汽油机加速瞬态油膜补偿技术研究

胡忠录; 李岳林; 何兴

doi:10.13433/j.cnki.1003-8728.2014.1121

汽油机加速瞬态油膜补偿技术研究

doi: 10.13433/j.cnki.1003-8728.2014.1121

1.
长沙理工大学, 长沙 410004

基金项目:

国家自然科学基金项目(51176014)

博士基金项目(20104316110002)资助

详细信息

作者简介:
胡忠录(1978- ),高级工程师,博士研究生,研究方向为交通运输节能与排放控制,kelvin781107@163.com。

通讯作者:
李岳林,教授,博士,li.vuelin@163.com。

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- 被引次数: 0
出版历程
- 收稿日期: 2013-08-14

Study on Acceleration Transient Oil Film Compensation Technology of Gasoline Engine

1.
Changsha University of Science & Technology, Changsha 410004

摘要

摘要: 为了提高汽油机空燃比控制精度,满足动力性、经济性与排放性能要求,对汽油机加速瞬态工况油膜动态效应补偿技术进行研究.采用Elman神经网络对油膜参数进行辨识,通过仿真软件建立了汽油机油膜加速瞬态补偿器模型.基于mototron快速原型开发平台对设计的油膜补偿器模型进行策略移植、下载与标定,并通过离线仿真和试验进行验证.结果表明:Elman神经网络可以对汽油机油膜参数进行准确辨识,并且可以消除油膜动态效应对空燃比的影响,油膜补偿器能对汽油机加速瞬态工况下喷油进行有效补偿,更好的控制发动机加速瞬态过程中的空燃比.
- 加速瞬态 /
- 神经网络 /
- 油膜补偿 /
- 模型
Abstract: A method of oil film dynamic compensation technology for gasoline engine in the acceleration transient condition was studied in order to improve the Air-Fuel Ratio(AFR) control accuracy and meet the requirements of gasoline engine power,economy and emission properties. The parameters of oil film were identified by using the Elman neural networks; an oil film compensator model for gasoline engine in the acceleration transient condition was established by simulation software. Based on MotoTron rapid prototyping development platform,the oil film compensator model was transplanted,downloaded,calibrated,and verified by simulation and experiment. The results show that the Elman neural network can identify the parameters of oil film of gasoline engine,and can eliminate the oil film dynamic effect on the AFR; the oil film compensator can compensate effectively for injection of gasoline engine; and AFR can be controlled effectively in the acceleration transient conditions.
- acceleration /
- automobiles /
- calibration /
- computer simulation

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参考文献(15)

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