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Haoyun Shi,Yahui Zhang,Tielong Shen.[en_title][J].Control Theory and Technology,2021,19(3):354~364.[Copy]
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Extremum seeking-based optimal EGR set-point design for combustion engines in lean-burn mode
HaoyunShi,YahuiZhang,TielongShen
0
(Department of Engineering and Applied Sciences, Sophia University, Chiyoda-ku, Tokyo 102-8554, Japan)
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DOI:https://doi.org/10.1007/s11768-021-00047-x
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Extremum seeking-based optimal EGR set-point design for combustion engines in lean-burn mode
Haoyun Shi,Yahui Zhang,Tielong Shen
(Department of Engineering and Applied Sciences, Sophia University, Chiyoda-ku, Tokyo 102-8554, Japan)
Abstract:
In lean combustion mode, exhaust gas ratio (EGR) is a significant factor that affects fuel economy and combustion stability. A proper EGR level is beneficial for the fuel economy; however, the combustion stability (coefficient of variation (COV) in indicated mean effective pressure (IMEP)) deteriorated monotonously with increasing EGR. The aim of this study is to achieve a trade-off between the fuel economy and combustion stability by optimizing the EGR set-point. A cost function (J) is designed to represent the trade-off and reduce the calibration burden for optimal EGR at different engine operating conditions. An extremum-seeking (ES) algorithm is adopted to search for the extreme value of J and obtain the optimal EGR at an operating point. Finally, a map of optimal EGR set-value is designed and experimentally validated on a real driving cycle.
Key words:  Extremum seeking · EGR optimization · Lean burn mode