【摘要】 为了减少双离合器式自动变速器(DCT)控制系统的开发时间和费用,利用Matlab/SimDriveLine车辆动力传动系统建模仿真软件,建立了DCT整车系统的动力学模型,采用神经网络训练改进了软件中的发动机模型,基于Matlab/Simulink系统设计了DCT车辆的起步、换挡过程以及换挡规律控制策略仿真模型。在此基础上,进行了DCT整车系统仿真。仿真实验结果表明所建立的DCT系统动力学模型及所设计的控制器的合理性和可行性,证明该方法建立的仿真模型适用于DCT控制系统开发,提高了系统设计的效率。更多还原

【Abstract】 In order to reduce development time and cost of dual-clutch automated mechanical transmission(DCT) control system,the dynamic model of automobile DCT control system is established by Matlab/SimDriveLine and the engine model is improved by neural network.Based on Matlab/Simulink,the simulation models of DCT control during starting phase,shift phase and shift rule are set up,and then the whole system of DCT is simulated.The simulation result indicates that the DCT system dynamic model and the designed controller are reasonable and feasible,and proofs that the model is suitable for developing DCT control system and improves the design efficiency of DCT system.更多还原