电动汽车排放的改进差分进化算法

Study of electric vehicle emissions by applying modified differential evolution algorithm

文章针对增程式电动汽车增程器燃油经济性和CO、HC排放问题进行优化。首先,将问题利用归一化和加权平均的方法转化为单一目标问题,以增程器外特性、功率区间需求和其他特性参数作为约束条件,利用MATLAB软件基于map图进行建模和仿真,使用改进的差分进化算法予以实现。最后,在AVL Puma Open台架实验平台上对HWFET工况下的增程器燃油经济性和CO、HC排放运用文章所提出的策略进行实验验证。实验结果表明,以增程器的燃油经济性和CO、HC排放为目标,可以实时精确地控制发动机转速、发电机转矩,有效实现降低整车油耗和排放。

This paper studies the fuel economy ol carbon monoxide （CO） and the problems associated with it and the hydrocarbons （HC） emissions of range extender electric vehicles. The problem was firstly converted to simple target by normalization and weighted average. Modeling and simulation of the fuel economy and CO and HC emissions of a range extender were based on a map and conducted using MATLAB and GUI and the motor’s external characteristics,actual power demand, and other parameters were used as constraints. The modified differential evolution algorithm was then employed to realize the problem. Finally,experimental verification of fuel economy and CO and HC emissions were conducted using the proposed approach and performed using the AVL Puma Open bench under HWFET driving cycles. The experiment results show that an approach aimed at fuel economy and optimizing CO and HC emissions involves controlling the engine speed and generator torque to optimize the fuel consumption rate in real-time and effectively enhances vehicle fuel economy and reduces CO and HC emissions .