Abstract
In order to predict the injection rate more accurately, based on the gas bubble model, the model of diesel injection system under gas-liquid two-phase condition was established. The parameter optimization of the diesel injection system model was realized using improved parallel genetic algorithms, fitness function was built based on the least square method, and the regression equations of unknown parameters were obtained with the mathematical method of regression analysis, and so the model of diesel injection system of parameter identification was carried out. Comparisons between simulation results and experimental data show that the model of diesel injection system under gas-liquid two-phase condition is feasible and effective.
| Original language | English |
|---|---|
| Pages (from-to) | 558-563 |
| Number of pages | 6 |
| Journal | Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) |
| Volume | 44 |
| Issue number | 2 |
| State | Published - Feb 2013 |
Keywords
- Diesel engine
- Fuel injection system
- Gas bubble model
- Genetic algorithms
- Parameter identification
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