Online Automatic Adaptation for Model-based Control of Diesel Engine

Jianan Cao, Motoki Takahashi, Yudai Yamasaki, Shigehiko Kaneko

Research output: Contribution to journalConference article

Abstract

In this paper, an online automatic adaptation method for model-based control of a diesel engine is developed. Control-oriented models based on physics has been proposed as substitutes for conventional control methods to improve the performance of engine under real driving situation. Even such physical-rich models have fitting parameters and it is preferable to adapt the parameters according to the real-time operating condition. Therefore, an automatic adaptation method for the model is developed, and the method is based on neural network. The prediction accuracy of the model is evaluated by simulation and it is confirmed that the method can be applied online to a real engine by experiment.

Original languageEnglish
JournalSAE Technical Papers
Issue numberDecember
DOIs
Publication statusPublished - 2019 Dec 19
Externally publishedYes
Event2019 JSAE/SAE Powertrains, Fuels and Lubricants International Meeting, JSAE 2019 - Kyoto, Japan
Duration: 2019 Aug 262019 Aug 29

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

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