Development of Model-based Control Methods of Automotive Engines for Energy Saving and Emission Reduction

本研究从动力系统控制的角度对汽车发动机的节能减排问题提出了挑战。主要针对当前发动机管理技术中具有挑战性的瞬态工况进行了研究。建立了发动机各工况间瞬态特性的建模方法，并在此基础上提出了针对非线性和随机不确定性条件下发动机转矩产生和燃烧优化的控制律设计方法。针对所提出的控制策略，给出了在一台车用汽油机上的实验结果。

This research challenges the energy saving and emission reduction issues for the automotive engines from the view of dynamical system control. Mainly, the research focused on the transient operating modes which are challenging problem in the current engine management technology. Modeling methodology for the transient behavior between the operating modes is provided and based on the models control law design methods are presented that target on the optimization of torque generation and combustion under the nonlinear and the stochastic uncertainties in the engines. For all the proposed control strategies, experimental results are given that conducted on a production car-used gasoline engine.