Masato Ehara

Rapid Boundary Detection for Model Based Diesel Engine Calibration

Recent years, engine calibration process has been required to be more sophisticated. It is possible to improve efficiency of calibration by making good use of models, and calibration process where models are introduced is called Model Based Calibration (MBC). MBC has been showing its validity to some extent. But it is necessary to spend much time still and all at boundary detection that is indispensable for accurate engine modeling. Especially for diesel engine calibration, it takes much time, because there are large numbers of calibration parameters. In this paper, the new methodology for boundary finding measurement is introduced.ディーゼルエンジンは適合パラメタの数が多く適合を効率化する手法として，モデルを利用した適合手法が浸透しつつあるが，モデル精度確保に必要な境界把握に多大な計測時間を割いている．そこで今回新しい境界把握手法を開発し，従来の手動方式に比べより正確で広い境界の把握と計測の効率化を実現したので報告する．