Study on the phase relation between ion current signal and combustion phase in an HCCI combustion engine

2015 ◽  
Vol 35 (3) ◽  
pp. 3097-3105 ◽  
Author(s):  
Guangyu Dong ◽  
Yulin Chen ◽  
Zhijun Wu ◽  
Liguang Li ◽  
Robert Dibble
2005 ◽  
Vol 6 (5) ◽  
pp. 453-463 ◽  
Author(s):  
T Tanaka ◽  
K Narahara ◽  
M Tabata ◽  
S Yoshiyama ◽  
E Tomita

An ion current probe using a spark plug was applied to gasoline-fuelled homogeneous charge compression ignition (HCCI) combustion with hot residual gas in order to verify the possibility of using it as a combustion sensor. The ion current signal for single-cycle HCCI combustion had a simple profile and effectively one maximum value. There is a possibility that a similar ion current signal corresponding to the completed reaction can be obtained, depending on the location of the probe during HCCI combustion. The ionization reaction for HCCI combustion is affected by the chemical ionization reaction with heat release, and there is a possibility that the ion current can be used to detect heat release corresponding to the chemical ionization reaction. A strong correlation between the timing of the integrated ion current and the timing of the mass fraction burned is observed. The timing of the mass fraction burned is assumed from the timing of the integrated ion current, and the mass fraction burned (up to 70 per cent) can be determined, even if the engine driving condition changes within the scope of the test. There is a correlation between the timing of the maximum ion-current and the maximum rate of heat release, and there is a possibility that the maximum value of the rate of heat release can be inferred by detecting the timing of the maximum ion current. There is a correlation between the timing of the maximum ion current and the timing of the maximum pressure at each cycle. Therefore, it may be possible to monitor the variation of the HCCI combustion phasing.


2020 ◽  
pp. 146808742097289
Author(s):  
Maximilian Wick ◽  
Denghao Zhu ◽  
Jun Deng ◽  
Liguang Li ◽  
Jakob Andert

Homogenous charge compression ignition (HCCI) combustion is a low temperature combustion process which combines high combustion efficiency with ultra-low [Formula: see text] raw emissions. Steep increases of the in-cylinder pressure and unstable combustion sequences at the limits of the operating range can damage the engine and limit the use of HCCI to part load operation. This can be done using closed loop combustion control based on combustion parameters like the indicated mean effective pressure and the combustion phasing. Since in-cylinder pressure sensors are expensive components and therefore not suitable for series application, ion current sensors can be used as an additional source of information about the combustion. Combustion analysis using methods similar to those used in pressure based measurements can be implemented using an online analysis of the ion current signal. In this study, the ion current sensor will be examined for its suitability for combustion control under HCCI conditions with lean air/fuel ratios and high compression ratios. Research has found that the ion current signal is strongly depended on the boundary conditions. Especially the air/fuel ratio which plays an important role for signal strength during the combustion process. When using valve timings with negative valve overlap in combination with a fuel pre-injection, a further peak of the ion current signal close to the gas exchange top dead center can be found in addition to the one during combustion. At the same time, it is hard to extract information from the cylinder pressure signal during NVO. Under lean conditions this peak even exceeds the signal during combustion. This study analyzes the ion current signal during NVO and its potential to be used for future combustion control concepts. The ion current signal shows potential to stabilize HCCI combustion at high loads. However, the prediction of late combustion cycles is still challenging.


Fuel ◽  
2016 ◽  
Vol 166 ◽  
pp. 42-50 ◽  
Author(s):  
Yintong Liu ◽  
Liguang Li ◽  
Junyu Ye ◽  
Jun Deng ◽  
Zhijun Wu

2017 ◽  
Author(s):  
Sunyu Tong ◽  
Zhaohui Yang ◽  
Xiaoyu He ◽  
Jun Deng ◽  
Zhijun Wu ◽  
...  

2006 ◽  
Author(s):  
Dimitris Panousakis ◽  
Andreas Gazis ◽  
Jill Patterson ◽  
Rui Chen ◽  
Jamie Turner ◽  
...  

2004 ◽  
Vol 70 (696) ◽  
pp. 2205-2212
Author(s):  
Toshio SHUDO ◽  
Yoshitaka ONO ◽  
Takehiro TAKAHASHI

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