自由活塞发动机二冲程运行模式换气过程优化
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摘要
以某单缸汽油机为研究对象,以AVL Boost软件为平台,在参考原型机实际工作参数的条件下搭建发动机系统整体模型;选取合适的燃烧模型、传热模型对热力学影响参数进行仿真,将仿真结果与试验结果进行对比并进行参数修正,以得到准确的仿真模型。在获得精度较优仿真模型的基础上,重点对原型机系统的配气方案进行优化,搭建基于AVL Boost和Matlab/Simulink软件的联合仿真优化环境,并利用粒子群智能优化算法对发动机配气正时进行智能寻优,最终确定二冲程下的最佳配气方案,为原型机系统二冲程运行模式下的优化和改进提供了基础。
Taking a single-cylinder gasoline engine as the research object,the overall model of engine system was built by referring to the working parameters of prototype with AVL Boost software.The combustion model and heat transfer model were selected to realize the simulation of thermodynamic influencing parameters.The simulation results were compared with the experimental results and the parameters were further corrected to acquire an accurate simulation model.Based on the simulation modelwith a better precision,the valve scheme of prototype was mainly optimized,the united simulation optimization environment of AVL Boost and Matlab/Simulink software was then built,the intelligent querying of optimal valve timing was further conducted with the particle swarm intelligent optimization algorithm,and the optimal valve scheme was finally determined,which provided a basis for optimization and improvement in the two-stroke operation mode of the prototype system.
Taking a single-cylinder gasoline engine as the research object,the overall model of engine system was built by referring to the working parameters of prototype with AVL Boost software.The combustion model and heat transfer model were selected to realize the simulation of thermodynamic influencing parameters.The simulation results were compared with the experimental results and the parameters were further corrected to acquire an accurate simulation model.Based on the simulation modelwith a better precision,the valve scheme of prototype was mainly optimized,the united simulation optimization environment of AVL Boost and Matlab/Simulink software was then built,the intelligent querying of optimal valve timing was further conducted with the particle swarm intelligent optimization algorithm,and the optimal valve scheme was finally determined,which provided a basis for optimization and improvement in the two-stroke operation mode of the prototype system.
引文
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[2]Li K,Zhang C,Sun Z.Precise piston trajectory control for a free piston engine[J].Control Engineering Practice,2015,34:30-38.
[3]尹凝霞,常思勤,李深杰.基于电磁驱动的自由活塞发动机燃烧室结构优化设计[J].东华大学学报(自然科学版),2016,42(4):537-541.
[4]任好玲.四冲程单活塞式液压自由活塞发动机运动机理与特性研究[D].杭州:浙江大学,2013.
[5]刘梁,常思勤.一种动圈式电磁驱动气门的可行性研究[J].中国机械工程,2009,20(19):2283-2287.
[6]孙宾宾.应用电磁驱动配气机构提高发动机性能研究[D].南京:南京理工大学,2013.
[7]李莉,王希珍,严兆大,等.电磁驱动气门机构控制策略初探[J].汽车工程,2004(4):426-429.
[8]Ozgur T,Tosun E,Ozgur C,et al.Numerical Studies of Engine Performance,Emission and Combustion Characteristics of a Diesel Engine Fuelled with Hydrogen Blends[J].Advanced Materials Research,2014,1016:582-586.
[9]Zhang W,Li Z J,Liu C Q,et al.A Study of QuasiHomogeneous Lean Burn Gasoline Engine Performance Based on the Numerical Simulation[J].Applied Mechanics&Materials,2013,278-280:174-177.
[10]Vuksan M,Segulja I,Vuksan M,et al.An AVL BOOST software for engine process simulation[J].Pomorstvo,2008,22(1):101-113.
[11]李子非,常思勤,刘梁.基于遗传算法的无凸轮发动机配气相位联合仿真优化[J].车用发动机,2011(2):19-24.
[12]李明.基于神经网络和遗传算法的发动机性能优化方法研究[D].上海:上海交通大学,2011.
[13]赵金星.基于神经网络和遗传算法的Atkinson循环发动机全负荷范围性能优化研究[D].上海:上海交通大学,2013.
[14]胡旺,Gary G YEN,张鑫.基于Pareto熵的多目标粒子群优化算法[J].软件学报,2014(5):1025-1050.
[15]王勇,刘敬平,王正球,等.基于过程模拟技术和先进统计学方法的多参数发动机性能优化[J].燃烧科学与技术,2015(2):141-149.