Prediction Modeling and Analysis of Knocking Combustion using an Improved 0D RGF Model and Supervised Deep Learning

Prediction Modeling and Analysis of Knocking Combustion using an Improved 0D RGF Model and Supervised Deep Learning

The knock phenomenon is one of the major hindrances for enhancing the thermal efficiency in spark-ignited engines. Due to the stochastic behavior of knocking combustion, analytical cycle studies are required. However, there are many problems to be addressed with regard to the individual cycle analys...

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Bibliographic Details
Main Authors: Seokwon Cho, Jihwan Park, Chiheon Song, Sechul Oh, Sangyul Lee, Minjae Kim, Kyoungdoug Min
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
SI engine
knock
knock prediction
ignition delay
residual gas
knock onset
deep learning
1D simulation
variable valve timing
Online Access:http://www.mdpi.com/1996-1073/12/5/844

Internet

http://www.mdpi.com/1996-1073/12/5/844

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