基于DCT的并联混动汽车动力系统多参数优化研究

Research on Multi-Parameter Optimization of Parallel Hybrid Electric Vehicle Power System Based on DCT

摘要: 插电式混合动力汽车动力系统参数匹配会极大的影响车辆动力性与经济性，本文对一款搭载双离合自动变速器的并联式插电混合动力汽车进行了参数匹配，搭建了整车模型，并对整车的动力性及经济性进行了验证。针对混合动力汽车传动系统参数对经济性和排放性的影响，首先将双离合自动变速器传动比作为优化对象，设置相应的动力性约束，采用遗传算法通过Isight、Cruise和Matlab三软件联合优化，降低了油耗和排放，进一步的，对换挡规律也进行优化，最终将燃油消耗量降低6.54%，优化效果明显。

Abstract: The power system parameter matching of plug-in hybrid electric vehicle will greatly affect the vehi-cle dynamics and economy. In this paper, the parameters matching of a parallel plug-in hybrid electric vehicle equipped with dual-clutch automatic transmission was carried out, the whole vehi-cle model was built, and the vehicle dynamics and economy were verified. Aiming at the influence of transmission system parameters of hybrid electric vehicles on economy and emissions, firstly, DCT transmission ratio is taken as the optimization object, and corresponding dynamic constraints are set. The genetic algorithm is used to jointly optimize Isight, Cruise and Matlab to reduce fuel con-sumption and emissions. Furthermore, the shifting rule is also optimized. Finally, fuel consumption is reduced by 6.54%, and the optimization effect is obvious.