When the electro-mechanical transmission (EMT) system switches to hybrid drive mode from pure electric mode, it is required to crank and start the engine. Due to the response lag of engine, the motor usually provides additional driving torque to ensure the power performance of vehicle. However, the excessive motor torque can cause too large a battery discharge current, in particular, when battery temperature is relatively low, may affect-ing the service life of battery. In this paper, an engine start control strategy for EMT system is proposed based on predictive information. Firstly by sampling the present and past information on system torque requirement and apply-ing adaptive recursive multi-step predictive algorithm, the online prediction on the required torque of system is com-pleted . Then the predicted information on the torque requirement of system is used to control engine starting process with the phenomenon of battery overload avoided. Hence on the premise of ensuring vehicle power performance, battery life can be effectively extended.%机电复合传动系统由纯电模式切换为混合驱动模式时，须要拖转起动发动机。由于发动机响应的滞后性，通常由电机提供额外的驱动转矩，以保证车辆的动力性。但过大的电机转矩会导致电池的放电电流过大，特别是电池的温度较低时，会影响电池的使用寿命。本文中提出了一种基于信息预测的机电复合传动系统发动机起动控制策略。首先，通过采集机电复合传动系统当前和过去的转矩需求信息，应用自适应递归多步预测算法，完成对机电复合传动系统的需求转矩的在线预测。然后利用预测的机电复合传动系统转矩需求信息，对发动机的起动过程进行控制，避免了电池的过载现象。在保证车辆动力性的前提下，能有效延长电池的使用寿命。
展开▼
