Multi-objective optimization of fuel injection performance of a common rail injector

Abstract

The improvement of injector performance is important for the operation of common rail (CR) fuel systems. In this study, the optimization work has been carried out on a large-flow common rail injector. First, to simulate the injection process, a one-dimensional (1-D) model was developed and validated against the experimental data. The mathematical approximation model was also established to correlate the injection performance with the factors. Then, a multi-objective model by taking three design objectives into account was established and solved. Finally, Pareto front was obtained and the final optimization solution was determined. Furthermore, an extensive validation and analysis for the optimized results under various operating conditions was also carried out. Results shows that the three objectives, total response time, injection pressure fluctuation and injection pressure drop respectively, are improved by 11.75%, 39.12%, and 10.03% under the typical condition. And the proposed multi-objective optimization program based on design of experiment (DOE) technique, response surface methodology (RSM) and Elitist Non-dominated sorting genetic algorithm (NSGA-II) in present work can exhibit a good capability to optimize the problem of the injection performance in a CR fuel system.

Research on Multi-Objective Optimization of High-Speed Solenoid Valve Drive Strategies under the Synergistic Effect of Dynamic Response and Energy Loss

“…. In this study, the minimum distance method [34] was used to filter the Pareto solution set in order to obtain the optimal solution that achieves the best overall performance of the HSV. Considering the different units of Tope., Eele., and EJou., implementing the minimum distance method requires defining dimensionless objective functions, calculating the minimum distance, and selecting the point with the minimum distance.…”

“…By comparing the Pareto solutions with their corresponding objective values before optimization, the influence of different units on decision-making is eliminated. In this study, the minimum distance method [34] was used to filter the Pareto solution set in order to obtain the optimal solution that achieves the best overall performance of the HSV. Considering the different units of T ope.…”

Research on Multi-Objective Optimization of High-Speed Solenoid Valve Drive Strategies under the Synergistic Effect of Dynamic Response and Energy Loss

“…There exists a trade-off relationship between the Tope., Eele., and EJou., and there is no optimal solution that simultaneously minimizes Tope., Eele., and EJou.. In this study, the minimum distance method [26] was used to filter the Pareto solution set in order to obtain the optimal solution that achieves the best overall performance of HSV. Considering the different units of Tope., Eele., and EJou., implementing the minimum distance method requires defining dimensionless objective functions, calculating the minimum distance, and selecting the point with the minimum distance.…”

Research on pressure wave decoupling method for the nozzle of common rail electronically controlled injector based on water hammer theory

“…The results show that the application of the orifice to the high pressure fuel pipe between common rail and injector with innovative aspect ratio can couple active and passive damping of the pressure waves and minimize the disturbances in injection quantity. Gu et al 25 proposed a multi-objective optimization program based on design of experiment (DOE) technique, response surface methodology (RSM), and Elitist Non-dominated sorting genetic algorithm (NSGA-II) to improve the injector performance. The results show that, the injection pressure fluctuation and the injection pressure drop are improved by 39.12% and 10.03% respectively.…”