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发动机全可变配气参数多元回归耦合研究
引用本文:路勇,何丰硕,李建,侯秀芹,吕坤,李博,熊丽君. 发动机全可变配气参数多元回归耦合研究[J]. 北京理工大学学报, 2018, 38(1): 20-25. DOI: 10.15918/j.tbit1001-0645.2018.01.004
作者姓名:路勇  何丰硕  李建  侯秀芹  吕坤  李博  熊丽君
作者单位:哈尔滨工程大学 动力与能源工程学院, 黑龙江, 哈尔滨 150001
基金项目:国家自然科学基金资助项目(51579050)
摘    要:基于柴油机仿真模型,依据正交实验原则仿真获得气阀运动参数耦合数据库,利用多元回归分析方法分析配气参数之间的耦合特性,获得气阀运动参数实际最优解.建立电液全可变发动机联合仿真模型验证实际最优解.联合仿真结果表明实际最优解比原优化值功率提高3.8%,在发动机性能提高的前提下,进排气阀平均速度分别降低31.1%和37.5%.获得的配气参数实际最优解可以满足电液系统的驱动能力,有效提高驱动效率. 

关 键 词:发动机   配气参数   多元回归   耦合
收稿时间:2017-02-27

Engine Fully Variable Valve Parameters Coupling Study Based on Multiple Regression Analysis
LU Yong,HE Feng-shuo,LI Jian,HOU Xiu-qin,L,#; Kun,LI Bo and XIONG Li-jun. Engine Fully Variable Valve Parameters Coupling Study Based on Multiple Regression Analysis[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2018, 38(1): 20-25. DOI: 10.15918/j.tbit1001-0645.2018.01.004
Authors:LU Yong,HE Feng-shuo,LI Jian,HOU Xiu-qin,L&#   Kun,LI Bo  XIONG Li-jun
Affiliation:College of Power and Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China
Abstract: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.
Keywords:engine  valve parameter  multiple regression  coupling
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