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Optimization of fuel injection timing and ignition timing of hydrogen fueled SI engine based on DOE-MPGA.

Authors :
Yun, Hongli
Bu, Zidong
Yang, Zhenzhong
Wang, Lijun
Zhang, Baoliang
Source :
International Journal of Hydrogen Energy. Mar2023, Vol. 48 Issue 25, p9462-9473. 12p.
Publication Year :
2023

Abstract

For the port injection hydrogen-fueled spark ignition (SI) engine modified from the Jialing JH600 gasoline engine, the hydrogen injection timing and ignition timing of the hydrogen SI engine are comprehensively optimized on the AVL-FIRE software based on the combination of design of experiment (DOE) and multiple population genetic algorithm (MPGA). Firstly, the effects of hydrogen injection timing and ignition timing on the performance of the hydrogen engine are investigated through the full factors design of experiment scheme, and then the optimum intervals of them are determined respectively. Secondly, the uniform design of experiments scheme is arranged, and the regression functions of indicated power, indicated thermal efficiency and emissions of the hydrogen engine under different working conditions are fitted. Then, the comprehensive optimization model is constructed. Finally, the optimum hydrogen injection timing and ignition timing of the hydrogen engine under different working conditions are solved based on MPGA. The results show that, compared with the standard genetic algorithm (SGA), the MPGA has faster convergence speed and higher convergence accuracy. In addition, as the load increases from low to high, the optimum hydrogen injection timing is advanced and the rate of variation increases from 0.6% to 1.1%, the optimum ignition timing is delayed and the rate of variation decreases from 29.1% to 17.8%. • The uniform design can substantially reduce experimental study effort and cost. • Optimization models obtained by regression analysis based on the uniform design. • Solving optimization models with MPGA instead of SGA. • Providing a new idea for optimizing hydrogen SI engine. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03603199
Volume :
48
Issue :
25
Database :
Academic Search Index
Journal :
International Journal of Hydrogen Energy
Publication Type :
Academic Journal
Accession number :
162009782
Full Text :
https://doi.org/10.1016/j.ijhydene.2022.12.068