Numerical and Experimental Study on Knock Sources in Spark Ignition Engine with Electromagnetic Valve Train

Xu, Jiangtao; Feng, Yong; Chang, Siqin; Guo, Tao

doi:10.1007/s12239-020-0129-1

Cited by 4 publications

(1 citation statement)

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“…In this study, the application method of Miller cycle based on EMVT technology is shown in Figure 1. The compression ratio of engine was increased from 10.5 to 13.5 by changing the top shape of piston, 18 and zero-collision between piston and valve was realized in this work. The corresponding time of EMVT can reach 2.9 ms, which meets the changing requirements of the engine at 6000 r/min.…”

Section: Experimental and Simulation Modelmentioning

confidence: 99%

Numerical investigation of Miller cycle with EIVC and LIVC on a high compression ratio gasoline engine

Guo

Feng

et al. 2021

Science Progress

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Previous studies have shown that increase compression ratio (CR) is an effective way to improve thermal efficiency of gasoline engine without changing the mechanical structure and working cycle, however, it is limited by engine knock when increasing the intake boosting under high load operation. This study aimed to solve the knock problem of gasoline engine with higher CR by application of Miller cycle, which can be implemented by either early or late intake valve closing (EIVC or LIVC). Therefore, in this paper, based on the engine with CR of 13.5 and electromagnetic valves train (EMVT), a comparative study was carried out to investigate the effects of EIVC and LIVC on engine performance, by theoretical modeling and calculation. The results show that, at high load, EIVC strategy is more preferred than LIVC owing to its lower total power consumption, which can improve the indicated mean effective pressure (IMEP) by 0.0371 bar, while enhance turbulence intensity and improve combustion. And at part load, the advantage for EIVC declines gradually, nevertheless, it can still sensitively adjust the EGR rate and thus reduce NOx. This results of quantitative analysis about two Miller cycles can provide valuable reference for engine designers and researchers.

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Section: Experimental and Simulation Modelmentioning

confidence: 99%