LU Yong, HE Feng-shuo, LI Jian, HOU Xiu-qin, LÜ Kun, LI Bo, XIONG Li-jun. Engine Fully Variable Valve Parameters Coupling Study Based on Multiple Regression AnalysisJ. Transactions of Beijing institute of Technology, 2018, 38(1): 20-25. DOI: 10.15918/j.tbit1001-0645.2018.01.004
Citation: LU Yong, HE Feng-shuo, LI Jian, HOU Xiu-qin, LÜ Kun, LI Bo, XIONG Li-jun. Engine Fully Variable Valve Parameters Coupling Study Based on Multiple Regression AnalysisJ. Transactions of Beijing institute of Technology, 2018, 38(1): 20-25. DOI: 10.15918/j.tbit1001-0645.2018.01.004

Engine Fully Variable Valve Parameters Coupling Study Based on Multiple Regression Analysis

  • To obtain the optimum solution of valve running parameters, the coupling rules among valve parameters were analyzed based on a simulation model of four-cylinder diesel engine, the multivariate regression analysis method, and a valve parameter coupling data base by simulation orthogonal experiments. Further more, an electro-hydraulic fully variable valve model of the engine was built to verify the actual optimal solution. The combined simulation results show that, the optimal solution is improved by 3.8% than the original optimal power, and the average speed of inlet and outlet valve is decreased by 31.1% and 37.5% respectively in the premise of improving the performance of the engine. Finally, the optimal solution of the valve parameters obtained by the regression model satisfies the driving ability of electro-hydraulic driving system and improves the driving efficiency effectively.
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