Online Automatic Adaptation for Model-based Control of Diesel Engine

Jianan Cao, Motoki Takahashi, Yudai Yamasaki, Shigehiko Kaneko

研究成果: Conference article査読

1 被引用数 (Scopus)


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.

ジャーナルSAE Technical Papers
出版ステータスPublished - 2019 12月 19
イベント2019 JSAE/SAE Powertrains, Fuels and Lubricants International Meeting, JSAE 2019 - Kyoto, Japan
継続期間: 2019 8月 262019 8月 29

ASJC Scopus subject areas

  • 自動車工学
  • 安全性、リスク、信頼性、品質管理
  • 汚染
  • 産業および生産工学


「Online Automatic Adaptation for Model-based Control of Diesel Engine」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。