楼狄明，房亮，胡志远，谭丕强.多因素多目标国Ⅴ排放生物柴油混合燃料发动机性能优化[J].内燃机工程,2017,38(1):34-39.
多因素多目标国Ⅴ排放生物柴油混合燃料发动机性能优化
Multi-Factor and Multi-Objective Performance Optimization of a Emitted to China Ⅴ Emission Standard Biodiesel-Diesel Blend Fuel Engine
DOI：
关键词:内燃机  混合试验设计  混合优化  多因素分析  多目标优化
Key Words:IC engine  hybrid optimization  multi-factor analysis  multi-objective optimization
基金项目:上海市科技攻关计划项目（13DZ1205600）
作者单位
楼狄明，房亮，胡志远，谭丕强 同济大学 汽车学院，上海 201804 
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摘要:在一台国Ⅴ排放高压共轨柴油机上燃用20%生物柴油-柴油混合燃料，通过调节共轨压力、主喷定时、预喷定时、预喷油量、后喷定时、后喷油量6个喷油控制参数研究生物柴油发动机的多因素多目标优化方法。采用混合试验设计方法分别针对低、中、高转速下的低、中、高负荷9个工况点设计试验方案，并进行台架试验采集发动机性能及排放数据。根据试验结果用混合径向基函数神经网络模型（Hybrid RBF）拟合发动机各项性能指标数学模型，设计优化方程并利用组合优化算法求解以比油耗（BSFC）最小和氮氧化物（NOx）排放最小为目标的全局多目标最优解，弥补了传统发动机优化标定方法单因素逐一优化的局限性。优化结果使得所选取的9个工况点的BSFC平均降幅为1.31%，同时NOx排放平均降幅高达24.59%。
Abstract:By adjusting the 6 injection parameters ( pfin, Tfin , Tint, Qpre, Tinta, Qafter), the multi-factor and multi-objective performance optimization of the biodiesel engine was researched on a high pressure common-rail diesel engine fueled with 20% biodiesel and 80% diesel. By using hybrid DoE, a multi-factor optimization plan of 9 different operating points was designed and the bed test was carried out to collect the engine performance and emission data. According to the test results, the mathematical model of the performance indexes of the engine was fitted by means of the hybrid RBF algorithm, and the optimization equation was designed. Then the global multi-objective optimal solution was solved by the combinational optimization algorithm with the goal of minimum BSFC and minimum NOx emission. This method can make up for the limitation of the traditional optimization method using single factor one by one. After the optimization, the average BSFC of the selected 9 operating points can be reduced by 2.71%, while the average NOx emission is reduced by 24.59%.
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