丁醇汽油发动机仿真与优化研究  

Simulation and Optimization of Butanol-Gasoline Engine

作　　者：黄英虎[1] 杨小龙[1] 涂鑫阳 

机构地区：[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082

出　　处：《计算机仿真》2014年第12期137-141,共5页Computer Simulation

基　　金：国家自然科学基金资助项目(10502029);教育部长江学者与创新团队发展计划资助项目(531105050037);湖南大学青年教师成长计划

摘　　要：为了改善汽油机燃用丁醇-汽油混合燃料后带来的发动机性能下降的问题,采用改进的多目标粒子群算法对燃烧影响因素进行了优化。首先建立了丁醇汽油发动机整机模型,并对比实验数据验证了模型的可靠性;然后提出了一种适应丁醇汽油混合燃料的改进多目标粒子群算法;随后以发动机的配气相位、空燃比、点火提前角等参数为设计变量,综合发动机燃油消耗率和扭矩作为目标函数,应用改进的多目标粒子群算法进行了优化。结果表明改进的多目标粒子群算法能快速找到优化结果,优化后的发动机在燃用丁醇汽油时性能得到较大的提高。In order to improve the performance of a gasoline engine when using Butanol - gasoline blended fuel, the influencing parameters of combustion were optimized using an modified multi - objective particle swarm optimiza- tion （MOPSO） algorithm. First a simulation model was established for the engine and verified by experiment data. Then an improved MOPSO algorithm was proposed to account for the Butanol - gasoline fuel. Finally, an optimization was conducted for the engine using the valve timing, air -fuel ratio and ignition advance angle as the optimized varia- bles and fuel consumption ratio and torque as the optimization objective functions. The results show that the modified MOPSO algorithm can obtain the optimized results quickly. The performance of the engine using Butanol - gasoline fuel is improved greatly.

关 键 词：丁醇 混合燃料 多目标粒子群算法 燃烧参数 

分 类 号：TK464[动力工程及工程热物理—动力机械及工程] TP391[自动化与计算机技术—计算机应用技术]