Analysis of Ion Current Integral Characteristics for Estimation of Combustion Process Parameters in Internal Combustion Engines

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ISSN: 2278-0149 (Online)
Short Title: Int. J. Mech. Eng. Robot. Res.
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DOI: 10.18178/ijmerr
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Home > Articles > All Issues > 2017 > Volume 6, No. 3, May 2017 >

Artem Yu. Budko 1, Michail Yu. Medvedev 1, Raisa Yu. Budko 1, Pavel V. Ivashin 2, Andrey Ya. Tverdokhlebov 2, Dmitriy N. Gerasimov 3, and Vitaly V. Rakhmanov 4

1. Southern Federal University, Rostov-on-Don, Russian Federation
2. Togliatti State University, Togliatti, Russian Federation
3. ITMO University, St. Petersburg, Russia
4. Kutateladze Institute of Thermophysics Siberian Division Russian Academy of Sciences, Novosibirsk, Russian Federation

Abstract—An approach of peak pressure position and maximum pressure estimation in the chambers of internal combustion engine (ICE) is proposed in the paper. The approach is based on analysis of integral characteristic of ion current and has potentials due to robustness of estimation results to cycle-by-cycle parameters variations of combustion process and variations of measuring probe parameters. Besides, the use of integral characteristic does not require the knowledge of noise sensitive ion current profile. The proposed idea is validated via experiments and compared with analogous method of peak pressure angle calculation using thermal ionization of ion current. The final result of estimation can be applied in spark ignition or diesel engine control, wherein the proposed estimation mechanism can be applied in feedback instead of the use of expensive high pressure sensors or analog lambda sensors.

Index Terms— ion current signal, peak pressure position, maximum pressure estimation, engine

Cite: Artem Yu. Budko, Michail Yu. Medvedev, Raisa Yu. Budko, Pavel V. Ivashin, Andrey Ya. Tverdokhlebov, Dmitriy N. Gerasimov, and Vitaly V. Rakhmanov, "Analysis of Ion Current Integral Characteristics for Estimation of Combustion Process Parameters in Internal Combustion Engines," International Journal of Mechanical Engineering and Robotics Research, Vol. 6, No. 3, pp. 188-193, May 2017. DOI: 10.18178/ijmerr.6.3.188-193