Virtual Oxygen Sensor Implementation Using Artificial Neural Networks

被引：2
|
作者：
Richter, Thiago [1 ]
Oliveira, Amaury Ferrari [1 ]
da Silva, Ivan Nunes [2 ]
机构：
[1] Delphi Automot Syst, Piracicaba, Brazil
[2] Univ Sao Paulo, Dept Elect Engn, BR-05508 Sao Carlos, SP, Brazil
来源：
TECHNOLOGICAL DEVELOPMENTS IN EDUCATION AND AUTOMATION | 2010年
关键词：
D O I：
10.1007/978-90-481-3656-8_41
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The Engine Management System is the system responsible for controlling the combustion in an automotive engine that is a very complex system with various sensors and actuators involved. This paper presents the use of artificial neural networks to estimate values of the oxygen sensor, which is one of the main sensors used by the Engine Management System and is directly related to the control of combustion and emissions. Together with the costs reduction, the control of emissions has received great focus by the automotive industry, where one of the reasons is actually the environmental issue.
引用
收藏
页码：219 / +
页数：2
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