内燃机工程2025，Vol.46Issue(1)：17-26,10.DOI:10.13949/j.cnki.nrjgc.2025.01.003
基于改进第二代非支配遗传算法的甲醇/柴油双燃料船舶发动机参数多目标优化
Multi-Objective Optimization of Methanol/Diesel Dual-Fuel Marine Engine Parameters Based on Improved Non-Dominated Sorting Genetic Algorithm-Ⅱ
摘要
Abstract
The 1D engine simulation software GT-Power was used to build a direct injection model of methanol/diesel M15(15%volume of methanol fuel)mixed fuel cylinder,and the torque,specific fuel consumption rate,NOx emissions and CO emissions were selected as the optimization targets,and the intake and exhaust valve timing angles,compression ratio and air-fuel ratio of the engine were used as the optimization parameters to carry out multi-objective optimization.In order to solve the multi-objective optimization problem effectively,the second-generation non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)was improved by using the gray entropy parallel analysis method,and the simulation results were verified by using the established response surface model.The optimization results show that the torque is increased by 6.96%,the specific fuel consumption rate is reduced by 1.19%,and the NOx and CO emissions are reduced by 12.37%and 3.77%,respectively.关键词
甲醇/柴油/第二代非支配遗传算法/灰熵并行/性能优化Key words
methanol/diesel/non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)/grey entropy parallel/performance optimization分类
能源与动力引用本文复制引用
赵柯洋,张衡,贺波,庞轶星,程星鑫,苏玉香,李又一..基于改进第二代非支配遗传算法的甲醇/柴油双燃料船舶发动机参数多目标优化[J].内燃机工程,2025,46(1):17-26,10.基金项目
舟山市科技计划项目(2022C41009)Zhoushan Science and Technology Plan Project(2022C41009) （2022C41009）
