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电磁驱动配气机构的发动机分缸工作一致性控制
引用本文:徐亚旋,刘梁,常思勤,胡茂杨. 电磁驱动配气机构的发动机分缸工作一致性控制[J]. 中国机械工程, 2019, 30(21): 2546
作者姓名:徐亚旋  刘梁  常思勤  胡茂杨
作者单位:南京理工大学机械工程学院,南京,210094
基金项目:国家自然科学基金资助项目(51975297)
摘    要:为了提高发动机分缸工作的一致性,基于电磁驱动配气机构(EMVT),提出了一种分缸空燃比控制方法来减小各缸间的空燃比差异和转矩差异。应用衰减记忆卡尔曼滤波算法建立了稳态工况下的分缸空燃比观测器,并基于差分进化算法进行参数辨识,仅通过一个宽域氧传感器(UEGO)完成了参数辨识及分缸空燃比的估计。最后根据空燃比差异,应用EMVT独立调节各缸进气持续期,实现了分缸空燃比一致性控制。在GT-Power和Simulink中分别建立了发动机模型以及空燃比估计控制模型,联合仿真结果表明:在稳态工况下,缸间空燃比差异由2.6%减小至0.05%,缸间转矩差异由4.51%减小至0.25%。

关 键 词:电磁驱动配气机构  分缸空燃比  衰减记忆卡尔曼滤波  差分进化算法  进气调节  

Cylinder Consistency Control for Engines Equipped with Electromagnetic Valve Trains
XU Yaxuan,LIU Liang,CHANG Siqin,HU Maoyang. Cylinder Consistency Control for Engines Equipped with Electromagnetic Valve Trains[J]. China Mechanical Engineering, 2019, 30(21): 2546
Authors:XU Yaxuan  LIU Liang  CHANG Siqin  HU Maoyang
Affiliation:School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing,210094
Abstract:In order to improve the engine cylinder consistency, based on EMVT, a control method of individual cylinder air-fuel ratio was proposed to reduce the difference of air-fuel ratio and torque between engine cylinders. The fading Kalman filter algorithm was used to establish the individual cylinder air-fuel ratio observer under steady-state conditions. Parameter identification and the estimation of the individual air-fuel ratio were realized with only one universal exhaust-gas oxygen (UEGO) sensor based on the DE algorithm. Finally, according to the difference of individual air-fuel ratio, the EMVT was used to adjust the intake valve opening durations of each cylinder separately, and the consistency control of individual cylinder air-fuel ratio was realized. The engine model and the air-fuel ratio estimation and control model were built in GT-Power and Simulink respectively. The co-simulation results show that under steady-state conditions, the air-fuel ratio difference between cylinders decreases from 2.6% to 0.05%, the torque generation difference between cylinders decreases from 4.51% to 0.25%.
Keywords:electromagnetic valve train(EMVT)   individual air-fuel ratio   fading Kalman filter   differential evolution(DE) algorithm   intake air modulation  
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