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针对车用发动机空燃比对发动机能耗及稳定性影响程度较大的问题,提出基于无迹Kalman 滤波的发动机空燃比PID 预测控制策略.首先,针对传统尾气管传感器测量反馈方式存在较大机械延迟问题,提出基于缸内压力数据的空燃比检测模型反馈方式,提高反馈数据的实时性;其次,针对压力数据无法直接反映出缸内燃料组分的问题,建立空燃比周期预测模型,利用上一周期尾气管检测数据及本周期缸内压力数据,利用无迹Kalman滤波算法建立空燃比估计预测模型,实现精确的PID 预测控制;最后,通过仿真对比,验证了所提预测控制方式的有效性.“,”Aiming at the problem that the energy consumption and the stability of the engine are greatly affected by the engine air fuel ratio, the PID predictive control strategy based on the Kalman filter is proposed. Firstly, the problem of large mechanical delay in the measurement of the traditional tail gas sensor is presented, and the feedback mode of air fuel ratio detection based on cylinder pressure data is presented, which improves the real-time performance of the feedback data; Secondly, according to the problem that the pressure data can not directly reflect the fuel composition of the cylinder, the air fuel ratio cycle prediction model is established, using the cycle exhaust pipe test data and the cylinder pressure data and the Kalman filter algorithm, an air fuel ratio estimation and prediction model is established, which realizes PID forecast control; Finally, the effectiveness of the proposed method is verified by simulation comparison.