基于模型的发动机仿真与优化

利用Matlab软件中的MBC(model-based calibration)工具箱和仿真软件Ricardo Wave对汽油发动机的动力性进行了基于模型的标定和优化；在标定流程中,首先利用Wave建立了发动机仿真模型,并通过验证；接着,运用实验设计(DoE)方法确定了发动机的运行工况点,并用仿真模型计算出发动机在这些工况点处的参数和性能(扭矩、油耗、功率和缸内最高压力等)；最后,建立发动机数学统计模型和标定优化；得到了发动机点火提前角、空燃比MAP图和优化后转矩的三维图；研究结果表明,该方法结合现代DoE试验设计理论和自动标定技术,不仅使发动机的扭矩从198 Nm提升到215 Nm,还能减少试验时间,提高标定效率。

Research on Simulation and Optimization of Gasoline Engine Based on Model[JZ)][HS)]

The MBC (calibration model-based) toolbox in MATLAB software and Ricardo Wave were used to optimize the power performance of a gasoline engine. In the calibration process, firstly, the wave simulation model of the engine was established and validated; then, engine operating points were determined by using the design of experiments (DOE) method, and parameters and performance (torque, fuel consumption, power and the cylinder maximum pressure, etc.) of the engine at these operating points were calculated by the simulation model. Finally, the engine mathematical statistical model was established and calibration optimization. The engine ignition advance angle, air-fuel ratio and the torque of the engine were obtained. The results show that the method combined with the modern DoE test design theory and automatic calibration technology not only makes the engine torque from 198Nm to 215Nm, but also reduces the test time and improve the calibration efficiency.