柴油机高原喷油策略遗传算法优化及罚参数研究  

Optimization of Diesel Injection Strategies at Plateau with Genetic Algorithm and Study of Penalty Parameters

作　　者：李长江[1] 赵长禄[1] 韩恺[1] 朱振夏[1] 

机构地区：[1]北京理工大学机械与车辆学院,北京100081

出　　处：《内燃机学报》2015年第3期250-256,共7页Transactions of Csice

摘　　要：针对高原环境下,涡轮增压柴油机动力性恶化,涡轮增压器喘振、超速和涡轮入口温度上升等问题,提出通过遗传算法优化喷油策略恢复高原功率的方法.在柴油机性能仿真模型的基础上,建立了柴油机高原喷油策略优化模型,设计了遗传算法中选择优良个体的依据——适应度函数,通过仿真研究喷油参数对喘振裕度的影响规律,并结合喷油参数对增压器转速和涡前温度的影响规律,将适应度函数中的罚参数的个数由4个缩减为2个,研究了罚参数对种群分布和优化效果的影响,提出了罚参数取值方法并验证了其合理性.海拔4,km条件下的优化结果显示:标定点功率相对原机提升21%,,恢复至原机平原水平的89.5%;燃油消耗率相对原机降低9.6%,.In order to recover the power of turbocharged diesel engine at plateau,a method that optimizing the injection strategies with genetic algorithm was carried out. Based on diesel performance simulation model,the optimization model of diesel injection strategy working at plateau was set up. The penalty function was designed which is used to evaluate the adaptability of chromosome in genetic algorithm. The quantity of penalty parameters was decreased from 4,to 2,based on the impact principles of fuel injection parameters on surge margin,turbo speed and turbine inlet temperature. The methods to determine the penalty parameters were presented,and the influence law of penalty parameters on population distribution was investigated. The results illustrate that the rate power improves by 21%,compared with the original and reaches 89.5%, of the plain level,and brake specific fuel consumption declines by9.6%, compared with original,at 4,km.

关 键 词：柴油机 高原功率恢复 喷油策略 优化 遗传算法 罚参数 

分 类 号：TK422[动力工程及工程热物理—动力机械及工程]