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柴油机喷油系统中压力的变化会引起气泡的产生和溃灭,而气泡的变化会对燃油的流动和压力波的传播产生影响.为了更准确预测喷油系统中的初始含气率以及变化情况,提出了应用改进遗传算法对柴油机喷油系统模型中的柱塞腔、出油阀紧帽腔、高压油管和针阀腔初始含气率进行辨识的新方法.基于气泡模型,建立了气-液两相条件下的柴油机喷油系统模型,通过仿真数据和试验数据对比,构造了适应度函数,实现了对柴油机喷油系统模型的参数辨识,并得到了参数优化后的柴油机喷油系统模型.仿真结果与试验数据的比较验证了采用改进遗传算法对气-液两相条件下的柴油机喷油系统模型进行参数辨识的可行性.
Changes in pressure in a diesel engine fuel injection system can cause the generation and collapse of bubbles, and changes in the bubbles affect the flow of fuel and the propagation of pressure waves.In order to predict the initial gas content in the fuel injection system more accurately and change it , A new method of identifying the initial gas content of the plunger cavity, the capped cavity of the delivery valve, the high pressure tubing and the needle valve cavity using the improved genetic algorithm is proposed. Based on the bubble model, Liquid two-phase diesel engine fuel injection system model, through the comparison of simulation data and experimental data, the fitness function is constructed and the parameter identification of the diesel injection system model is achieved. Finally, the parameters of the diesel injection system model The comparison between the simulation results and the experimental data verifies the feasibility of using the improved genetic algorithm to identify the parameters of the diesel injection system model under gas-liquid two-phase conditions.