基于遗传算法的混合动力客车驱动模式切换优化

Optimization of the Driving Mode Transformation of Hybrid Electric Bus based on Genetic Algorithm

混合动力客车城市公交客车因其具有两个动力源参与驱动,使得驱动模式的切换控制成为了整车控制策略的核心,不仅影响整车的燃油经济性和排放性,更是影响了整车的驾驶舒适性。应用高级模拟分析软件AVL CRUISE,联合Matlab/Simulink,搭建整车动态仿真模型。基于换挡规律的思想,调整驱动模式切换时的限值,使得整车驱动模式能够流畅切换。运用遗传算法,以等效百公里油耗量为目标,针对欧洲和中国的城市公交循环工况对影响驱动模式切换的控制参数进行优化,进一步改善了整车的燃油经济性能。

The hybrid electrical city bus has two power sources to drive vehicle,so the control of vehicle driving mode transformation is become the core of the vehicle control strategy.It not only influences the vehicle fuel economy and emissions,but also influences the driving comfort of the vehicle.An HEV simulation model is built for performance analysis by interlinking of advanced software AVL CRUISE and Matlab/Simulink.By adjusting threshold of the driving mode transformation,the mode can be transformed smoothly.For achieving minimum equivalent fuel consumption,the genetic algorithm（GA）optimization method is applied to get the optima of control parameters which affect the vehicle driving mode transformation in different city bus cycles including Europe and China.The vehicle fuel economy is further improved.