摘要
为研究汽车尾气排放时空动力学特性,提出一种复杂环境下多工况汽车尾气排放仿真新方法。基于科学、合理的抽样,利用最小计算量筛选出关键因素与尾气排放之间的关系,通过粒子格子波尔兹曼自适应动态细化离散分析方法、LES大涡模拟湍流模型与拉格朗日非定场数值方法,结合汽车尾气排放实时监测数据,建立并优化尾气时空动态仿真模型,模拟尾气排放扩散过程。实验仿真结果证明此方法能控制尾气排放体积与质量浓度的时空动态分布,降低汽车尾气对PM2.5的贡献率。
In order to study the spatiotemporal dynamic characteristics of vehicle exhaust emission,a new simulation method of vehicle exhaust emissions under complex environment and multiple working conditions is proposed.Based on scientific and reasonable sampling,the minimum amount of calculation is used to screen out the relationship between the key factors and exhaust emission.By using discrete analysis method of particle lattice Pohl Seidman adaptive dynamic thinning,LES large eddy simulation turbulence model,and Lagrange's unsteady numerical method,with the combination of real-time monitoring data of automobile exhaust emissions,the spatiotemporal dynamic simulation model of exhaust has been established and optimized to simulate the exhaust gas emission and diffusion process.The simulation test results provide a new solution for controlling the volume and concentration in the spatiotemporal dynamic distribution of exhaust emission,and reducing the automobile exhaust to the contribution rate to PM2.5.
出处
《长春工程学院学报(自然科学版)》
2017年第2期35-39,共5页
Journal of Changchun Institute of Technology:Natural Sciences Edition
基金
国家自然科学基金资助项目(51378075
51678065)
吉林省发改委产业技术研究与开发专项项目(2015y73)
吉林省科技厅重点科技攻关项目(20160204012SF)
关键词
汽车尾气
动态模型
仿真实验
vehicle exhaust emission
dynamic model
simulation test