermore, aiming at the recognition of knock level, ion current peak value (Ion(m)ax) and mean value (Ion(mcan)) have a linear correlation with knock intensity. Weighting algorithm can be employed to optimize the correlation coefficient between newly defined parameter ion current knock key value (K-ion) and engine knock intensity from 0.811 to 0.843. For totally misfire and late combustion condition, the diagnose accuracy rate was 100%. However, combustion phase estimation with ion current parameters was based on combustion period, not single cycle. Results show that coefficient of variation of integral of ion current based on combustion period, or 10 cycles, was below 4% under normal operation. (C) 2019 The Authors. Published by Elsevier Ltd.

引用

页码：2098 / 2105

页数：8