Title :
Study on Cycle-To-Cycle Variations of CAI Combustion Using NVO Strategy
Author :
Li, Hua ; Guo, Yingnan ; Cheng, Peng ; Liu, Fafa ; Jiang, Enwei
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
Based on the application of self-developed electro-hydraulic variable valve train (VVT), Controlled Auto-Ignition(CAI) was achieved with Negative Valve Overlap (NVO) strategy. This VVT system that replaced the original camshaft was mounted on the head of a modified single cylinder engine. The cycle-to-cycle variation of CAI Combustion was investigated under several different operating points with 100 consecutive cycles sampled and stored. The experimental results indicated that as the excess air coefficient increases, with fixed engine speed and valve event, the coefficient of variation of indicated mean effective pressure (CoVIMEP) dropped firstly and then increased. The CoVIMEP had the minimum value when the excess air coefficient ranges from 1.1 to 1.3. The engine speed and the valve lift showed the potential to influence CoVIMEP. Increased engine speed led to a more intense mixing progress, which introduced high intensity turbulence into the cylinder and resulted in a higher level of charge homogeneity at the end of compression stroke, and finally a steady CAI combustion. Meanwhile, decreasing the valve lift had a relatively minor effect. The variation of IMEP was consequently suppressed to some extend.
Keywords :
camshafts; electrohydraulic control equipment; engine cylinders; internal combustion engines; mechanical engineering; CAI combustion; NVO strategy; camshaft; coefficient of variation; compression stroke; controlled auto ignition; cycle-to-cycle variation; indicated mean effective pressure; negative valve overlap; variable valve train; Combustion; Computer aided instruction; Fuels; Ignition; Timing; Valves;
Conference_Titel :
Logistics Engineering and Intelligent Transportation Systems (LEITS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8776-9
Electronic_ISBN :
978-1-4244-8778-3
DOI :
10.1109/LEITS.2010.5665034