摘要
以某款增压中冷天然气发动机为对象,搭建了一维模型并进行了试验验证,在此基础上对发动机的空燃比、点火提前角、配气相位以及压缩比对发动机的影响进行分析。使用试验设计的方法进行抽样,建立了发动机的响应面模型。使用多目标遗传算法对空燃比、点火提前角、配气相位以及压缩比进行了优化。优化后的扭矩提高了3.61%,燃气消耗率降低了1.90%,NOx排放降低了32.74%,HC排放降低了21.17%,CO的浓度略大于NOx的浓度,有利于NOx的进一步后处理。
Taking a turbocharged and intercooled CNG engine as a prototype,a one-dimensional model was built and validated using AVL BOOST.On this basis,the effects of air-fuel ratio,ignition advance angle,valve timing and compression ratio on the engine were analyzed.After that,the response surface model of the engine was established by using the method of experimental design.On this basis,the multi-objective genetic algorithm is used to optimize the air-fuel ratio,ignition advance angle,valve timing and compression ratio.After optimization,the maximum torque was increased by 3.61%,fuel consumption was decreased by 1.90%,NO_x emission was decreased by 32.74%,HC emission was decreased by 21.17%,and CO concentration was slightly higher than NO_x concentration,which is conducive to the further post-processing of NO_x.
作者
张磊
葛晓成
杨洁
徐中明
ZHANG Lei;GE Xiaocheng;YANG Jie;XU Zhongming(School of Automotive Engineering,Chongqing University,Chongqing 400044,China;Chongqing Kerry Gas Vehicle Co.,Ltd.,Chongqing 401120,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2020年第3期16-22,共7页
Journal of Chongqing University of Technology：Natural Science
基金
重庆市重点产业共性关键技术创新专项重点研发项目(cstc2017zdcy zdyfX0097)。
