基于差分进化算法的增程式电动汽车油耗率优化

Fuel consumption rate optimization of range extender electric vehicle based on differential evolution algorithm

针对增程式电动汽车增程器油耗率优化问题进行了研究。首先,分析了常用的油耗率优化策略及其不足,然后根据实际工程中的功率需求提出3种不同的模型。根据不同的模型,以电机外特性、实际功率需求和其他特性参数作为约束条件,利用MATLAB以及GUI软件对增程器油耗率问题基于map图和差分进化算法进行建模和仿真。最后,在台架实验平台上对NEDC、FTP、HWFET 3种工况下的油耗率运用本文方法进行实验验证。实验结果表明通过本方法对增程器的油耗率的优化,可以实时精确的控制发动机转速、发电机转矩,使得增程器可以一直运行于最佳工作点,有效的降低整车油耗和排放。

The fuel consumption rate optimization problem of range extender electric vehicle is researched. Firstly,the commonly-used optimization strategy of fuel consumption rate and its deficiency are analyzed,then,three different models are put forward according to the practical engineering need. According to the different models,the modeling and simulation of a range extender fuel consumption rate based on map and Differential Evolution algorithm are conducted with MATLAB and GUI with the motor external characteristic,actual power demand and other parameters as constraint. Finally,the experimental verification is performed under NEDC,FTP and HWFET driving cycles. The experiment results show that the proposed approach of fuel consumption rate optimization can control engine speed and generator torque according to fuel consumption rate optimization in real-time and accurately,the range extender could be worked at the best operation point,and vehicle fuel consumption and emission are reduced effectively.