双离合器式自动变速器换档品质评价与优化

从控制的角度出发将双离合器式自动变速器(DCT)换档品质评价指标进行了细分定义。基于MATLAB/Simulink搭建了某DCT样车整车模型。设计了控制品质评价系统。通过整车系统模型与评价系统的联合仿真,确定了控制目标,即各个评价指标的控制期望区间,从而为双离合器式自动变速器控制策略、控制算法提供参考和指导。在换档控制中以换档品质评价等级最高为目标函数,通过遗传算法的多目标优化方法,针对扭矩相、惯性相离合器切换时序的控制策略进行了优化,得到了离合器分离/接合速度的最优解集。基于双离合器式自动变速器整车系统模型和评价系统的仿真平台,给出了换档品质优化前后的仿真结果。整车试验结果表明:换档控制策略和控制算法优化方案是正确的,从而改善了DCT的换档品质。

Shift quality assessment and optimization of dual-clutch transmission

The shift quality assessment indexes of the dual-clutch transmission(DCT) were defined in detail from the aspect of control.A DCT vehicle model was built using MATLAB/Simulink tools.A shift quality assessment system was designed.Through the co-simulation of the vehicle model and the assessment system,the DCT shift quality control targets,namely the expected control range of each assessment index was defined,providing the reference and guidance for the shift control strategy and algorithm.Taking the highest level of shift quality assessment as the target function,using the multi-target optimization method of the genetic algorithm,the control strategy of the clutch switch timings during the torque phase and the inertia phase was optimized,and the optimal solution sets of the clutch engaging and disengaging speeds were optimized.Based on the co-simulation platform of DCT vehicle model and assessment system,the simulation results on shift quality before and after the optimization were abtained.The vehicle test results showed that both the proposed shift control strategy and control algorithm are correct,they can improve the shift quality of DCT.