Control -Oriented Modeling and Experimental Study on Low Temperature Combustion for Diesel Engine
Yidong Fei, Fujun Zhang, Tianpu Dong, Sufei Wang
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.13How to use a DOI?
- diesel; LTC; control-oriented; combustion model
- Diesel low-temperature combustion (LTC) has great potential on ultra-low emissions for internal combustion engine and has been widely researched in recent years. In order to enhance the stability of diesel LTC and improve the transient performance during low temperature combustion and conventional combustion mode switching, accurate prediction of the in-cylinder combustion state in diesel engine is required, and the control strategy should be adjusted accordingly. A control-oriented combustion model which consists of the dynamic model of the intake, compression, combustion, expansion and exhaust process of diesel LTC is developed basing on in-cylinder thermodynamic cycle. The model was verified and validated with experimental data. Comparison between the calculation result and the experimental data shows that in LTC combustion mode, the maximum calculation error of indicated mean effective pressure (IMEP) is -5.4%, and the maximum calculation error of crank angle for 50% burnt fuel (CA50) is 6.6%. The results prove that the state parameters of diesel engine could be predicted accurately with this model, which is fundamental for model-based control of diesel low temperature combustion.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yidong Fei AU - Fujun Zhang AU - Tianpu Dong AU - Sufei Wang PY - 2017/06 DA - 2017/06 TI - Control -Oriented Modeling and Experimental Study on Low Temperature Combustion for Diesel Engine BT - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017) PB - Atlantis Press SP - 64 EP - 69 SN - 1951-6851 UR - https://doi.org/10.2991/caai-17.2017.13 DO - https://doi.org/10.2991/caai-17.2017.13 ID - Fei2017/06 ER -