电控汽油机进气量的最优估计算法

Optimum estimate method of intake flowrate for electronic control gasoline engine

通过发动机台架试验,针对发动机进气系统的非线性特性,基于发动机进气通路动态模型,给出了进气压力与系统参数之间的关系,根据卡尔曼滤波的应用特性,提出了基于扩展的卡尔曼滤波的发动机进气量估计算法,得到了进气量估计的实时递推方程,计算了发动机瞬态工况下的进气压力,并与实际测量值进行了比较。对于较小的负荷变化率,压力计算值与测量值偏差小于3%,而较大的负荷变化率时,偏差有增大趋势,但其误差小于5%。结果表明进气量估计算法可以较精确地计算出发动机瞬态工况的进气量。

The bench test of electronic control gasoline engine was carried out, the nonlinear character of engine intake system was taken into account, the relation between manifold pressure and intake system parameters was given based on engine intake dynamic model. According to the application trait of Kalman filter, an estimate method of engine intake flowrate was put forward based on extended Kalman filter （EKF）, the iterative equation was obtained by the simple linearization of nonlinear system, the intake pressures of transient operation condition were computed with different load rates. The comparison result of computation value and measure value shows that their deviation is within 3% for low load ratio, and has increasing tendency for high load ratio, but it is within 5%. The result indicates that the method can compute engine transient intake quantity exactly. 2 figs, 11 refs.