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移动窗口域的VDO爆震燃烧识别扩展算法

张力 郑仁蔚 张青 吴连成

重庆大学学报2017,Vol.40Issue(8):19-26,8.
重庆大学学报2017,Vol.40Issue(8):19-26,8.DOI:10.11835/j.issn.1000-582X.2017.08.003

移动窗口域的VDO爆震燃烧识别扩展算法

VDO knock diagnosis expansion algorithm based on moving window domain

张力 1郑仁蔚 1张青 2吴连成1

作者信息

  • 1. 重庆大学汽车工程学院,重庆400044
  • 2. 重庆长安汽车股份有限公司动力院 重庆40023
  • 折叠

摘要

Abstract

Siemens VDO knock detection algorithm is widely used in knock diagnosis in gasoline engine.However,the evaluating accuracy of knock is partly affected by the thought that the knock window is determined on the falling edge of cylinder pressure when knock occurs earlier than the peak pressure.VDO knock diagnosis expansion algorithm based on MWD (moving window domain) was proposed and the identification parameter △Emax was introduced to characterize the maximal accumulative high-frequency energy difference between a knock window and a reference window.By moving the reference window and the knock window within the area K,the knock calculation starting point can be detected accurately and more knock energy can be contained in the knock window.The ratio of the integral energy in the knock window and the reference window at this condition was defined as the knock factor.The result shows that the knock calculation starting point of MWD algorithm is earlier than the one of VDO method.It can present more knock energy information and avoid the missed diagnosis of the knock occurring earlier than the peak pressure.

关键词

汽油机/爆震因子/移动窗口/累积能量

Key words

IC engine/knock factor/moving window/accumulative energy

分类

能源科技

引用本文复制引用

张力,郑仁蔚,张青,吴连成..移动窗口域的VDO爆震燃烧识别扩展算法[J].重庆大学学报,2017,40(8):19-26,8.

基金项目

重庆市应用开发计划重大项目(CSTC2015YYKFC60004).Supported by the Key Project of Application Development of Chongqing. (CSTC2015YYKFC60004)

重庆大学学报

OA北大核心CSCDCSTPCD

1000-582X

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