基于多项式回归模型的高压共轨柴油机的标定  

The Calibration of High-pressure Common-rail Diesel Engine Based on Polynomial Regression Model

作　　者：周广猛[1,2] 刘瑞林[2] 周平[2] 刘刚[2] 李骏[3] 戈非[3] 

机构地区：[1]海军工程大学船舶与动力学院,武汉430033 [2]军事交通学院汽车工程系,天津300161 [3]第一汽车集团公司技术中心,长春130011

出　　处：《汽车工程》2012年第4期301-305,共5页Automotive Engineering

基　　金：总装陆装科订部项目(JLY2008601)资助

摘　　要：在低气压模拟试验台上进行了高压共轨柴油机模拟海拔5 000m环境的全因子试验。基于试验数据建立了转矩、燃油消耗率和排气温度的含4次交叉项的4阶多项式回归模型,其模型拟合残差率的绝对值均值分别为0.171%、0.140%和0.223%,表明模型具有较好的拟合能力。在此基础上,利用遗传算法优化获得了最佳喷油参数,实现了高压共轨柴油机基于模型的标定。A full factorial test of high-pressure common-rail diesel engine is conducted on a low pressure simulation test bench,imitating an ambient elevation of 5,000 meters.Based on the test data,three fourth-order polynomial regression models containing fourth-order cross terms respectively for torque,specific fuel consumption and exhaust temperature are set up with their absolute values of residual fitting error of 0.171%,0.140% and 0.223% respectively,showing the good fitting ability of the models.On this basis,optimum fuel injection parameters are obtained by optimization with genetic algorithm,fulfilling the model-based calibration of common rail diesel engine.

关 键 词：高压共轨柴油机 多项式回归模型 标定 

分 类 号：TK426[动力工程及工程热物理—动力机械及工程]