基于开关型EGO的A/F自学习控制策略研究

The Study of Self-Learning Control Strategy for Air Fuel Ratio Based on Switch-type EGO Sensor

基于开关型氧传感器的电控发动机空燃比闭环PI反馈控制方法,对空燃比自学习控制策略进行了详细的分析,着重研究了空燃比自学习控制策略提出的必要性、与闭环PI调节的关系、使能条件、控制原理,同时设计了基于开关型氧传感器的自学习控制策略主程序和延时子程序算法,最终从理论层面上完成了对空燃比自学习控制策略的解析。

The closed-loop proportional and integral feedback control strategy for air fuel ratio in an electronic control engine based on switch-type Exhaust Gas Oxygen（EGO） sensor is introduced in this paper, and the A/F ratio self-learning control strategy is analyzed in detail. Additionally, the necessity and reason and the relationship with closed-loop PI regulation, and enabling conditions of the A/F ratio self-learning control strategy are investigated, designs The main program and time delay subprogram algorithm for the selflearning control strategy based on switch-type EGO sensor are designed. Finally, the analysis of the A/F ratio self-learning control strategy is accomplished in theory level.