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干式双离合器自动变速器(DCT)的起步过程对其驾驶体验和使用寿命有很大影响;而车辆起步路况和驾驶员操作极其多样化,因此需要随之调整起步控制策略,来实现起步性能优化。该文基于车辆动力学从车速、等效坡度、路面附着和驾驶员意图4方面对起步工况进行识别,其中驾驶员意图识别结合了模糊推理模型。在起步工况识别基础上进行起步自适应控制,根据车速和路面附着选择最优的起步挡位,根据等效坡度和驾驶员意图控制双离合器的结合方式和结合速度。应用该识别方法和自适应起步控制策略进行仿真和实车测试,结果表明:车辆能有效识别不同的起步工况并采用适合该工况的起步方式,该控制策略有效提升了DCT的起步性能。
The start-up process of a dry dual clutch automatic transmission (DCT) has a great influence on its driving experience and service life; while the starting conditions of vehicles and drivers are extremely diverse, starting control strategies need to be adjusted accordingly to achieve initial performance optimization . Based on vehicle dynamics, this paper identifies starting conditions from vehicle speed, equivalent gradient, road surface attachment and driver’s intention. Driver’s intention recognition combines with fuzzy inference model. Based on the initial condition identification, the adaptive control is started. The optimal starting gear is selected according to the vehicle speed and the road surface attachment, and the dual clutch coupling method and speed are controlled according to the equivalent gradient and the driver’s intention. The simulation and real vehicle test are carried out by using the identification method and adaptive start control strategy. The results show that the vehicle can effectively identify different starting conditions and adopt the starting mode suitable for the working condition. The control strategy effectively improves the starting performance of the DCT.