Abstract
The combustion characteristics of a turbocharged diesel engine in a plateau environment have always been a focus of research on diesel engine power recovery. However, the influence of altitude on the empirical parameters of the combustion model has rarely been addressed in the literature. This paper presents a zero-dimensional combustion modeling method based on support vector machine (SVM). Taking a diesel engine as an example, the heat release rate data under different working conditions were measured on the test bench of a diesel engine at variable altitude. An SVM model was constructed and trained to predict the empirical parameters of the combustion model under varying altitude conditions, and the working process of the diesel engine was simulated. The results show that the working process simulation model with SVM prediction has better predictability. When the altitude increases, the average cylinder pressure and maximum pressure both decrease, the cylinder temperature and maximum temperature both increase, the combustion start point lags, and the combustion duration increases.
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Abbreviations
- C:
-
penalty parameter
- mi :
-
combustion quality coefficient
- RoHR:
-
rate of heat release
- RoHRF :
-
fitting rate of heat release
- RoHRE :
-
experimental rate of heat release
- SVM:
-
support vector machine
- β i :
-
proportion of heat release
- φ 0 :
-
start timing of combustion
- Δφ i :
-
combustion duration
- Φ(x):
-
mapping function
- ξ :
-
slack variable
- ε :
-
loss coefficient
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Jing, Q., Luo, Q., Gui, Y. et al. Combustion Simulation of Variable Altitude Turbocharged Diesel Engine Using SVM. Int.J Automot. Technol. 22, 1087–1095 (2021). https://doi.org/10.1007/s12239-021-0097-0
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DOI: https://doi.org/10.1007/s12239-021-0097-0